Repository: bioforensics/MicroHapDB (language: python)

Issue:
Repetitive content check
The MicroHapulator workflow has a check for repetitive content, which is great if you've already sequenced MH targets. But if you want to check *a priori* whether a microhap is likely to have issues due to repetitive content, a method relying only on the microhap reference sequence itself is required.

I was using BLAT versus GRCh38 on the UCSC genome browser earlier this evening to do some manual checks. But these checks should be possible on the command line as well.

```
blat -minScore=20 -minIdentity=0 -stepSize=5 -repMatch=2253 microhapdb/data/hg38.fasta scratch/mh-seqs.fasta scratch/mhs.psl
perl pslScore.pl scratch/mhs.psl > scratch/mh-blat-scores.tsv
```

After calculating alignments with BLAT and computing the BLAT scores, as shown above, the repetitive content check procedure should have two main operations.

- As a sanity check, the BLAT results are examined to confirm that there is a 100% identity hit where expected.
- The main check is to scan for high quality hits in addition to the top hit. If there are multiple top hits of identical score, or even if there are any hits whose identity and score are above some threshold (e.g. identity ≥ 75% and score ≥ 50% of the max score), the marker is flagged as repetitive.


Discussion / hints:

Fix patch:
diff --git a/CHANGELOG.md b/CHANGELOG.md
index df73d167..0e245649 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,12 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## Unreleased
+
+### Added 
+- A new table flagging markers with repetitive content (see #147).
+
+
 ## [0.10.1] 2023-10-13
 
 ### Fixed
diff --git a/dbbuild/build.py b/dbbuild/build.py
index becedd95..89931cd5 100755
--- a/dbbuild/build.py
+++ b/dbbuild/build.py
@@ -15,11 +15,14 @@
 from argparse import ArgumentParser
 from lib import SourceIndex
 from pathlib import Path
+from repeats import main as flag_repeats
 import sys
 
 
-def main(source_path, dbsnp_path, chain_path, exclusions=["Auton2015"], check_only=False):
-    validate_paths(dbsnp_path, chain_path)
+def main(
+    source_path, dbsnp_path, chain_path, rmsk_path, exclusions=["Auton2015"], check_only=False
+):
+    validate_paths(dbsnp_path, chain_path, rmsk_path)
     if check_only:
         return
     index = SourceIndex(source_path, dbsnp_path, chain_path, exclude=exclusions)
@@ -32,10 +35,12 @@ def main(source_path, dbsnp_path, chain_path, exclusions=["Auton2015"], check_on
     )
     index.populations.to_csv("population.csv", index=False)
     index.merges.to_csv("merged.csv", index=False)
+    repeats = flag_repeats(Path(rmsk_path) / "rmsk.txt.gz", "marker.csv", delta=25)
+    repeats.to_csv("repeats.csv", index=False)
     print(index)
 
 
-def validate_paths(dbsnp_path, chain_path):
+def validate_paths(dbsnp_path, rmsk_path, chain_path):
     paths = list()
     for version in (37, 38):
         for extension in ("vcf.gz", "vcf.gz.tbi", "rsidx"):
@@ -44,6 +49,7 @@ def validate_paths(dbsnp_path, chain_path):
     paths.append(Path(dbsnp_path) / "refsnp-merged.csv.gz")
     paths.append(Path(chain_path) / "hg19ToHg38.over.chain.gz")
     paths.append(Path(chain_path) / "hg38ToHg19.over.chain.gz")
+    paths.append(Path(rmsk_path) / "rmsk.txt.gz")
     files_present = [p.is_file() for p in paths]
     print("-" * 60, "[Auxiliary data file check]\n", "Present  Path", sep="\n", file=sys.stderr)
     for path, present in zip(paths, files_present):
@@ -58,6 +64,7 @@ def get_parser():
     parser = ArgumentParser(description="MicroHapDB database build procedure")
     parser.add_argument("dbsnp_path")
     parser.add_argument("chain_path")
+    parser.add_argument("rmsk_path")
     parser.add_argument(
         "--sources",
         default="sources",
@@ -83,6 +90,7 @@ def get_parser():
         args.sources,
         args.dbsnp_path,
         args.chain_path,
+        args.rmsk_path,
         exclusions=args.exclude,
         check_only=args.check,
     )
diff --git a/dbbuild/repeats.csv b/dbbuild/repeats.csv
new file mode 100644
index 00000000..2996048f
--- /dev/null
+++ b/dbbuild/repeats.csv
@@ -0,0 +1,1381 @@
+Marker,Repeat
+mh01CP-007,MIRc|SINE|MIR
+mh01CP-008,AluY|SINE|Alu
+mh01CP-016,MIRb|SINE|MIR
+mh01HYP-02,AluJr|SINE|Alu
+mh01KK-106,MIRb|SINE|MIR
+mh01KK-210,MIRb|SINE|MIR
+mh01KK-211.v4,(GGAAGTG)n|Simple_repeat
+mh01KK-213.v1,LTR36|LTR|ERV1
+mh01KK-213.v2,LTR36|LTR|ERV1
+mh01KK-213.v3,LTR36|LTR|ERV1
+mh01LW-3,AluJo|SINE|Alu;MIRc|SINE|MIR
+mh01NH-02,L1ME5|LINE|L1
+mh01SCUZJ-0000740,AluY|SINE|Alu
+mh01SCUZJ-0016447,MER41D|LTR|ERV1;L1MC1|LINE|L1;THE1B|LTR|ERVL-MaLR
+mh01SCUZJ-0041531,AluY|SINE|Alu;(AAAT)n|Simple_repeat;AluY|SINE|Alu
+mh01SCUZJ-0062205,L1MC4a|LINE|L1;AluSz|SINE|Alu;L1MC4a|LINE|L1
+mh01SCUZJ-0076454,MIRb|SINE|MIR
+mh01SCUZJ-0081962,AluY|SINE|Alu;AluSx1|SINE|Alu
+mh01SCUZJ-0082140,(CTGCCCCT)n|Simple_repeat;L2|LINE
+mh01SCUZJ-0098514,L3|LINE|CR1;L2a|LINE|L2
+mh01SCUZJ-0109665.v1,MIR3|SINE|MIR
+mh01SCUZJ-0109665.v2,MIR3|SINE|MIR
+mh01SCUZJ-0156524,L2c|LINE|L2;MIR|SINE;L2c|LINE|L2
+mh01SCUZJ-0165190,LTR5A|LTR|ERVK
+mh01SCUZJ-0212470,HERVH-int|LTR|ERV1
+mh01SCUZJ-0237331,LTR12C|LTR|ERV1
+mh01SCUZJ-0258509,AluSc8|SINE|Alu
+mh01SCUZJ-0260152,AluSz|SINE|Alu;AluJb|SINE|Alu
+mh01SCUZJ-0270838,MER77|LTR|ERVL;L1PA3|LINE|L1
+mh01SCUZJ-0275072,(ATATACAC)n|Simple_repeat;(TATATG)n|Simple_repeat
+mh01SCUZJ-0285696,OldhAT1|DNA|hAT-Ac;MLT1K|LTR|ERVL-MaLR
+mh01SCUZJ-0291678,L2b|LINE|L2;L2a|LINE|L2
+mh01SCUZJ-0293896,MIRc|SINE|MIR
+mh01SCUZJ-0312202,AluY|SINE|Alu
+mh01SCUZJ-0338874,AluSz|SINE|Alu;(TAA)n|Simple_repeat;(AAG)n|Simple_repeat
+mh01SCUZJ-0357248,ALR/Alpha|Satellite|centr
+mh01SCUZJ-0357485,ALR/Alpha|Satellite|centr
+mh01SCUZJ-0379058,AluSp|SINE|Alu;L2c|LINE|L2
+mh01SCUZJ-0396461,MER57F|LTR|ERV1
+mh01SCUZJ-0398141,MIRc|SINE|MIR;MER94|DNA|hAT-Blackjack;AluJr|SINE|Alu
+mh01SCUZJ-0404628,MIR|SINE
+mh01SCUZJ-0458139,HERVH-int|LTR|ERV1
+mh01SCUZJ-0481939,(TTCC)n|Simple_repeat
+mh01SCUZJ-0483367,(AT)n|Simple_repeat;(GT)n|Simple_repeat;L1MC4a|LINE|L1
+mh01SCUZJ-0506502,(GGAGCC)n|Simple_repeat
+mh01SCUZJ-0508420,(TA)n|Simple_repeat;(TA)n|Simple_repeat
+mh01SCUZJ-0533772,UCON132b|DNA|hAT-Tip100
+mh01SCUZJ-0568347,L2a|LINE|L2
+mh01SCUZJ-0577309,(TTTA)n|Simple_repeat;MER66B|LTR|ERV1;LTR85c|LTR|Gypsy?;AluJr|SINE|Alu
+mh01SCUZJ-0582920,L1PA4|LINE|L1
+mh01SCUZJ-0583641,(ACATAT)n|Simple_repeat
+mh01SCUZJ-0589288,L1ME4a|LINE|L1
+mh01SCUZJ-0598913,MER104|DNA|TcMar-Tc2
+mh01SCUZJ-0604411,AluJo|SINE|Alu;(TG)n|Simple_repeat;AluJo|SINE|Alu
+mh01SCUZJ-0617755,AluSc8|SINE|Alu;L2a|LINE|L2;(CT)n|Simple_repeat;L2a|LINE|L2
+mh01SCUZJ-0633517,AluSc|SINE|Alu;MER21B|LTR|ERVL
+mh01SCUZJ-0638849,AluY|SINE|Alu
+mh01SCUZJ-0662222,AluY|SINE|Alu;FLAM_C|SINE|Alu
+mh01SCUZJ-0667867,AluY|SINE|Alu
+mh01SCUZJ-0675568,AluY|SINE|Alu;Tigger1|DNA|TcMar-Tigger
+mh01SHY-001,L2a|LINE|L2
+mh01USC-1pC,MLT1E1|LTR|ERVL-MaLR
+mh01USC-1qB,MIRb|SINE|MIR
+mh01USC-1qC.v1,L1MC2|LINE|L1
+mh01USC-1qC.v2,AluJb|SINE|Alu;L1MC2|LINE|L1
+mh01WL-047.v1,MLT1O|LTR|ERVL-MaLR
+mh01WL-047.v2,MLT1O|LTR|ERVL-MaLR
+mh01WL-074,(CTGCCC)n|Simple_repeat
+mh01WL-078,L1ME3|LINE|L1
+mh01WL-080,MIRb|SINE|MIR
+mh01WL-081,(GCAAGT)n|Simple_repeat
+mh01WL-083,(CTTT)n|Simple_repeat
+mh01WL-086,MIRb|SINE|MIR
+mh01WL-088.v2,L1ME3G|LINE|L1
+mh01WL-095,L2b|LINE|L2
+mh01WL-097.v2,(CTTACACATG)n|Simple_repeat
+mh01WL-098,(GTTT)n|Simple_repeat
+mh01WL-107,MIRb|SINE|MIR
+mh01WL-114,MIRb|SINE|MIR
+mh01WL-116,(CTGCT)n|Simple_repeat
+mh01ZBF-001,AluY|SINE|Alu;L3|LINE|CR1
+mh01ZHA-009,MIRb|SINE|MIR
+mh02KK-004.v1,MIRb|SINE|MIR
+mh02KK-004.v2,MIRb|SINE|MIR
+mh02KK-013.v1,L2a|LINE|L2
+mh02KK-013.v2,L2a|LINE|L2
+mh02KK-014.v1,L2a|LINE|L2
+mh02KK-014.v2,L2a|LINE|L2
+mh02KK-014.v3,L2a|LINE|L2
+mh02KK-014.v4,L2a|LINE|L2
+mh02KK-014.v5,L2a|LINE|L2
+mh02KK-029.v1,L2b|LINE|L2
+mh02KK-029.v2,L2b|LINE|L2
+mh02KK-029.v4,L2b|LINE|L2
+mh02KK-029.v5,L2b|LINE|L2
+mh02KK-031.v1,AluY|SINE|Alu
+mh02KK-031.v2,AluY|SINE|Alu
+mh02KK-102,MER5B|DNA|hAT-Charlie
+mh02KK-136.v1,MIR|SINE
+mh02KK-136.v2,MIR|SINE
+mh02KK-136.v3,MIR|SINE
+mh02KK-202,L2a|LINE|L2
+mh02LV-05.v1,THE1B|LTR|ERVL-MaLR
+mh02LV-05.v2,THE1B|LTR|ERVL-MaLR
+mh02LV-08.v1,AluSc5|SINE|Alu
+mh02LV-08.v2,AluSc5|SINE|Alu
+mh02LW-6,FRAM|SINE|Alu
+mh02LW-7,MLT2B4|LTR|ERVL;(TC)n|Simple_repeat;(TA)n|Simple_repeat;Ricksha_c|DNA|MULE-MuDR
+mh02LW-9,AluSx1|SINE|Alu
+mh02NH-05,MamGypLTR1a|LTR|Gypsy
+mh02SCUZJ-0004047.v1,L1M5|LINE|L1
+mh02SCUZJ-0013841,MIRc|SINE|MIR
+mh02SCUZJ-0025110,AluSx|SINE|Alu
+mh02SCUZJ-0030534,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh02SCUZJ-0032084,(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh02SCUZJ-0038503,(CG)n|Simple_repeat;(CA)n|Simple_repeat;(AG)n|Simple_repeat;L1ME4a|LINE|L1;MIRc|SINE|MIR
+mh02SCUZJ-0043006,(TA)n|Simple_repeat
+mh02SCUZJ-0044444,(TA)n|Simple_repeat;(GTATAC)n|Simple_repeat;(TA)n|Simple_repeat;L1ME3Cz|LINE|L1;AluSx1|SINE|Alu
+mh02SCUZJ-0061890,LTR78|LTR|ERV1;MIRb|SINE|MIR
+mh02SCUZJ-0067070,(GT)n|Simple_repeat
+mh02SCUZJ-0082461,LTR5A|LTR|ERVK
+mh02SCUZJ-0105665,L1ME3D|LINE|L1;MamRep38|DNA|hAT
+mh02SCUZJ-0127632,LTR89|LTR|ERVL?
+mh02SCUZJ-0148472,(GA)n|Simple_repeat
+mh02SCUZJ-0157891,L1PA2|LINE|L1
+mh02SCUZJ-0160617,L1MB3|LINE|L1
+mh02SCUZJ-0190002.v1,AluY|SINE|Alu
+mh02SCUZJ-0190002.v2,AluY|SINE|Alu
+mh02SCUZJ-0202886,GA-rich|Low_complexity;(AGAA)n|Simple_repeat;GA-rich|Low_complexity
+mh02SCUZJ-0224273.v1,(GGAAA)n|Simple_repeat;G-rich|Low_complexity
+mh02SCUZJ-0224273.v2,(GGAAA)n|Simple_repeat;G-rich|Low_complexity
+mh02SCUZJ-0232405,AluSx|SINE|Alu;AluJb|SINE|Alu;(AAAC)n|Simple_repeat;AluJb|SINE|Alu
+mh02SCUZJ-0244318.v1,AluSx3|SINE|Alu
+mh02SCUZJ-0244318.v2,AluSx3|SINE|Alu;(AAAAC)n|Simple_repeat;L2b|LINE|L2
+mh02SCUZJ-0250065,L1PA2|LINE|L1
+mh02SCUZJ-0253084,HERVH-int|LTR|ERV1
+mh02SCUZJ-0268507,AluY|SINE|Alu;(AAAT)n|Simple_repeat
+mh02SCUZJ-0308581.v1,AluY|SINE|Alu;(CTTT)n|Simple_repeat
+mh02SCUZJ-0308581.v2,AluY|SINE|Alu;(CTTT)n|Simple_repeat
+mh02SCUZJ-0317355,X7B_LINE|LINE|CR1;MamRep38|DNA|hAT
+mh02SCUZJ-0332125,MER34|LTR|ERV1;AluJr|SINE|Alu
+mh02SCUZJ-0360106,L2a|LINE|L2;(CT)n|Simple_repeat
+mh02SCUZJ-0378972,L1MA9|LINE|L1
+mh02SCUZJ-0390961.v1,LTR84a|LTR|ERVL;AluY|SINE|Alu
+mh02SCUZJ-0390961.v2,AluY|SINE|Alu
+mh02SCUZJ-0400681,(AT)n|Simple_repeat
+mh02SCUZJ-0409633,(TG)n|Simple_repeat
+mh02SCUZJ-0413888,(ATATAT)n|Simple_repeat
+mh02SCUZJ-0419421,AluY|SINE|Alu;GA-rich|Low_complexity
+mh02SCUZJ-0429492,(AACTA)n|Simple_repeat;(TC)n|Simple_repeat
+mh02SCUZJ-0461323,AluSc|SINE|Alu;AluY|SINE|Alu
+mh02SCUZJ-0477460,(GAGG)n|Simple_repeat;(GA)n|Simple_repeat
+mh02SCUZJ-0485101,AluJr|SINE|Alu
+mh02SCUZJ-0497317,HERVH-int|LTR|ERV1
+mh02SCUZJ-0510209,AluSx1|SINE|Alu;(ATCT)n|Simple_repeat;(AT)n|Simple_repeat;AluSc|SINE|Alu
+mh02SCUZJ-0606389,(TTTC)n|Simple_repeat
+mh02SCUZJ-0611908,LTR32|LTR|ERVL
+mh02SCUZJ-0626428,Tigger3b|DNA|TcMar-Tigger;(TG)n|Simple_repeat;Tigger3b|DNA|TcMar-Tigger
+mh02SCUZJ-0634240,AluSx1|SINE|Alu;L2b|LINE|L2
+mh02SCUZJ-0637033,LTR106_Mam|LTR;AluSx1|SINE|Alu
+mh02SCUZJ-0642566,MER2|DNA|TcMar-Tigger;AluJr|SINE|Alu;MER2|DNA|TcMar-Tigger;AluSc|SINE|Alu
+mh02SCUZJ-0643696,AluY|SINE|Alu
+mh02SCUZJ-0646821,(GAG)n|Simple_repeat
+mh02SCUZJ-0649254,(ACAT)n|Simple_repeat;(TATG)n|Simple_repeat
+mh02SCUZJ-0653761,AluSq2|SINE|Alu
+mh02SCUZJ-0677360,(CA)n|Simple_repeat
+mh02SHY-002.v1,LTR45C|LTR|ERV1
+mh02USC-2qA,L2c|LINE|L2
+mh02USC-2qC,L1MC5a|LINE|L1
+mh02USC-2qD,MER74A|LTR|ERVL
+mh02WL-007,LTR41|LTR|ERVL;(GT)n|Simple_repeat
+mh02WL-012,MIRb|SINE|MIR
+mh02WL-014,L2a|LINE|L2
+mh02WL-044,MIR3|SINE|MIR
+mh02WL-047.v1,(AC)n|Simple_repeat
+mh02WL-047.v2,(AC)n|Simple_repeat
+mh02WL-049,MLT1A0|LTR|ERVL-MaLR
+mh02WL-057,L4_A_Mam|LINE|RTE-X
+mh02WL-069,MIR|SINE
+mh02WL-071,AluSz|SINE|Alu
+mh02WL-075,(TA)n|Simple_repeat
+mh02WL-077,MamSINE1|SINE|tRNA-RTE
+mh02WL-086,(CA)n|Simple_repeat
+mh02WL-088.v1,MIRc|SINE|MIR
+mh02WL-088.v2,MIRc|SINE|MIR
+mh02WL-093,(TATC)n|Simple_repeat
+mh02WL-098,(AC)n|Simple_repeat
+mh02WL-101,(TTCA)n|Simple_repeat
+mh02ZBF-001,AluSx3|SINE|Alu
+mh02ZHA-001,MIRc|SINE|MIR
+mh02ZHA-003,AluSc|SINE|Alu;AluSq2|SINE|Alu;AluJo|SINE|Alu
+mh02ZHA-008,MER20|DNA|hAT-Charlie
+mh02ZHA-013.v1,AluY|SINE|Alu
+mh02ZHA-013.v2,AluY|SINE|Alu
+mh02ZHA-013.v3,AluY|SINE|Alu
+mh03CP-005,AluSp|SINE|Alu;L1ME3G|LINE|L1
+mh03HYP-06,Charlie24|DNA|hAT-Charlie
+mh03HYP-07,MLT1K|LTR|ERVL-MaLR
+mh03HYP-10,MLT1K|LTR|ERVL-MaLR
+mh03KK-008,MER39|LTR|ERV1
+mh03KK-016.v1,MIRb|SINE|MIR
+mh03KK-016.v2,MIRb|SINE|MIR
+mh03KK-017.v1,L1ME3|LINE|L1
+mh03KK-017.v2,L1ME3|LINE|L1
+mh03KK-017.v3,L1ME3|LINE|L1
+mh03KK-017.v4,MER3|DNA|hAT-Charlie;L1ME3|LINE|L1
+mh03KK-017.v5,MER3|DNA|hAT-Charlie;L1ME3|LINE|L1
+mh03KK-018.v1,Charlie2b|DNA|hAT-Charlie
+mh03KK-018.v2,Charlie2b|DNA|hAT-Charlie
+mh03KK-047.v1,MamRep137|DNA|TcMar-Tigger;L2c|LINE|L2
+mh03KK-047.v2,MamRep137|DNA|TcMar-Tigger;L2c|LINE|L2
+mh03KK-150.v1,MIRb|SINE|MIR;(TTTTG)n|Simple_repeat
+mh03KK-150.v2,MIRb|SINE|MIR;(TTTTG)n|Simple_repeat
+mh03KK-150.v3,MIRb|SINE|MIR
+mh03LV-01.v1,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-01.v2,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-01.v3,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-07.v1,AluY|SINE|Alu
+mh03LV-07.v2,AluY|SINE|Alu;HAL1|LINE|L1
+mh03LW-11,AluSg|SINE|Alu
+mh03SCUZJ-0000972.v1,(TA)n|Simple_repeat;AluY|SINE|Alu
+mh03SCUZJ-0000972.v2,AluY|SINE|Alu
+mh03SCUZJ-0048040,L1MC3|LINE|L1
+mh03SCUZJ-0048662,L2a|LINE|L2;THE1B|LTR|ERVL-MaLR
+mh03SCUZJ-0056495,MLT1A0|LTR|ERVL-MaLR;LTR33|LTR|ERVL
+mh03SCUZJ-0058881,AluJr|SINE|Alu;L2a|LINE|L2
+mh03SCUZJ-0064731,LTR33|LTR|ERVL;L2c|LINE|L2
+mh03SCUZJ-0080612,THE1A|LTR|ERVL-MaLR
+mh03SCUZJ-0084341,MamRTE1|LINE|RTE-BovB
+mh03SCUZJ-0101318,MLT1H|LTR|ERVL-MaLR;AluSc|SINE|Alu
+mh03SCUZJ-0105398,MIRb|SINE|MIR;LTR49|LTR|ERV1
+mh03SCUZJ-0130995,L1ME3G|LINE|L1;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat
+mh03SCUZJ-0138782,Charlie14a|DNA|hAT-Charlie
+mh03SCUZJ-0139620,AluYe6|SINE|Alu
+mh03SCUZJ-0154827,AluSg|SINE|Alu;MLT1G3|LTR|ERVL-MaLR;(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh03SCUZJ-0161227,(TA)n|Simple_repeat
+mh03SCUZJ-0165954,AluY|SINE|Alu;(AAC)n|Simple_repeat;AluY|SINE|Alu;HAL1|LINE|L1
+mh03SCUZJ-0172202,MLT1L|LTR|ERVL-MaLR
+mh03SCUZJ-0197004,THE1B|LTR|ERVL-MaLR;MLT1C-int|LTR|ERVL-MaLR;MLT1C|LTR|ERVL-MaLR
+mh03SCUZJ-0204490,AluSg|SINE|Alu
+mh03SCUZJ-0214757,L1MA2|LINE|L1
+mh03SCUZJ-0229447,L1MA7|LINE|L1;(TA)n|Simple_repeat
+mh03SCUZJ-0234425,AluSp|SINE|Alu
+mh03SCUZJ-0242802,MER2|DNA|TcMar-Tigger
+mh03SCUZJ-0257419,AluJb|SINE|Alu;MLT1L|LTR|ERVL-MaLR
+mh03SCUZJ-0306913,L1MA3|LINE|L1;L2a|LINE|L2
+mh03SCUZJ-0392555,L1PA3|LINE|L1
+mh03SCUZJ-0400856,L1PA6|LINE|L1
+mh03SCUZJ-0421208,(GT)n|Simple_repeat;GA-rich|Low_complexity;(GT)n|Simple_repeat
+mh03SCUZJ-0436981,SVA_D|Retroposon|SVA
+mh03SCUZJ-0455199,L1PA6|LINE|L1
+mh03SCUZJ-0473203,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh03SCUZJ-0489444,(ATTTC)n|Simple_repeat;AluSg|SINE|Alu
+mh03SCUZJ-0490785,(AC)n|Simple_repeat;(TC)n|Simple_repeat
+mh03SCUZJ-0501341,AluSx|SINE|Alu;MLT1B|LTR|ERVL-MaLR
+mh03SCUZJ-0521312,AluY|SINE|Alu
+mh03SCUZJ-0556403,Ricksha_0|DNA|MULE-MuDR;AluYj4|SINE|Alu;Ricksha_0|DNA|MULE-MuDR
+mh03SCUZJ-0556515,AluY|SINE|Alu
+mh03SCUZJ-0589868,HAL1|LINE|L1;AluSz|SINE|Alu
+mh03SCUZJ-0602768.v1,MER102a|DNA|hAT-Charlie;MER102a|DNA|hAT-Charlie
+mh03SCUZJ-0602768.v2,MER102a|DNA|hAT-Charlie
+mh03SCUZJ-0630191,MIR3|SINE|MIR;MER5B|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie;MER41D|LTR|ERV1
+mh03SHY-001,L2a|LINE|L2;L2|LINE
+mh03SHY-004,Zaphod|DNA|hAT-Tip100;Zaphod|DNA|hAT-Tip100
+mh03USC-3pB,MIRb|SINE|MIR;L2a|LINE|L2
+mh03USC-3qB,MLT1D|LTR|ERVL-MaLR
+mh03USC-3qC.v2,MER53|DNA|hAT
+mh03USC-3qC.v3,MER53|DNA|hAT
+mh03WL-006.v2,UCON49|LINE|L2
+mh03WL-017.v1,L3|LINE|CR1
+mh03WL-017.v2,L3|LINE|CR1
+mh03WL-046,MLT1O|LTR|ERVL-MaLR
+mh03WL-054,(ATA)n|Simple_repeat
+mh03WL-059,L2b|LINE|L2
+mh03WL-064,MamRTE1|LINE|RTE-BovB
+mh03WL-074,L4_A_Mam|LINE|RTE-X
+mh03ZHA-009,AluJo|SINE|Alu
+mh04CP-002,L2b|LINE|L2
+mh04CP-003,L2|LINE
+mh04CP-004,L1M5|LINE|L1
+mh04KK-011.v1,Charlie5|DNA|hAT-Charlie
+mh04KK-011.v2,Charlie5|DNA|hAT-Charlie
+mh04KK-016,L1MEc|LINE|L1
+mh04KK-030.v2,MER45A|DNA|hAT-Tip100
+mh04KK-030.v3,MER45A|DNA|hAT-Tip100
+mh04KK-074,L2|LINE
+mh04LW-13,LTR12C|LTR|ERV1
+mh04LW-15,(AT)n|Simple_repeat;(AG)n|Simple_repeat
+mh04LW-16,AluSp|SINE|Alu;(TAC)n|Simple_repeat;(AAT)n|Simple_repeat
+mh04SCUZJ-0002446,(TCTCTC)n|Simple_repeat;(CTGTCT)n|Simple_repeat;(TCTCTC)n|Simple_repeat
+mh04SCUZJ-0003326,L2a|LINE|L2;AluY|SINE|Alu
+mh04SCUZJ-0010543,AluY|SINE|Alu
+mh04SCUZJ-0017022,HERVE-int|LTR|ERV1
+mh04SCUZJ-0019973,HERVH-int|LTR|ERV1
+mh04SCUZJ-0038724,AluY|SINE|Alu;AluSx3|SINE|Alu
+mh04SCUZJ-0041270,L1MB8|LINE|L1
+mh04SCUZJ-0046198,(TGG)n|Simple_repeat
+mh04SCUZJ-0059871.v1,(CA)n|Simple_repeat
+mh04SCUZJ-0059871.v2,(CA)n|Simple_repeat
+mh04SCUZJ-0078389,L2b|LINE|L2
+mh04SCUZJ-0094786,AluSx3|SINE|Alu;L1M5|LINE|L1
+mh04SCUZJ-0098303,MLT1F2|LTR|ERVL-MaLR;MER94|DNA|hAT-Blackjack
+mh04SCUZJ-0115278.v1,MLT2A1|LTR|ERVL;(TA)n|Simple_repeat
+mh04SCUZJ-0115278.v2,(TA)n|Simple_repeat
+mh04SCUZJ-0126299,MSTB1|LTR|ERVL-MaLR
+mh04SCUZJ-0128388,AluSg|SINE|Alu;L1ME1|LINE|L1;(GT)n|Simple_repeat
+mh04SCUZJ-0175374,LTR16A|LTR|ERVL
+mh04SCUZJ-0194557.v1,(AT)n|Simple_repeat
+mh04SCUZJ-0194557.v2,(AT)n|Simple_repeat
+mh04SCUZJ-0216446.v1,MLT2D|LTR|ERVL;AluY|SINE|Alu
+mh04SCUZJ-0216446.v2,AluY|SINE|Alu;MLT2D|LTR|ERVL
+mh04SCUZJ-0221035,GSATII|Satellite|centr
+mh04SCUZJ-0221892,(GAATG)n|Satellite
+mh04SCUZJ-0226356,(CAA)n|Simple_repeat
+mh04SCUZJ-0246595,MER51-int|LTR|ERV1
+mh04SCUZJ-0254883,(CT)n|Simple_repeat;(AT)n|Simple_repeat;(GT)n|Simple_repeat
+mh04SCUZJ-0323171,AluY|SINE|Alu;(ATT)n|Simple_repeat;(TA)n|Simple_repeat;AluJb|SINE|Alu
+mh04SCUZJ-0370257,(ATATAT)n|Simple_repeat
+mh04SCUZJ-0374334,MER103C|DNA|hAT-Charlie;AluY|SINE|Alu
+mh04SCUZJ-0403151,(AATAG)n|Simple_repeat;L2a|LINE|L2;MER34A|LTR|ERV1
+mh04SCUZJ-0414863,AluSc|SINE|Alu;AluSg|SINE|Alu;AluSc|SINE|Alu
+mh04SCUZJ-0418776,L1ME2|LINE|L1;AluSz|SINE|Alu;(TTA)n|Simple_repeat;AluSz|SINE|Alu
+mh04SCUZJ-0442262,LTR12C|LTR|ERV1
+mh04SCUZJ-0474140,AluSx|SINE|Alu;L1MC5a|LINE|L1;AluJb|SINE|Alu
+mh04SCUZJ-0474306,AluYm1|SINE|Alu;(AT)n|Simple_repeat
+mh04SCUZJ-0483017,L1PA4|LINE|L1
+mh04SCUZJ-0488072,SST1|Satellite|centr
+mh04SCUZJ-0515541,(GC)n|Simple_repeat;L1MD2|LINE|L1
+mh04SCUZJ-0518603,(GAT)n|Simple_repeat;(TAT)n|Simple_repeat;AluY|SINE|Alu
+mh04SCUZJ-0536901,L2a|LINE|L2
+mh04SCUZJ-0573519,AluSx|SINE|Alu
+mh04SCUZJ-0576302,AluY|SINE|Alu
+mh04SCUZJ-0580985,AluSc8|SINE|Alu
+mh04SCUZJ-0585795,THE1B|LTR|ERVL-MaLR;AluY|SINE|Alu
+mh04SCUZJ-0606401,HERVH-int|LTR|ERV1
+mh04SCUZJ-0635044.v1,AluY|SINE|Alu
+mh04SCUZJ-0635044.v2,AluY|SINE|Alu
+mh04SCUZJ-0639864,AluY|SINE|Alu
+mh04SCUZJ-0650295,MER5A1|DNA|hAT-Charlie;L1ME3D|LINE|L1
+mh04SCUZJ-0661155,(CACATA)n|Simple_repeat
+mh04SCUZJ-0666563,L1MC4|LINE|L1;AluY|SINE|Alu;L1MC4|LINE|L1
+mh04SCUZJ-0668434,AluJr|SINE|Alu
+mh04SCUZJ-0675378,MER45R|DNA|hAT-Tip100;AluYh3|SINE|Alu;MER45R|DNA|hAT-Tip100
+mh04SCUZJ-0676070,A-rich|Low_complexity
+mh04SCUZJ-0684549.v1,AluY|SINE|Alu
+mh04SCUZJ-0684549.v2,AluY|SINE|Alu
+mh04SCUZJ-0692850,GA-rich|Low_complexity
+mh04SCUZJ-0696971,AluYa5|SINE|Alu;AluSc|SINE|Alu
+mh04SHY-004,MIRb|SINE|MIR
+mh04USC-4pA,MER47A|DNA|TcMar-Tigger
+mh04USC-4pB,MIRc|SINE|MIR
+mh04USC-4qA,L1MCa|LINE|L1
+mh04USC-4qC,MLT1J1|LTR|ERVL-MaLR
+mh04WL-009.v1,AluJr|SINE|Alu
+mh04WL-009.v2,MIR3|SINE|MIR;AluJr|SINE|Alu
+mh04WL-012.v3,AluSg|SINE|Alu
+mh04WL-031.v1,(TG)n|Simple_repeat
+mh04WL-031.v2,(TG)n|Simple_repeat
+mh04WL-031.v3,(TG)n|Simple_repeat
+mh04WL-032,AluSx4|SINE|Alu;(TAAA)n|Simple_repeat
+mh04WL-035,L1ME2|LINE|L1
+mh04WL-050,Arthur1A|DNA|hAT-Tip100
+mh04WL-052.v2,(TGCCCC)n|Simple_repeat
+mh04WL-057,L2b|LINE|L2;MER20|DNA|hAT-Charlie
+mh04WL-069,ORSL-2b|DNA|hAT-Tip100
+mh04WL-081.v1,(CAAAA)n|Simple_repeat
+mh04WL-081.v2,(CAAAA)n|Simple_repeat
+mh04WL-083,AluJr4|SINE|Alu
+mh04WL-090,GA-rich|Low_complexity
+mh04WL-091,MER33|DNA|hAT-Charlie
+mh04WL-092,(GACCCA)n|Simple_repeat;(GGCTGCA)n|Simple_repeat
+mh04ZBF-001,ORSL|DNA|hAT-Tip100
+mh04ZHA-001,MER5B|DNA|hAT-Charlie;L1MB5|LINE|L1
+mh04ZHA-002.v3,MER89|LTR|ERV1
+mh04ZHA-004,(CCACAG)n|Simple_repeat;MIRc|SINE|MIR
+mh04ZHA-007,MER51-int|LTR|ERV1
+mh05CP-010,L1PB1|LINE|L1
+mh05HYP-14,HERVH-int|LTR|ERV1;LTR7|LTR|ERV1
+mh05KK-120.v2,L2c|LINE|L2
+mh05KK-122,MIRc|SINE|MIR
+mh05KK-123,MIR|SINE
+mh05KK-170.v1,(AAAC)n|Simple_repeat
+mh05KK-170.v2,(AAAC)n|Simple_repeat
+mh05KK-170.v3,(AAAC)n|Simple_repeat
+mh05KK-170.v4,(AAAC)n|Simple_repeat
+mh05LW-17,L1M4|LINE|L1;(AT)n|Simple_repeat
+mh05LW-18,MER110A|LTR|ERV1
+mh05LW-19,MIRb|SINE|MIR
+mh05NH-10,L2c|LINE|L2
+mh05SCUZJ-0019879,AluSg|SINE|Alu;L1ME2|LINE|L1
+mh05SCUZJ-0042261,THE1B|LTR|ERVL-MaLR
+mh05SCUZJ-0050609,AluY|SINE|Alu
+mh05SCUZJ-0059185,(TTCA)n|Simple_repeat;L2b|LINE|L2
+mh05SCUZJ-0149834,(TA)n|Simple_repeat
+mh05SCUZJ-0152132,AluYe5|SINE|Alu
+mh05SCUZJ-0157735,L1M5|LINE|L1;(TTTAA)n|Simple_repeat;L1PB1|LINE|L1
+mh05SCUZJ-0215771,AluYa5|SINE|Alu;L1MB4|LINE|L1
+mh05SCUZJ-0218741,L4_C_Mam|LINE|RTE-X;MER117|DNA|hAT-Charlie
+mh05SCUZJ-0240825,(TA)n|Simple_repeat
+mh05SCUZJ-0263460,L1PA4|LINE|L1
+mh05SCUZJ-0269128,AluY|SINE|Alu
+mh05SCUZJ-0297424,(GTACGC)n|Simple_repeat
+mh05SCUZJ-0315595,(A)n|Simple_repeat;AluSp|SINE|Alu;(AC)n|Simple_repeat;(AT)n|Simple_repeat
+mh05SCUZJ-0341693,AluY|SINE|Alu;L1MC2|LINE|L1
+mh05SCUZJ-0378712,AluSg|SINE|Alu
+mh05SCUZJ-0403869,MLT1L-int|LTR|ERVL-MaLR
+mh05SCUZJ-0427297.v1,HERVH-int|LTR|ERV1
+mh05SCUZJ-0427297.v2,HERVH-int|LTR|ERV1
+mh05SCUZJ-0468213,L1PA6|LINE|L1
+mh05SCUZJ-0478441,(AT)n|Simple_repeat
+mh05SCUZJ-0482831,(AC)n|Simple_repeat
+mh05SCUZJ-0491123,AluSq|SINE|Alu;A-rich|Low_complexity
+mh05SCUZJ-0509473,L2|LINE
+mh05SCUZJ-0525156.v1,AluY|SINE|Alu;AluJr4|SINE|Alu
+mh05SCUZJ-0525156.v2,AluY|SINE|Alu
+mh05SCUZJ-0529226,(TG)n|Simple_repeat
+mh05SCUZJ-0529358,AluJr|SINE|Alu;AluY|SINE|Alu
+mh05SHY-001,MLT1C|LTR|ERVL-MaLR
+mh05SHY-003,L1M5|LINE|L1
+mh05USC-5pA,MLT1C|LTR|ERVL-MaLR
+mh05USC-5pB,L2c|LINE|L2
+mh05USC-5qC.v1,L2a|LINE|L2
+mh05USC-5qC.v2,L2a|LINE|L2
+mh05WL-003.v3,MIR|SINE
+mh05WL-004,L2a|LINE|L2;AluSx|SINE|Alu
+mh05WL-021,L2a|LINE|L2
+mh05WL-025.v1,(TACATT)n|Simple_repeat
+mh05WL-025.v2,(TACATT)n|Simple_repeat
+mh05WL-026.v2,L2a|LINE|L2
+mh05WL-036,(TC)n|Simple_repeat
+mh05WL-040,G-rich|Low_complexity
+mh05WL-046.v2,MIR|SINE
+mh05WL-051,(CAGA)n|Simple_repeat
+mh05WL-053,A-rich|Low_complexity
+mh05WL-065,(TG)n|Simple_repeat
+mh05WL-076,(ATTAAT)n|Simple_repeat;(GTCAAT)n|Simple_repeat
+mh05ZHA-002,MIRb|SINE|MIR
+mh05ZHA-004,ERV3-16A3_LTR|LTR|ERVL
+mh05ZHA-005,L2a|LINE|L2
+mh06CP-003,L1MEi|LINE|L1
+mh06FHL-002,MLT1L|LTR|ERVL-MaLR
+mh06KK-025,LTR12C|LTR|ERV1
+mh06KK-031,L2b|LINE|L2
+mh06KK-090.v1,LTR71B|LTR|ERV1
+mh06KK-090.v2,LTR71B|LTR|ERV1
+mh06KK-101,L1MC5|LINE|L1
+mh06KK-104,L2a|LINE|L2
+mh06LV-09,HERVK22-int|LTR|ERVK;HERVK22-int|LTR|ERVK
+mh06LW-20,L1MC5|LINE|L1;(TA)n|Simple_repeat;(AG)n|Simple_repeat;AluSz6|SINE|Alu
+mh06LW-21,LTR5A|LTR|ERVK
+mh06LW-22,L1PA6|LINE|L1
+mh06PK-24844,LTR12C|LTR|ERV1
+mh06PK-25713,AluJb|SINE|Alu
+mh06SCUZJ-0000232,AluY|SINE|Alu
+mh06SCUZJ-0001113,MER44C|DNA|TcMar-Tigger
+mh06SCUZJ-0028667,LTR12C|LTR|ERV1
+mh06SCUZJ-0044939,MLT1F2|LTR|ERVL-MaLR
+mh06SCUZJ-0056888.v1,AluYa5|SINE|Alu
+mh06SCUZJ-0056888.v2,AluYa5|SINE|Alu;AluJr4|SINE|Alu
+mh06SCUZJ-0060725,(TGTC)n|Simple_repeat;(TCTA)n|Simple_repeat;(CCTA)n|Simple_repeat;L2b|LINE|L2;(TA)n|Simple_repeat;(GT)n|Simple_repeat
+mh06SCUZJ-0062900,AluY|SINE|Alu;AluY|SINE|Alu
+mh06SCUZJ-0089255,AluY|SINE|Alu;L1PA5|LINE|L1
+mh06SCUZJ-0126880,AluY|SINE|Alu;(TTCT)n|Simple_repeat
+mh06SCUZJ-0167872,LTR43-int|LTR|ERV1;LTR43|LTR|ERV1
+mh06SCUZJ-0445212,MIR3|SINE|MIR
+mh06SCUZJ-0458246,PABL_A-int|LTR|ERV1
+mh06SCUZJ-0480560.v1,ALR/Alpha|Satellite|centr
+mh06SCUZJ-0480560.v2,ALR/Alpha|Satellite|centr
+mh06SCUZJ-0528857,L1M5|LINE|L1;AluY|SINE|Alu
+mh06SCUZJ-0610307,MIRb|SINE|MIR;L1PA16|LINE|L1
+mh06SCUZJ-0616750,AluSc8|SINE|Alu;(ATAA)n|Simple_repeat;ORSL|DNA|hAT-Tip100
+mh06SCUZJ-0638919.v1,AluY|SINE|Alu;L1MA6|LINE|L1
+mh06SCUZJ-0638919.v2,AluY|SINE|Alu;L1MA6|LINE|L1
+mh06SCUZJ-0663860,LTR12C|LTR|ERV1
+mh06SCUZJ-0758459.v1,AluY|SINE|Alu;(AAAC)n|Simple_repeat;MIR|SINE
+mh06SCUZJ-0758459.v2,AluY|SINE|Alu;(AAAC)n|Simple_repeat;MIR|SINE
+mh06SCUZJ-0775073,AluYe5|SINE|Alu
+mh06SCUZJ-0777684,AluJr|SINE|Alu;AluSg|SINE|Alu
+mh06SCUZJ-0794653,A-rich|Low_complexity;AluYm1|SINE|Alu
+mh06SCUZJ-0818553,(TA)n|Simple_repeat
+mh06SCUZJ-0819423,L1PA7|LINE|L1
+mh06SCUZJ-0834226.v1,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh06SCUZJ-0834226.v2,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh06SCUZJ-0845279,AluSx1|SINE|Alu
+mh06SCUZJ-0853086,(CA)n|Simple_repeat;(CA)n|Simple_repeat;(CA)n|Simple_repeat
+mh06SHY-001,MIRb|SINE|MIR
+mh06SHY-002,MIR3|SINE|MIR
+mh06SHY-003,L1ME3B|LINE|L1
+mh06SHY-005.v1,MLT1G1|LTR|ERVL-MaLR
+mh06SHY-005.v2,AluY|SINE|Alu;MLT1G1|LTR|ERVL-MaLR
+mh06USC-6pB,MLT1H|LTR|ERVL-MaLR
+mh06USC-6qB,L1MD2|LINE|L1
+mh06USC-6qC,L1M5|LINE|L1
+mh06WL-005.v1,(TTATATG)n|Simple_repeat
+mh06WL-005.v2,(TTATATG)n|Simple_repeat
+mh06WL-009.v1,(T)n|Simple_repeat;(GTTT)n|Simple_repeat;L2|LINE
+mh06WL-009.v2,(T)n|Simple_repeat;(GTTT)n|Simple_repeat;L2|LINE
+mh06WL-009.v3,(T)n|Simple_repeat;(GTTT)n|Simple_repeat
+mh06WL-022,(CT)n|Simple_repeat
+mh06WL-028.v1,A-rich|Low_complexity;(AT)n|Simple_repeat
+mh06WL-028.v2,(AT)n|Simple_repeat;A-rich|Low_complexity;(AT)n|Simple_repeat
+mh06WL-029.v1,MER91A|DNA|hAT-Tip100
+mh06WL-029.v2,MER91A|DNA|hAT-Tip100
+mh06WL-035,(A)n|Simple_repeat
+mh06WL-039.v1,L2c|LINE|L2
+mh06WL-039.v2,L2c|LINE|L2
+mh06WL-040,L1MEf|LINE|L1;(CA)n|Simple_repeat;(GA)n|Simple_repeat;L1PB4|LINE|L1
+mh06WL-061,L4_A_Mam|LINE|RTE-X
+mh06WL-063.v1,MIR|SINE
+mh06WL-063.v2,MIR|SINE
+mh06WL-064,(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh06WL-082,L1MA7|LINE|L1
+mh07CP-004,SVA_D|Retroposon|SVA
+mh07FHL-001,L1M5|LINE|L1
+mh07FHL-002.v1,L1MB3|LINE|L1
+mh07FHL-002.v2,L1MB3|LINE|L1
+mh07FHL-004,L1M1|LINE|L1
+mh07HYP-19.v2,L1MC1|LINE|L1
+mh07HYP-19.v3,L1MC1|LINE|L1
+mh07HYP-20,MSTA|LTR|ERVL-MaLR
+mh07KK-009.v1,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-009.v2,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-009.v3,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-030,MIRb|SINE|MIR
+mh07LW-23,AluSq2|SINE|Alu
+mh07PK-38311,FLAM_A|SINE|Alu
+mh07SCUZJ-0003371,AluY|SINE|Alu
+mh07SCUZJ-0003928,AluYh3|SINE|Alu
+mh07SCUZJ-0018090,AluY|SINE|Alu
+mh07SCUZJ-0027619,(AAAT)n|Simple_repeat;AluSx|SINE|Alu
+mh07SCUZJ-0039245,LTR5A|LTR|ERVK
+mh07SCUZJ-0040173,AluSx1|SINE|Alu;(CA)n|Simple_repeat;AluJr|SINE|Alu
+mh07SCUZJ-0048768,L2b|LINE|L2
+mh07SCUZJ-0053702,L1MC1|LINE|L1
+mh07SCUZJ-0064598,FLAM_A|SINE|Alu;(AC)n|Simple_repeat
+mh07SCUZJ-0081095,L1MEa|LINE|L1;MLT2B1|LTR|ERVL
+mh07SCUZJ-0091827,AluY|SINE|Alu
+mh07SCUZJ-0093911,AluJb|SINE|Alu;L1M4|LINE|L1
+mh07SCUZJ-0102959.v1,(TA)n|Simple_repeat
+mh07SCUZJ-0102959.v2,(TA)n|Simple_repeat
+mh07SCUZJ-0114457,HERVH-int|LTR|ERV1
+mh07SCUZJ-0114603,MIR3|SINE|MIR
+mh07SCUZJ-0126293,SVA_D|Retroposon|SVA
+mh07SCUZJ-0130504,L2|LINE
+mh07SCUZJ-0141326,(CAGGGA)n|Simple_repeat
+mh07SCUZJ-0153825,L1MC3|LINE|L1
+mh07SCUZJ-0177079,AluJr|SINE|Alu
+mh07SCUZJ-0195258,G-rich|Low_complexity;MLT1A|LTR|ERVL-MaLR
+mh07SCUZJ-0197487,(TA)n|Simple_repeat;(AG)n|Simple_repeat
+mh07SCUZJ-0203471,AluSg|SINE|Alu
+mh07SCUZJ-0232374,L1M4|LINE|L1
+mh07SCUZJ-0246006,(TA)n|Simple_repeat
+mh07SCUZJ-0246634,(TA)n|Simple_repeat;(AC)n|Simple_repeat
+mh07SCUZJ-0269727,L1M1|LINE|L1
+mh07SCUZJ-0279301,AluSx1|SINE|Alu
+mh07SCUZJ-0282207,AluY|SINE|Alu;LTR32|LTR|ERVL
+mh07SCUZJ-0309217,AluJb|SINE|Alu;(TC)n|Simple_repeat;(TATA)n|Simple_repeat;AluSp|SINE|Alu
+mh07SCUZJ-0311471,AluSx|SINE|Alu
+mh07SCUZJ-0325681,AluSc8|SINE|Alu
+mh07SCUZJ-0339304,L1PA4|LINE|L1
+mh07SCUZJ-0350377,(GCGCAC)n|Simple_repeat;(CA)n|Simple_repeat
+mh07SCUZJ-0360945,L1M4|LINE|L1
+mh07SCUZJ-0388024,L1PA2|LINE|L1
+mh07SCUZJ-0395598,AluY|SINE|Alu
+mh07SCUZJ-0400472,AluSc8|SINE|Alu
+mh07SCUZJ-0411309,AluY|SINE|Alu;MIRb|SINE|MIR
+mh07SCUZJ-0428708,(AT)n|Simple_repeat;(AG)n|Simple_repeat;L1MC3|LINE|L1
+mh07SCUZJ-0439025,MER5B|DNA|hAT-Charlie
+mh07SCUZJ-0462646,AluSc8|SINE|Alu;A-rich|Low_complexity
+mh07SCUZJ-0475111,AluSg|SINE|Alu;AluJr|SINE|Alu
+mh07SCUZJ-0507175,LTR49-int|LTR|ERV1
+mh07SCUZJ-0515002,AluYm1|SINE|Alu
+mh07SCUZJ-0526402,HERVE-int|LTR|ERV1
+mh07SCUZJ-0526530,L1MDa|LINE|L1;HERVE_a-int|LTR|ERV1
+mh07SCUZJ-0532868,(ATAT)n|Simple_repeat
+mh07SCUZJ-0536318,MLT1D|LTR|ERVL-MaLR
+mh07SCUZJ-0543221,L1MB7|LINE|L1;L1MC4|LINE|L1
+mh07SHY-001.v1,THE1A|LTR|ERVL-MaLR
+mh07SHY-001.v2,THE1A|LTR|ERVL-MaLR
+mh07SHY-002,MER41A|LTR|ERV1;LTR39|LTR|ERV1
+mh07USC-7pA,L1MEf|LINE|L1
+mh07USC-7qC,MIR|SINE
+mh07WL-006,L2|LINE
+mh07WL-007.v2,(CCCT)n|Simple_repeat
+mh07WL-011.v1,(GAGGAATGGG)n|Simple_repeat
+mh07WL-011.v2,(GAGGAATGGG)n|Simple_repeat
+mh07WL-011.v3,(GAGGAATGGG)n|Simple_repeat
+mh07WL-020.v2,L4_A_Mam|LINE|RTE-X
+mh07WL-020.v3,L4_A_Mam|LINE|RTE-X
+mh07WL-035,L1PA16|LINE|L1;(TTTC)n|Simple_repeat;ERVL-E-int|LTR|ERVL
+mh07WL-036,L2c|LINE|L2
+mh07WL-042,(AAC)n|Simple_repeat
+mh07WL-057,LTR80B|LTR|ERVL
+mh07WL-066,(AC)n|Simple_repeat
+mh07WL-075,A-rich|Low_complexity
+mh07WL-083,MIR|SINE
+mh07WL-085,MLT1I|LTR|ERVL-MaLR
+mh07WL-086,MIRb|SINE|MIR
+mh07WL-087,AluSp|SINE|Alu
+mh07ZBF-001,AluSq2|SINE|Alu;L1MA4A|LINE|L1
+mh07ZHA-003,L2a|LINE|L2
+mh07ZHA-009,L1PA3|LINE|L1
+mh08CP-009,MLT1D|LTR|ERVL-MaLR
+mh08HYP-22,AluJb|SINE|Alu
+mh08HYP-23,MIRb|SINE|MIR
+mh08KK-032,L1ME4b|LINE|L1
+mh08KK-137.v1,HAL1|LINE|L1
+mh08KK-137.v2,HAL1|LINE|L1
+mh08LW-24,LTR12C|LTR|ERV1
+mh08SCUZJ-0001380,LTR2C|LTR|ERV1
+mh08SCUZJ-0027072,AluSc8|SINE|Alu;L1MC|LINE|L1
+mh08SCUZJ-0055163,AluY|SINE|Alu;L1PB1|LINE|L1
+mh08SCUZJ-0082014,MER6|DNA|TcMar-Tigger;AluYf1|SINE|Alu
+mh08SCUZJ-0088755,AluSg4|SINE|Alu
+mh08SCUZJ-0115265,LTR5A|LTR|ERVK
+mh08SCUZJ-0149946,L1MB7|LINE|L1
+mh08SCUZJ-0152604,MER50B|LTR|ERV1
+mh08SCUZJ-0170499,L1PA2|LINE|L1
+mh08SCUZJ-0173990,MER103C|DNA|hAT-Charlie;(AT)n|Simple_repeat
+mh08SCUZJ-0190805,L1M3de|LINE|L1
+mh08SCUZJ-0196286,MER5B|DNA|hAT-Charlie;Arthur1C|DNA|hAT-Tip100
+mh08SCUZJ-0210097,(CA)n|Simple_repeat;MIRb|SINE|MIR
+mh08SCUZJ-0214057,MER21-int|LTR|ERVL
+mh08SCUZJ-0266782,ALR/Alpha|Satellite|centr
+mh08SCUZJ-0266840,ALR/Alpha|Satellite|centr
+mh08SCUZJ-0270227,AluSq|SINE|Alu
+mh08SCUZJ-0288801,AluSx|SINE|Alu;L1PB1|LINE|L1;(TA)n|Simple_repeat;(ATATATAC)n|Simple_repeat;(TA)n|Simple_repeat
+mh08SCUZJ-0302028,L1MC4|LINE|L1;(TTG)n|Simple_repeat;AluY|SINE|Alu
+mh08SCUZJ-0315353,L1PA7|LINE|L1;(ATAC)n|Simple_repeat;L1PA7|LINE|L1
+mh08SCUZJ-0319048,(CA)n|Simple_repeat;(TG)n|Simple_repeat;(TA)n|Simple_repeat
+mh08SCUZJ-0351536,L1PA17|LINE|L1;A-rich|Low_complexity;(GAAGGAAG)n|Simple_repeat;A-rich|Low_complexity
+mh08SCUZJ-0358922,MER4A|LTR|ERV1;AluY|SINE|Alu
+mh08SCUZJ-0386847,AluSq|SINE|Alu
+mh08SCUZJ-0470219,Tigger13a|DNA|TcMar-Tigger
+mh08SCUZJ-0474234,AluY|SINE|Alu
+mh08SCUZJ-0476324,L2a|LINE|L2
+mh08SCUZJ-0484105,AluSx3|SINE|Alu;AluYa5|SINE|Alu
+mh08SCUZJ-0489834,MER5B|DNA|hAT-Charlie
+mh08SCUZJ-0497299,MIRb|SINE|MIR;MLT1B|LTR|ERVL-MaLR
+mh08SCUZJ-0518295,THE1B|LTR|ERVL-MaLR;L1MC3|LINE|L1
+mh08SCUZJ-0530970,L2b|LINE|L2
+mh08SCUZJ-0538280.v1,LTR5A|LTR|ERVK
+mh08SCUZJ-0538280.v2,LTR5A|LTR|ERVK
+mh08SHY-001,L1M4|LINE|L1
+mh08SHY-003,MLT1C|LTR|ERVL-MaLR;MLT1J|LTR|ERVL-MaLR
+mh08SHY-005,L1MB8|LINE|L1
+mh08SHY-006,L1ME4c|LINE|L1;THE1A|LTR|ERVL-MaLR
+mh08SHY-007.v2,AluY|SINE|Alu
+mh08SHY-007.v3,AluY|SINE|Alu
+mh08USC-8qC,MIRc|SINE|MIR;MamRep1527|LTR
+mh08WL-003,L1M5|LINE|L1
+mh08WL-018,L2a|LINE|L2
+mh08WL-031,L3|LINE|CR1
+mh08WL-032.v1,LTR9A1|LTR|ERV1;(AG)n|Simple_repeat
+mh08WL-032.v2,LTR9A1|LTR|ERV1;(AG)n|Simple_repeat;MIRb|SINE|MIR
+mh08WL-033,MIRb|SINE|MIR
+mh08WL-045.v1,MADE2|DNA|TcMar-Mariner
+mh08WL-045.v3,MADE2|DNA|TcMar-Mariner
+mh08WL-047,(TG)n|Simple_repeat;GA-rich|Low_complexity
+mh08WL-053.v2,AluSc8|SINE|Alu
+mh08WL-056.v1,MARNA|DNA|TcMar-Mariner
+mh08WL-056.v2,L1ME3A|LINE|L1;MARNA|DNA|TcMar-Mariner
+mh08WL-057,Tigger1|DNA|TcMar-Tigger
+mh08WL-058.v2,(T)n|Simple_repeat
+mh08WL-063,L2c|LINE|L2
+mh08WL-065,(GT)n|Simple_repeat
+mh08WL-068,(AT)n|Simple_repeat;L1ME4c|LINE|L1
+mh08ZHA-003,HERVL40-int|LTR|ERVL
+mh08ZHA-008,MER5A|DNA|hAT-Charlie
+mh08ZHA-009,HAL1b|LINE|L1
+mh09FHL-002.v3,MIR3|SINE|MIR
+mh09HYP-24,L2a|LINE|L2
+mh09KK-034,(TATTACT)n|Simple_repeat
+mh09LV-02.v1,LTR5A|LTR|ERVK
+mh09LV-02.v2,LTR5A|LTR|ERVK
+mh09LW-25,L1PA13|LINE|L1
+mh09SCUZJ-0032359,GA-rich|Low_complexity;(AAAAG)n|Simple_repeat
+mh09SCUZJ-0035837,L1ME3F|LINE|L1;AluSc5|SINE|Alu;L1ME3F|LINE|L1
+mh09SCUZJ-0042152,(CATC)n|Simple_repeat;L2c|LINE|L2
+mh09SCUZJ-0052579,L1ME4a|LINE|L1;AluSx|SINE|Alu
+mh09SCUZJ-0066821,L1MA3|LINE|L1;L1MC4a|LINE|L1
+mh09SCUZJ-0076471,AluY|SINE|Alu
+mh09SCUZJ-0092358,L2a|LINE|L2;AluSc5|SINE|Alu
+mh09SCUZJ-0104365,MER2|DNA|TcMar-Tigger;FAM|SINE|Alu
+mh09SCUZJ-0161170,L1P2|LINE|L1
+mh09SCUZJ-0166338,MER102a|DNA|hAT-Charlie
+mh09SCUZJ-0172993,MIR|SINE;AluSx4|SINE|Alu
+mh09SCUZJ-0182699,TAR1|Satellite|telo
+mh09SCUZJ-0210996,AluSx|SINE|Alu
+mh09SCUZJ-0251127,HERVE-int|LTR|ERV1
+mh09SCUZJ-0262890,L1M4b|LINE|L1
+mh09SCUZJ-0291476,(AG)n|Simple_repeat;AluSc|SINE|Alu
+mh09SCUZJ-0302180,AluSc|SINE|Alu
+mh09SCUZJ-0311214,MIRb|SINE|MIR;LTR58|LTR|ERV1;L2b|LINE|L2
+mh09SCUZJ-0319309,5S|rRNA
+mh09SCUZJ-0327434,AluSx1|SINE|Alu;(ATAG)n|Simple_repeat
+mh09SCUZJ-0343150,L1PA5|LINE|L1
+mh09SCUZJ-0372874,LTR103b_Mam|LTR|ERV1?;L2b|LINE|L2
+mh09SCUZJ-0382505,AluY|SINE|Alu
+mh09SCUZJ-0387742,L1M6|LINE|L1;AluY|SINE|Alu;L1M6|LINE|L1
+mh09SCUZJ-0401275,AluY|SINE|Alu;AluY|SINE|Alu
+mh09USC-9pA.v2,LTR1B|LTR|ERV1
+mh09USC-9qA,MER58C|DNA|hAT-Charlie
+mh09WL-015.v1,L1ME4c|LINE|L1
+mh09WL-015.v2,L1ME4c|LINE|L1
+mh09WL-029,MIR1_Amn|SINE|MIR;(AT)n|Simple_repeat
+mh09WL-038,MIR3|SINE|MIR
+mh09WL-042,LTR1C|LTR|ERV1
+mh09WL-046,(AATA)n|Simple_repeat;AluSp|SINE|Alu
+mh09ZHA-004,AluSp|SINE|Alu
+mh09ZHA-008,L1PA6|LINE|L1
+mh0XUSC-XpB,MER102c|DNA|hAT-Charlie
+mh0XUSC-XqB,L1PBa|LINE|L1
+mh0XUSC-XqC,LTR25-int|LTR|ERV1
+mh0XUSC-XqH,L1M4|LINE|L1
+mh10FHL-001,AluY|SINE|Alu
+mh10FHL-007,L1MC5|LINE|L1
+mh10KK-083,MIRb|SINE|MIR
+mh10KK-086,MER5B|DNA|hAT-Charlie
+mh10KK-162.v1,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-162.v2,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-162.v3,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-163.v1,(TG)n|Simple_repeat
+mh10KK-163.v3,(TG)n|Simple_repeat
+mh10LV-03.v1,L2a|LINE|L2;AluSz|SINE|Alu
+mh10LV-03.v2,L2a|LINE|L2;AluSz|SINE|Alu
+mh10SCUZJ-0003737,AluY|SINE|Alu
+mh10SCUZJ-0011512,L1ME4b|LINE|L1;L2|LINE
+mh10SCUZJ-0020886,AluY|SINE|Alu
+mh10SCUZJ-0034300,(TG)n|Simple_repeat
+mh10SCUZJ-0041521,Alu|SINE;Alu|SINE;Alu|SINE;Alu|SINE;AluY|SINE|Alu;tRNA-Cys-TGY|tRNA
+mh10SCUZJ-0045763,THE1B|LTR|ERVL-MaLR
+mh10SCUZJ-0047404,AluY|SINE|Alu;AluSc|SINE|Alu
+mh10SCUZJ-0057495.v1,MLT1J|LTR|ERVL-MaLR
+mh10SCUZJ-0057495.v2,MLT1J|LTR|ERVL-MaLR
+mh10SCUZJ-0065487,AluY|SINE|Alu
+mh10SCUZJ-0066625,AluSx1|SINE|Alu;AluYk3|SINE|Alu
+mh10SCUZJ-0082196,THE1A|LTR|ERVL-MaLR;L1M3|LINE|L1
+mh10SCUZJ-0091878,(TATTT)n|Simple_repeat;AluY|SINE|Alu
+mh10SCUZJ-0099293,AluSx|SINE|Alu;L2a|LINE|L2
+mh10SCUZJ-0115848,MLT1B|LTR|ERVL-MaLR;(TTATATA)n|Simple_repeat
+mh10SCUZJ-0122574,AluSg|SINE|Alu;L1MD2|LINE|L1
+mh10SCUZJ-0143911,AluY|SINE|Alu
+mh10SCUZJ-0149820,MIR3|SINE|MIR;MER83|LTR|ERV1
+mh10SCUZJ-0151424,AluSx|SINE|Alu
+mh10SCUZJ-0155992,MER83|LTR|ERV1;MIR3|SINE|MIR
+mh10SCUZJ-0187543,ALR/Alpha|Satellite|centr
+mh10SCUZJ-0204710.v1,MER101-int|LTR|ERV1;AluY|SINE|Alu
+mh10SCUZJ-0204710.v2,MER101-int|LTR|ERV1;AluY|SINE|Alu
+mh10SCUZJ-0206566,MLT2B4|LTR|ERVL;(GT)n|Simple_repeat;MLT2B4|LTR|ERVL
+mh10SCUZJ-0251871,AluSx3|SINE|Alu;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat;AluSx3|SINE|Alu
+mh10SCUZJ-0255190,AluY|SINE|Alu
+mh10SCUZJ-0281402,L1PA3|LINE|L1
+mh10SCUZJ-0290121,MIRb|SINE|MIR;THE1B|LTR|ERVL-MaLR
+mh10SCUZJ-0297129.v1,(AT)n|Simple_repeat;MIRb|SINE|MIR
+mh10SCUZJ-0297129.v2,(AT)n|Simple_repeat;MIRb|SINE|MIR
+mh10SCUZJ-0318800,AluY|SINE|Alu;Tigger1|DNA|TcMar-Tigger;MER4CL34|LTR|ERV1
+mh10SCUZJ-0366546.v1,LTR5A|LTR|ERVK
+mh10SCUZJ-0366546.v2,LTR5A|LTR|ERVK
+mh10SCUZJ-0378284.v1,AluY|SINE|Alu
+mh10SCUZJ-0378284.v2,AluY|SINE|Alu
+mh10SCUZJ-0380360,AluYm1|SINE|Alu;AluSp|SINE|Alu
+mh10SCUZJ-0387827,L1PA2|LINE|L1
+mh10SCUZJ-0417848,HAL1|LINE|L1;HAL1|LINE|L1
+mh10SCUZJ-0424390,(GT)n|Simple_repeat
+mh10SCUZJ-0434622,MER5B|DNA|hAT-Charlie;AluY|SINE|Alu
+mh10SCUZJ-0450180,AluSx1|SINE|Alu;L2c|LINE|L2
+mh10SCUZJ-0458855,L2a|LINE|L2
+mh10SCUZJ-0475575,AluSc|SINE|Alu;THE1A|LTR|ERVL-MaLR;MER4D|LTR|ERV1
+mh10SCUZJ-0491974,(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat
+mh10SHY-001,MER94|DNA|hAT-Blackjack
+mh10SHY-002.v1,MIRb|SINE|MIR;(GCT)n|Simple_repeat
+mh10SHY-002.v2,MIRb|SINE|MIR;(GCT)n|Simple_repeat
+mh10SHY-002.v3,(GCT)n|Simple_repeat;L2b|LINE|L2
+mh10USC-10pA,Tigger17a|DNA|TcMar-Tigger
+mh10USC-10qA,L1MC3|LINE|L1
+mh10USC-10qB,MIR1_Amn|SINE|MIR
+mh10USC-10qC,L1ME2|LINE|L1
+mh10WL-001.v1,L1ME3G|LINE|L1
+mh10WL-001.v2,AluY|SINE|Alu;L1ME3G|LINE|L1
+mh10WL-003,(ACAA)n|Simple_repeat
+mh10WL-004,(TCCC)n|Simple_repeat;(TC)n|Simple_repeat
+mh10WL-009,(AT)n|Simple_repeat
+mh10WL-018.v1,AluJb|SINE|Alu;L2a|LINE|L2
+mh10WL-018.v2,AluJb|SINE|Alu
+mh10WL-033.v1,(CTC)n|Simple_repeat
+mh10WL-033.v2,(CTC)n|Simple_repeat
+mh10WL-034,GA-rich|Low_complexity
+mh10WL-046.v1,MER58A|DNA|hAT-Charlie
+mh10WL-046.v2,MIRb|SINE|MIR;MER58A|DNA|hAT-Charlie
+mh10WL-048,(CACAGC)n|Simple_repeat
+mh10WL-049,A-rich|Low_complexity
+mh10WL-053,G-rich|Low_complexity
+mh10WL-056,MLT1L|LTR|ERVL-MaLR
+mh10WL-058.v2,(GT)n|Simple_repeat
+mh10ZHA-002,MIR|SINE
+mh11CP-003,L1PB4|LINE|L1
+mh11CP-004,MER21C|LTR|ERVL
+mh11FHL-007,AluY|SINE|Alu
+mh11HYP-27,MIRc|SINE|MIR
+mh11KK-036.v1,Tigger17c|DNA|TcMar-Tigger
+mh11KK-036.v2,Tigger17c|DNA|TcMar-Tigger
+mh11KK-090,L2c|LINE|L2
+mh11KK-103,MER74B|LTR|ERVL
+mh11KK-183.v1,L2b|LINE|L2
+mh11KK-183.v2,L2b|LINE|L2
+mh11KK-183.v3,L2b|LINE|L2
+mh11KK-187,Tigger15a|DNA|TcMar-Tigger;LTR67B|LTR|ERVL
+mh11KK-190,ERV3-16A3_I-int|LTR|ERVL;MER70A|LTR|ERVL
+mh11KK-191.v1,Plat_L3|LINE|CR1
+mh11KK-191.v2,Plat_L3|LINE|CR1
+mh11KK-191.v3,Plat_L3|LINE|CR1
+mh11KK-191.v4,Plat_L3|LINE|CR1
+mh11SCUZJ-0001016,AluY|SINE|Alu;LTR76|LTR|ERV1
+mh11SCUZJ-0001330,AluYe6|SINE|Alu;MER41A|LTR|ERV1
+mh11SCUZJ-0028680.v1,HAL1|LINE|L1
+mh11SCUZJ-0028680.v2,HAL1|LINE|L1
+mh11SCUZJ-0044157,MIR|SINE;MER2|DNA|TcMar-Tigger
+mh11SCUZJ-0062178,L1MA9|LINE|L1
+mh11SCUZJ-0077457,(TTCT)n|Simple_repeat
+mh11SCUZJ-0078959,MER41B|LTR|ERV1;AluSc8|SINE|Alu;AluSz|SINE|Alu
+mh11SCUZJ-0102261,MER63A|DNA|hAT-Blackjack;MLT1J|LTR|ERVL-MaLR
+mh11SCUZJ-0148662,MIRb|SINE|MIR
+mh11SCUZJ-0176211,SATR1|Satellite
+mh11SCUZJ-0199321,ALR/Alpha|Satellite|centr
+mh11SCUZJ-0200688,L1PA2|LINE|L1
+mh11SCUZJ-0215793,LTR28C|LTR|ERV1
+mh11SCUZJ-0216329,SVA_F|Retroposon|SVA
+mh11SCUZJ-0227031,AluSz6|SINE|Alu;AluY|SINE|Alu;AluSz6|SINE|Alu
+mh11SCUZJ-0232565,LTR5A|LTR|ERVK
+mh11SCUZJ-0244173,MLT1B|LTR|ERVL-MaLR;AluJb|SINE|Alu
+mh11SCUZJ-0251040,(TATACACG)n|Simple_repeat;(TATA)n|Simple_repeat;AluSp|SINE|Alu
+mh11SCUZJ-0280400,L3|LINE|CR1;L3|LINE|CR1;MADE1|DNA|TcMar-Mariner
+mh11SCUZJ-0290037,(TA)n|Simple_repeat
+mh11SCUZJ-0334147,AluY|SINE|Alu
+mh11SCUZJ-0350528,L2a|LINE|L2;MIRb|SINE|MIR
+mh11SCUZJ-0363448,L2a|LINE|L2;MLT1J2|LTR|ERVL-MaLR;L1MEj|LINE|L1
+mh11SCUZJ-0385048,Plat_L3|LINE|CR1;X7C_LINE|LINE|CR1
+mh11SCUZJ-0395195,MIR1_Amn|SINE|MIR
+mh11SCUZJ-0402779,LTR5A|LTR|ERVK
+mh11SCUZJ-0413561.v1,AluSg|SINE|Alu
+mh11SCUZJ-0413561.v2,AluSg|SINE|Alu
+mh11SCUZJ-0422708,L1MC1|LINE|L1;AluY|SINE|Alu
+mh11SCUZJ-0428324,L3|LINE|CR1
+mh11USC-11pA,Charlie25|DNA|hAT-Charlie
+mh11USC-11qB,MIRb|SINE|MIR
+mh11USC-11qC.v1,L2c|LINE|L2;L3|LINE|CR1
+mh11USC-11qC.v2,L3|LINE|CR1;L2c|LINE|L2;L3|LINE|CR1
+mh11WL-003.v1,(TG)n|Simple_repeat
+mh11WL-003.v2,(TG)n|Simple_repeat
+mh11WL-020,(TATTTT)n|Simple_repeat
+mh11WL-023,L2c|LINE|L2
+mh11WL-027.v2,MER6B|DNA|TcMar-Tigger
+mh11WL-033.v1,L2c|LINE|L2
+mh11WL-033.v2,L2c|LINE|L2;FLAM_C|SINE|Alu;L2c|LINE|L2
+mh11WL-037,AluSc8|SINE|Alu
+mh11WL-038,L1MB7|LINE|L1
+mh11WL-043,(AC)n|Simple_repeat
+mh11WL-044,MIRb|SINE|MIR
+mh11WL-051,(TGGCAC)n|Simple_repeat
+mh11WL-052,(GT)n|Simple_repeat
+mh11WL-053,MIRb|SINE|MIR
+mh11WL-054,MER5A|DNA|hAT-Charlie
+mh11WL-055,G-rich|Low_complexity
+mh11WL-056,L2c|LINE|L2
+mh12CP-008,MER30|DNA|hAT-Charlie
+mh12HYP-31,(AG)n|Simple_repeat
+mh12KK-043,L2b|LINE|L2
+mh12KK-199.v1,MIR1_Amn|SINE|MIR
+mh12KK-199.v2,MIR1_Amn|SINE|MIR
+mh12KK-201.v3,AluSz|SINE|Alu
+mh12KK-202.v1,L2c|LINE|L2
+mh12KK-202.v2,L2c|LINE|L2
+mh12KK-202.v3,L2c|LINE|L2
+mh12KK-209,MIR|SINE
+mh12SCUZJ-0000863,AluY|SINE|Alu
+mh12SCUZJ-0004616,AluSg|SINE|Alu;AluJr|SINE|Alu
+mh12SCUZJ-0013071.v1,MIRb|SINE|MIR
+mh12SCUZJ-0055572,AluJr|SINE|Alu;(AT)n|Simple_repeat;(TA)n|Simple_repeat;AluSx4|SINE|Alu
+mh12SCUZJ-0091823,(TTTA)n|Simple_repeat;AluY|SINE|Alu
+mh12SCUZJ-0109036,AluSx1|SINE|Alu;MLT1B|LTR|ERVL-MaLR
+mh12SCUZJ-0127578,MER92C|LTR|ERV1;G-rich|Low_complexity;AluYj4|SINE|Alu;(TTTAT)n|Simple_repeat;AluYj4|SINE|Alu
+mh12SCUZJ-0169431,AluSx1|SINE|Alu;(ATC)n|Simple_repeat
+mh12SCUZJ-0181516,AluSc8|SINE|Alu
+mh12SCUZJ-0212703,(AAAT)n|Simple_repeat;L1MDa|LINE|L1
+mh12SCUZJ-0223636.v1,THE1B|LTR|ERVL-MaLR;L2c|LINE|L2
+mh12SCUZJ-0223636.v2,THE1B|LTR|ERVL-MaLR;L2c|LINE|L2
+mh12SCUZJ-0223636.v3,THE1B|LTR|ERVL-MaLR
+mh12SCUZJ-0234264,L2a|LINE|L2;(TA)n|Simple_repeat;L2a|LINE|L2;AluJr|SINE|Alu
+mh12SCUZJ-0253825,AluSz|SINE|Alu;(AT)n|Simple_repeat;(TG)n|Simple_repeat;(AT)n|Simple_repeat;(TG)n|Simple_repeat;(AT)n|Simple_repeat
+mh12SCUZJ-0265665.v1,(TATA)n|Simple_repeat
+mh12SCUZJ-0265665.v2,(TATA)n|Simple_repeat
+mh12SCUZJ-0284369,L1MA4A|LINE|L1;(TA)n|Simple_repeat;(TG)n|Simple_repeat;(TA)n|Simple_repeat;L1MA4A|LINE|L1
+mh12SCUZJ-0285704,MER70-int|LTR|ERVL;MER70-int|LTR|ERVL
+mh12SCUZJ-0308915,L1PA16|LINE|L1;(TAAAA)n|Simple_repeat;AluJo|SINE|Alu
+mh12SCUZJ-0311722,L2b|LINE|L2
+mh12SCUZJ-0326486.v1,AluSz|SINE|Alu
+mh12SCUZJ-0326486.v2,AluSz|SINE|Alu;(TCCTC)n|Simple_repeat
+mh12SCUZJ-0331644,(CACACC)n|Simple_repeat
+mh12SCUZJ-0345285,(TTC)n|Simple_repeat;AluJo|SINE|Alu
+mh12SCUZJ-0347622,AluYg6|SINE|Alu;MLT1I|LTR|ERVL-MaLR
+mh12SCUZJ-0363998,SVA_B|Retroposon|SVA
+mh12SCUZJ-0364164,Tigger3c|DNA|TcMar-Tigger;AluY|SINE|Alu
+mh12SCUZJ-0374276,AluY|SINE|Alu;Charlie1a|DNA|hAT-Charlie
+mh12SCUZJ-0382800,MLT1D|LTR|ERVL-MaLR
+mh12SCUZJ-0396248,L1PB4|LINE|L1;AluSx3|SINE|Alu
+mh12SCUZJ-0420557,L2b|LINE|L2
+mh12SCUZJ-0423152,MER47A|DNA|TcMar-Tigger
+mh12SCUZJ-0429356.v1,L1MD2|LINE|L1;(TA)n|Simple_repeat;MIRc|SINE|MIR
+mh12SCUZJ-0429356.v2,(TA)n|Simple_repeat;MIRc|SINE|MIR
+mh12USC-12qB,MIRc|SINE|MIR
+mh12WL-004,(CCCAC)n|Simple_repeat
+mh12WL-005.v2,MIRc|SINE|MIR
+mh12WL-011.v1,L2a|LINE|L2
+mh12WL-018.v2,MIR|SINE
+mh12WL-032,L1ME4b|LINE|L1
+mh12WL-045,(CA)n|Simple_repeat
+mh12WL-053,Charlie19a|DNA|hAT-Charlie
+mh12WL-056,(A)n|Simple_repeat
+mh12WL-059,(GCATG)n|Simple_repeat
+mh12ZHA-008,MER61-int|LTR|ERV1
+mh13CP-008,L1PA4|LINE|L1
+mh13CP-010,AluJr|SINE|Alu
+mh13FHL-002,L2b|LINE|L2
+mh13KK-218.v1,MER21C|LTR|ERVL
+mh13KK-218.v2,AluSq|SINE|Alu;MER21C|LTR|ERVL
+mh13KK-218.v3,MER21C|LTR|ERVL
+mh13KK-218.v4,MER21C|LTR|ERVL
+mh13KK-218.v5,AluSq|SINE|Alu;MER21C|LTR|ERVL
+mh13KK-218.v6,MER21C|LTR|ERVL
+mh13KK-221.v1,THE1B|LTR|ERVL-MaLR
+mh13KK-221.v2,THE1B|LTR|ERVL-MaLR
+mh13KK-222.v1,(ATAATTT)n|Simple_repeat;MER20|DNA|hAT-Charlie
+mh13KK-222.v2,(ATAATTT)n|Simple_repeat;MER20|DNA|hAT-Charlie
+mh13LV-10.v1,AluSg|SINE|Alu
+mh13LV-10.v2,AluSg|SINE|Alu
+mh13LW-33,L1PB1|LINE|L1
+mh13LW-34,MLT1F2|LTR|ERVL-MaLR
+mh13SCUZJ-0013697,L1MB2|LINE|L1
+mh13SCUZJ-0022455,(CA)n|Simple_repeat
+mh13SCUZJ-0036837,L1MA4|LINE|L1;(AT)n|Simple_repeat;AluY|SINE|Alu
+mh13SCUZJ-0039899,MLT1B|LTR|ERVL-MaLR
+mh13SCUZJ-0045733,AluY|SINE|Alu
+mh13SCUZJ-0049124,AluSz6|SINE|Alu;AluSx|SINE|Alu
+mh13SCUZJ-0064820,L1MA8|LINE|L1;AluY|SINE|Alu
+mh13SCUZJ-0098743,AluY|SINE|Alu;Charlie4a|DNA|hAT-Charlie
+mh13SCUZJ-0108086,SVA_F|Retroposon|SVA
+mh13SCUZJ-0115873,AluSz|SINE|Alu
+mh13SCUZJ-0139792,LTR78|LTR|ERV1
+mh13SCUZJ-0192805,L1PB4|LINE|L1;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat
+mh13SCUZJ-0205653,L1M4b|LINE|L1;L1MDa|LINE|L1
+mh13SCUZJ-0227626.v1,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh13SCUZJ-0227626.v2,HERVH-int|LTR|ERV1
+mh13SCUZJ-0230728,AluJb|SINE|Alu
+mh13SCUZJ-0255446.v1,AluSq2|SINE|Alu
+mh13SCUZJ-0255446.v2,AluSq2|SINE|Alu
+mh13SCUZJ-0279353,MER5A|DNA|hAT-Charlie;MER5A|DNA|hAT-Charlie
+mh13SCUZJ-0285465,AluY|SINE|Alu
+mh13SCUZJ-0297911,MLT1C|LTR|ERVL-MaLR
+mh13SCUZJ-0304208,MIRc|SINE|MIR;(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh13SCUZJ-0312967,AluY|SINE|Alu
+mh13SCUZJ-0333799,LTR5A|LTR|ERVK
+mh13SHY-002,Tigger15a|DNA|TcMar-Tigger;(TTGG)n|Simple_repeat
+mh13WL-027,MamTip3|DNA|hAT-Tip100
+mh13WL-033,(AT)n|Simple_repeat
+mh13WL-037.v1,L2|LINE
+mh13WL-037.v2,L2|LINE
+mh13WL-043,(ATTG)n|Simple_repeat
+mh13WL-044,MER52C|LTR|ERV1
+mh13WL-045,UCON100|DNA?
+mh13ZHA-002,THE1D|LTR|ERVL-MaLR
+mh14CP-003,L1MA2|LINE|L1
+mh14CP-004,L1PA7|LINE|L1
+mh14KK-101,L1MEh|LINE|L1
+mh14KK-227.v1,L2c|LINE|L2
+mh14KK-227.v2,L2c|LINE|L2
+mh14KK-227.v3,L2c|LINE|L2;L2c|LINE|L2
+mh14KK-227.v4,L2c|LINE|L2
+mh14LW-36,THE1A|LTR|ERVL-MaLR
+mh14PK-72639,U6|snRNA
+mh14SCUZJ-0004208,LTR5A|LTR|ERVK
+mh14SCUZJ-0022537,AluJo|SINE|Alu;AluJo|SINE|Alu
+mh14SCUZJ-0022925,AluY|SINE|Alu
+mh14SCUZJ-0040957.v1,AluY|SINE|Alu
+mh14SCUZJ-0040957.v2,AluY|SINE|Alu
+mh14SCUZJ-0045150,MIR|SINE
+mh14SCUZJ-0050462,SVA_F|Retroposon|SVA
+mh14SCUZJ-0072608,L1PA17|LINE|L1
+mh14SCUZJ-0080108,L1PA3|LINE|L1
+mh14SCUZJ-0080546,L1PA3|LINE|L1
+mh14SCUZJ-0096560,L1M2|LINE|L1;L1MEh|LINE|L1
+mh14SCUZJ-0105332.v1,AluYk3|SINE|Alu
+mh14SCUZJ-0105332.v2,AluYk3|SINE|Alu
+mh14SCUZJ-0167395,MER5A|DNA|hAT-Charlie;(ATTT)n|Simple_repeat;AluYc|SINE|Alu
+mh14SCUZJ-0172480,MLT1I|LTR|ERVL-MaLR
+mh14SCUZJ-0187337,MLT1A|LTR|ERVL-MaLR;L1MC5|LINE|L1;L1MC5|LINE|L1;(TA)n|Simple_repeat;L1MC5|LINE|L1
+mh14SCUZJ-0215156,MLT1C|LTR|ERVL-MaLR;(TA)n|Simple_repeat;(AC)n|Simple_repeat
+mh14SCUZJ-0229993,MER63B|DNA|hAT-Blackjack;(TTCC)n|Simple_repeat;AluSx1|SINE|Alu
+mh14SCUZJ-0235514,L1M5|LINE|L1;(CG)n|Simple_repeat;(CA)n|Simple_repeat
+mh14SCUZJ-0250160,AluY|SINE|Alu;L1MB3|LINE|L1;L1MA7|LINE|L1
+mh14SCUZJ-0253455,MIRb|SINE|MIR;AluSc8|SINE|Alu
+mh14SCUZJ-0275315,L1MA4A|LINE|L1;LTR71B|LTR|ERV1
+mh14SHY-001,MIRb|SINE|MIR;L1P4|LINE|L1;L1PA16|LINE|L1
+mh14SHY-002.v1,(TAAT)n|Simple_repeat
+mh14USC-14qD,LTR33A_|LTR|ERVL
+mh14WL-003.v2,L2a|LINE|L2
+mh14WL-005.v1,MIR1_Amn|SINE|MIR;MLT1O|LTR|ERVL-MaLR
+mh14WL-005.v2,MLT1O|LTR|ERVL-MaLR;L1MB7|LINE|L1
+mh14WL-012,L1ME3Cz|LINE|L1
+mh14WL-018,(TTAT)n|Simple_repeat;(TTTATTT)n|Simple_repeat
+mh14WL-030.v2,MIR|SINE
+mh14WL-032,MamRTE1|LINE|RTE-BovB
+mh14WL-033,MIRb|SINE|MIR
+mh14WL-036.v2,MIRb|SINE|MIR
+mh14WL-036.v3,MIRb|SINE|MIR
+mh14WL-041,(TCCT)n|Simple_repeat
+mh14ZHA-003,MLT2B1|LTR|ERVL
+mh14ZHA-006,L2|LINE
+mh15CP-001,(AT)n|Simple_repeat;AluJo|SINE|Alu
+mh15CP-003,L1MC4|LINE|L1;L1PA10|LINE|L1
+mh15CP-004,A-rich|Low_complexity
+mh15KK-104,L2c|LINE|L2
+mh15LW-39,MLT1A|LTR|ERVL-MaLR
+mh15PK-75170,LTR12_|LTR|ERV1
+mh15SCUZJ-0008964,MLT1F2|LTR|ERVL-MaLR;L1MD3|LINE|L1;L1ME3B|LINE|L1
+mh15SCUZJ-0023436,MLT1E2|LTR|ERVL-MaLR
+mh15SCUZJ-0026421,L1PA10|LINE|L1
+mh15SCUZJ-0051888,AluJb|SINE|Alu;L1MA2|LINE|L1;LTR2B|LTR|ERV1
+mh15SCUZJ-0082880,L1ME2|LINE|L1
+mh15SCUZJ-0090980,SVA_D|Retroposon|SVA
+mh15SCUZJ-0094561,AluSc8|SINE|Alu;MER41B|LTR|ERV1;AluSc8|SINE|Alu
+mh15SCUZJ-0124652,MIRb|SINE|MIR;L3|LINE|CR1
+mh15SCUZJ-0170974,AluY|SINE|Alu
+mh15SCUZJ-0171138,(GGA)n|Simple_repeat;(CCTGAGCTG)n|Simple_repeat
+mh15SCUZJ-0181927,L1PA3|LINE|L1
+mh15SCUZJ-0193223,AluJo|SINE|Alu
+mh15SCUZJ-0204760.v1,THE1B|LTR|ERVL-MaLR;AluJr4|SINE|Alu
+mh15SCUZJ-0204760.v2,THE1B|LTR|ERVL-MaLR;AluJr4|SINE|Alu
+mh15SCUZJ-0214236,MIRc|SINE|MIR;(T)n|Simple_repeat
+mh15SCUZJ-0216291,LTR5A|LTR|ERVK
+mh15SCUZJ-0230315,L1PA12|LINE|L1;MER20|DNA|hAT-Charlie;AluY|SINE|Alu
+mh15SCUZJ-0231729,L1MEd|LINE|L1;AluY|SINE|Alu
+mh15SCUZJ-0236854,THE1B|LTR|ERVL-MaLR;L1MC5|LINE|L1
+mh15SCUZJ-0244385,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh15SCUZJ-0251770.v1,AluY|SINE|Alu;L1ME3A|LINE|L1
+mh15SCUZJ-0251770.v2,AluY|SINE|Alu;L1ME3A|LINE|L1
+mh15SCUZJ-0255931.v1,AluYa5|SINE|Alu
+mh15SCUZJ-0255931.v2,AluYa5|SINE|Alu
+mh15SCUZJ-0267777,AluY|SINE|Alu
+mh15SHY-001.v1,L2c|LINE|L2
+mh15SHY-001.v3,L2c|LINE|L2
+mh15SHY-004.v1,L2c|LINE|L2
+mh15SHY-004.v2,L2c|LINE|L2
+mh15SHY-004.v3,L2c|LINE|L2;L2c|LINE|L2
+mh15USC-15qA,L2|LINE
+mh15USC-15qB,LTR104_Mam|LTR|Gypsy
+mh15USC-15qC,L1ME4a|LINE|L1
+mh15WL-013,(AC)n|Simple_repeat
+mh15WL-017,L2c|LINE|L2
+mh15WL-022,L2a|LINE|L2
+mh15WL-028,G-rich|Low_complexity
+mh15WL-033,A-rich|Low_complexity
+mh15WL-034,MIRc|SINE|MIR
+mh15WL-038,(ATTC)n|Simple_repeat
+mh15WL-040,MER115|DNA|hAT-Tip100
+mh15WL-041,LTR88b|LTR|Gypsy?
+mh15ZBF-001,L1MC4a|LINE|L1
+mh16KK-049.v1,L1MD2|LINE|L1
+mh16KK-049.v2,L1MD2|LINE|L1
+mh16KK-049.v3,L1MD2|LINE|L1
+mh16KK-049.v4,L1MD2|LINE|L1
+mh16KK-061,L1ME2|LINE|L1
+mh16KK-255.v1,L1ME4b|LINE|L1
+mh16KK-255.v2,L1ME4b|LINE|L1
+mh16KK-255.v3,L1ME4b|LINE|L1
+mh16KK-255.v4,L1ME4b|LINE|L1
+mh16KK-259.v1,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v2,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v3,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v4,AluY|SINE|Alu;L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v5,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v6,L1ME3|LINE|L1;L2b|LINE|L2
+mh16LW-40,AluSx|SINE|Alu;(AAT)n|Simple_repeat;AluSx|SINE|Alu
+mh16LW-41,L1P4|LINE|L1;SVA_D|Retroposon|SVA
+mh16PK-83362,LTR1A1|LTR|ERV1
+mh16SCUZJ-0001338,AluY|SINE|Alu;AluY|SINE|Alu
+mh16SCUZJ-0020639,AluY|SINE|Alu
+mh16SCUZJ-0025649,MIRb|SINE|MIR
+mh16SCUZJ-0054196.v1,HERVH-int|LTR|ERV1
+mh16SCUZJ-0054196.v2,HERVH-int|LTR|ERV1
+mh16SCUZJ-0073152,AluSp|SINE|Alu
+mh16SCUZJ-0076203,MIR|SINE;LTR5A|LTR|ERVK
+mh16SCUZJ-0085132,L1MD3|LINE|L1;MLT1D|LTR|ERVL-MaLR
+mh16SCUZJ-0095877,AluSx|SINE|Alu;(AC)n|Simple_repeat;(AG)n|Simple_repeat
+mh16SCUZJ-0109918,AluJb|SINE|Alu
+mh16SCUZJ-0113007,AluSq2|SINE|Alu;L2b|LINE|L2
+mh16SCUZJ-0162779,MER74A|LTR|ERVL;MIR3|SINE|MIR
+mh16SCUZJ-0168034,L1ME4b|LINE|L1;L1MC4a|LINE|L1
+mh16SCUZJ-0175150,(TA)n|Simple_repeat
+mh16SCUZJ-0177628,L1PA3|LINE|L1
+mh16SCUZJ-0181739,L1PB4|LINE|L1
+mh16SCUZJ-0184423,MER119|DNA|hAT-Charlie
+mh16SCUZJ-0187537,L1MA9|LINE|L1
+mh16SCUZJ-0196761,L1PB1|LINE|L1;(GT)n|Simple_repeat;(TA)n|Simple_repeat;L1PB1|LINE|L1
+mh16SCUZJ-0206613,(TA)n|Simple_repeat;AluSx1|SINE|Alu
+mh16SCUZJ-0227793,AluSg7|SINE|Alu
+mh16SCUZJ-0228342,MER63A|DNA|hAT-Blackjack
+mh16SCUZJ-0243523,MLT1J|LTR|ERVL-MaLR;(T)n|Simple_repeat
+mh16SCUZJ-0250647,MLT1B|LTR|ERVL-MaLR;MIRb|SINE|MIR
+mh16SCUZJ-0260785,AluJo|SINE|Alu;AluSx|SINE|Alu
+mh16SCUZJ-0262867,AluSz|SINE|Alu
+mh16SCUZJ-0289826,Kanga2_a|DNA|TcMar-Tc2
+mh16SCUZJ-0296189,AluY|SINE|Alu;L1MC4|LINE|L1
+mh16SCUZJ-0309391,L2b|LINE|L2
+mh16SCUZJ-0313802,L2b|LINE|L2;THE1A|LTR|ERVL-MaLR;Alu|SINE;(T)n|Simple_repeat
+mh16SCUZJ-0328951.v2,AluJr4|SINE|Alu;AluJo|SINE|Alu
+mh16SHY-001,AluSg4|SINE|Alu
+mh16SHY-002,L2a|LINE|L2
+mh16SHY-003,LTR16C|LTR|ERVL
+mh16USC-16pA,MIRc|SINE|MIR
+mh16WL-003.v1,MIRc|SINE|MIR
+mh16WL-003.v2,MIRc|SINE|MIR
+mh16WL-009.v1,L2|LINE
+mh16WL-009.v2,L2|LINE
+mh16WL-011,L1M5|LINE|L1
+mh16WL-012.v1,MIRb|SINE|MIR
+mh16WL-012.v2,MIRb|SINE|MIR
+mh16WL-013.v1,Arthur1C|DNA|hAT-Tip100
+mh16WL-013.v2,Arthur1C|DNA|hAT-Tip100
+mh16WL-021,MER3|DNA|hAT-Charlie;(TTTCC)n|Simple_repeat
+mh16WL-030,MIRb|SINE|MIR
+mh16WL-032,MIR|SINE
+mh16WL-035,MIRc|SINE|MIR
+mh16WL-039,AluSc|SINE|Alu
+mh16WL-040.v2,L2a|LINE|L2;LTR7B|LTR|ERV1
+mh16WL-040.v3,L2a|LINE|L2
+mh16WL-047,MER53|DNA|hAT;MIRc|SINE|MIR
+mh16WL-048,MER5B|DNA|hAT-Charlie;L2a|LINE|L2
+mh16WL-049,LTR52|LTR|ERVL;L1PA8|LINE|L1
+mh16ZHA-003,MLT1I|LTR|ERVL-MaLR;AluJb|SINE|Alu
+mh16ZHA-004,AluY|SINE|Alu
+mh17CP-005,AluSq|SINE|Alu
+mh17CP-006,L1ME1|LINE|L1
+mh17KK-012.v1,MER5A1|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie
+mh17KK-012.v2,MER5A1|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie
+mh17KK-013.v1,(CA)n|Simple_repeat
+mh17KK-013.v2,(CA)n|Simple_repeat
+mh17KK-077,MER20|DNA|hAT-Charlie
+mh17KK-110,MER5A1|DNA|hAT-Charlie
+mh17KK-278.v1,L1MEh|LINE|L1
+mh17KK-278.v2,L1MEh|LINE|L1
+mh17LW-44,LTR13|LTR|ERVK
+mh17SCUZJ-0003983,L2c|LINE|L2
+mh17SCUZJ-0013421,AluSz|SINE|Alu
+mh17SCUZJ-0017214.v1,AluSg|SINE|Alu;L1ME3Cz|LINE|L1;AluY|SINE|Alu
+mh17SCUZJ-0017214.v2,AluY|SINE|Alu;L1ME3Cz|LINE|L1
+mh17SCUZJ-0025813,AluSc|SINE|Alu;L3|LINE|CR1
+mh17SCUZJ-0044896,AluJo|SINE|Alu;MLT1A0|LTR|ERVL-MaLR
+mh17SCUZJ-0056311,L1M1|LINE|L1
+mh17SCUZJ-0068277,L1MC1|LINE|L1
+mh17SCUZJ-0069199,AluJo|SINE|Alu;A-rich|Low_complexity
+mh17SCUZJ-0090327.v1,ALR/Alpha|Satellite|centr
+mh17SCUZJ-0090327.v2,ALR/Alpha|Satellite|centr
+mh17SCUZJ-0114315,L1MA5A|LINE|L1;AluJb|SINE|Alu
+mh17SCUZJ-0115879,(T)n|Simple_repeat;AluJr|SINE|Alu;AluSx1|SINE|Alu
+mh17SCUZJ-0116654,A-rich|Low_complexity
+mh17SCUZJ-0126774,(TGG)n|Simple_repeat
+mh17SCUZJ-0133238,L1MA5A|LINE|L1;AluSx|SINE|Alu
+mh17SCUZJ-0135202,(TGCA)n|Simple_repeat;(ATAC)n|Simple_repeat
+mh17SCUZJ-0137941.v1,AluSx3|SINE|Alu;HAL1b|LINE|L1
+mh17SCUZJ-0137941.v2,AluSx3|SINE|Alu;HAL1b|LINE|L1
+mh17SCUZJ-0176838,AluY|SINE|Alu
+mh17SCUZJ-0197814,L2c|LINE|L2
+mh17SCUZJ-0199582,Charlie7|DNA|hAT-Charlie;AluY|SINE|Alu
+mh17SCUZJ-0200979,AluY|SINE|Alu
+mh17SCUZJ-0222289,FLAM_C|SINE|Alu;L1MD2|LINE|L1
+mh17SCUZJ-0233057,AluY|SINE|Alu;(AT)n|Simple_repeat;AluJb|SINE|Alu;AluSz|SINE|Alu
+mh17USC-17qA,L2b|LINE|L2
+mh17WL-008.v1,(GCACTA)n|Simple_repeat
+mh17WL-008.v2,(GCACTA)n|Simple_repeat
+mh17WL-008.v3,(GCACTA)n|Simple_repeat
+mh17WL-009.v1,MLT1K|LTR|ERVL-MaLR
+mh17WL-009.v2,MLT1K|LTR|ERVL-MaLR
+mh17WL-015.v2,MIR|SINE
+mh17WL-019,HERVK-int|LTR|ERVK
+mh17WL-027,HAL1b|LINE|L1
+mh17WL-030.v1,MER33|DNA|hAT-Charlie
+mh17WL-030.v2,MER33|DNA|hAT-Charlie
+mh17WL-035,MIRb|SINE|MIR
+mh17WL-038,AluSq|SINE|Alu
+mh17ZHA-001,AluJb|SINE|Alu
+mh18CP-003,L1M5|LINE|L1
+mh18CP-005,L1ME4b|LINE|L1
+mh18FHL-004.v1,AluSg|SINE|Alu;L1M8|LINE|L1
+mh18FHL-004.v2,L1M8|LINE|L1;AluSg|SINE|Alu;L1M8|LINE|L1
+mh18KK-293.v1,UCON1|Unknown
+mh18KK-293.v2,UCON1|Unknown
+mh18LW-45,BSR/Beta|Satellite
+mh18LW-47,L1MA9|LINE|L1;AluSc8|SINE|Alu
+mh18PK-87558,L2a|LINE|L2;L1PA15|LINE|L1
+mh18SCUZJ-0002652,AluSx|SINE|Alu;A-rich|Low_complexity
+mh18SCUZJ-0003488,AluY|SINE|Alu
+mh18SCUZJ-0009510,(TA)n|Simple_repeat
+mh18SCUZJ-0011531,ERV3-16A3_LTR|LTR|ERVL;ERV3-16A3_LTR|LTR|ERVL
+mh18SCUZJ-0015713,AluY|SINE|Alu
+mh18SCUZJ-0020879.v1,L1HS|LINE|L1;L1ME1|LINE|L1
+mh18SCUZJ-0020879.v2,L1HS|LINE|L1;L1ME1|LINE|L1
+mh18SCUZJ-0040982,LTR12C|LTR|ERV1
+mh18SCUZJ-0042322,L1MC4|LINE|L1;AluSc|SINE|Alu;(AAAC)n|Simple_repeat;AluSc|SINE|Alu;L1MC4|LINE|L1
+mh18SCUZJ-0058695,MLT1F2|LTR|ERVL-MaLR;AluY|SINE|Alu
+mh18SCUZJ-0064707.v1,MSTA|LTR|ERVL-MaLR;G-rich|Low_complexity;THE1D-int|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR
+mh18SCUZJ-0064707.v2,G-rich|Low_complexity;THE1D-int|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR;MSTA|LTR|ERVL-MaLR
+mh18SCUZJ-0070441,AluJr|SINE|Alu
+mh18SCUZJ-0076547,L1PA2|LINE|L1
+mh18SCUZJ-0078455,(TA)n|Simple_repeat
+mh18SCUZJ-0086519,(TA)n|Simple_repeat;(AG)n|Simple_repeat
+mh18SCUZJ-0091845.v1,(ATAATAT)n|Simple_repeat
+mh18SCUZJ-0091845.v2,(ATAATAT)n|Simple_repeat
+mh18SCUZJ-0106007,AluSc8|SINE|Alu
+mh18SCUZJ-0117020,L1PA4|LINE|L1
+mh18SCUZJ-0119570,(AG)n|Simple_repeat
+mh18SCUZJ-0133911,AluY|SINE|Alu;MER39B|LTR|ERV1
+mh18SCUZJ-0139814,MIRb|SINE|MIR;(GTTTTT)n|Simple_repeat
+mh18SCUZJ-0147265,L2a|LINE|L2
+mh18SCUZJ-0189739,L1MA9|LINE|L1;(TATC)n|Simple_repeat
+mh18SCUZJ-0194030,AluY|SINE|Alu
+mh18SCUZJ-0198187,(TCCT)n|Simple_repeat
+mh18SCUZJ-0212405,L1M2|LINE|L1;(AT)n|Simple_repeat;(AC)n|Simple_repeat;THE1B|LTR|ERVL-MaLR
+mh18SCUZJ-0220161,THE1B|LTR|ERVL-MaLR
+mh18SCUZJ-0233898,L1MC5a|LINE|L1;A-rich|Low_complexity
+mh18SCUZJ-0236206,Kanga1|DNA|TcMar-Tc2;AluY|SINE|Alu;Kanga1|DNA|TcMar-Tc2
+mh18SCUZJ-0246384,AluY|SINE|Alu;L1P2|LINE|L1;AluY|SINE|Alu
+mh18SCUZJ-0246988,MIR3|SINE|MIR;AluY|SINE|Alu
+mh18SCUZJ-0264631,AluY|SINE|Alu;L1MD|LINE|L1;G-rich|Low_complexity
+mh18SCUZJ-0265416,MIRb|SINE|MIR
+mh18SHY-001,L1MA10|LINE|L1;MER49|LTR|ERV1
+mh18USC-18pA,HAL1|LINE|L1
+mh18USC-18qB,LTR33|LTR|ERVL
+mh18USC-18qC,MLT1A0|LTR|ERVL-MaLR
+mh18WL-002,AluSg4|SINE|Alu
+mh18WL-014,AluJb|SINE|Alu
+mh18WL-020,L2a|LINE|L2
+mh18WL-022.v1,(AG)n|Simple_repeat;(AT)n|Simple_repeat
+mh18WL-022.v2,(AG)n|Simple_repeat;(AT)n|Simple_repeat
+mh18WL-029,(TG)n|Simple_repeat
+mh18WL-031,L2c|LINE|L2
+mh18ZBF-001,AluY|SINE|Alu
+mh18ZBF-002,AluY|SINE|Alu
+mh18ZHA-004,THE1D-int|LTR|ERVL-MaLR
+mh19CP-007,AluSq2|SINE|Alu
+mh19KK-300,Zaphod2|DNA|hAT-Tip100;MER33|DNA|hAT-Charlie
+mh19KK-301,MLT1L|LTR|ERVL-MaLR
+mh19SCUZJ-0001326,MSTB|LTR|ERVL-MaLR;MSTB|LTR|ERVL-MaLR
+mh19SCUZJ-0007484,AluY|SINE|Alu
+mh19SCUZJ-0012120,AluY|SINE|Alu;AluSx|SINE|Alu
+mh19SCUZJ-0018130,AluSc|SINE|Alu;L1MB3|LINE|L1
+mh19SCUZJ-0019425,AluSc|SINE|Alu
+mh19SCUZJ-0022447,AluSg|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SCUZJ-0028962,HERVH-int|LTR|ERV1;AluY|SINE|Alu;HERVH-int|LTR|ERV1
+mh19SCUZJ-0039302,AluY|SINE|Alu;L1ME3G|LINE|L1
+mh19SCUZJ-0056108,(A)n|Simple_repeat;AluY|SINE|Alu
+mh19SCUZJ-0064306,AluY|SINE|Alu;(TA)n|Simple_repeat
+mh19SCUZJ-0081305,AluSx3|SINE|Alu;(TAAT)n|Simple_repeat;AluJr4|SINE|Alu
+mh19SCUZJ-0091391,AluSx4|SINE|Alu
+mh19SCUZJ-0119796,L1PA17|LINE|L1
+mh19SCUZJ-0121709,L1PA17|LINE|L1
+mh19SCUZJ-0137855,L1PA4|LINE|L1
+mh19SCUZJ-0146076,MER21C|LTR|ERVL
+mh19SCUZJ-0146592,MLT1B|LTR|ERVL-MaLR;(GTTT)n|Simple_repeat;AluY|SINE|Alu
+mh19SCUZJ-0164190,MIRb|SINE|MIR
+mh19SCUZJ-0195134,AluSx|SINE|Alu
+mh19SCUZJ-0212784,L2|LINE;(A)n|Simple_repeat
+mh19SCUZJ-0215538,AluY|SINE|Alu;AluSc8|SINE|Alu
+mh19SCUZJ-0227114,AluSg4|SINE|Alu;AluSx1|SINE|Alu
+mh19SCUZJ-0238255,(CACACT)n|Simple_repeat
+mh19SCUZJ-0249059.v1,MER20|DNA|hAT-Charlie;AluY|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SCUZJ-0249059.v2,AluY|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SHY-002,AluJo|SINE|Alu;L1ME3B|LINE|L1
+mh19USC-19pA,HERVIP10B3-int|LTR|ERV1
+mh19USC-19pB,L1MA8|LINE|L1
+mh19WL-024,G-rich|Low_complexity
+mh19WL-028,AluSz|SINE|Alu;(TAA)n|Simple_repeat;L1MC5|LINE|L1
+mh19ZHA-006,AluSx3|SINE|Alu
+mh19ZHA-009,L2|LINE
+mh20HYP-42,L1ME3Cz|LINE|L1
+mh20KK-035,L1ME4b|LINE|L1
+mh20KK-058.v1,MIR|SINE;MIRb|SINE|MIR
+mh20KK-058.v2,MIR|SINE;MIRb|SINE|MIR
+mh20KK-058.v3,MIR|SINE;MIRb|SINE|MIR
+mh20KK-059,(GGCAGAG)n|Simple_repeat
+mh20KK-306.v1,L2b|LINE|L2;L2a|LINE|L2
+mh20KK-306.v2,L2b|LINE|L2;L2a|LINE|L2
+mh20KK-307.v1,L5|LINE|RTE-X
+mh20KK-307.v2,L5|LINE|RTE-X
+mh20KK-307.v3,L5|LINE|RTE-X
+mh20LV-04.v1,LTR105_Mam|LTR|ERVL;AluSc|SINE|Alu;LTR105_Mam|LTR|ERVL
+mh20LV-04.v2,LTR105_Mam|LTR|ERVL;AluSc|SINE|Alu;LTR105_Mam|LTR|ERVL
+mh20LW-49,MSTB|LTR|ERVL-MaLR
+mh20SCUZJ-0000019,AluY|SINE|Alu
+mh20SCUZJ-0014987,AluY|SINE|Alu;L1MB7|LINE|L1
+mh20SCUZJ-0017470,AluJo|SINE|Alu
+mh20SCUZJ-0026528,L1MC4|LINE|L1
+mh20SCUZJ-0039966,MSTA|LTR|ERVL-MaLR;LTR16C|LTR|ERVL
+mh20SCUZJ-0056321,FRAM|SINE|Alu;AluY|SINE|Alu
+mh20SCUZJ-0059407,(TCACCC)n|Simple_repeat
+mh20SCUZJ-0118237,HERVH-int|LTR|ERV1
+mh20SCUZJ-0128552,L2a|LINE|L2
+mh20SCUZJ-0130299,L2b|LINE|L2;LTR33|LTR|ERVL
+mh20SCUZJ-0148996,AluY|SINE|Alu
+mh20SCUZJ-0159322,(TTTC)n|Simple_repeat;AluSx3|SINE|Alu
+mh20SCUZJ-0162160,G-rich|Low_complexity;G-rich|Low_complexity;MamGypLTR1b|LTR|Gypsy
+mh20SCUZJ-0175951,AluSz|SINE|Alu
+mh20SCUZJ-0176544,AluSg7|SINE|Alu;AluY|SINE|Alu
+mh20SCUZJ-0185153.v1,AluSc|SINE|Alu;HAL1M8|LINE|L1
+mh20SCUZJ-0185153.v2,AluSc|SINE|Alu;HAL1M8|LINE|L1
+mh20SHY-001,L1MEc|LINE|L1
+mh20SHY-002,AluSc|SINE|Alu;MLT1F1|LTR|ERVL-MaLR
+mh20USC-20pB,L2c|LINE|L2
+mh20USC-20qA,Tigger9b|DNA|TcMar-Tigger
+mh20WL-014,(CA)n|Simple_repeat
+mh20WL-018,MIRb|SINE|MIR
+mh20WL-022.v2,MIR|SINE
+mh20ZBF-001,MER63C|DNA|hAT-Blackjack
+mh21KK-313.v1,MLT1C|LTR|ERVL-MaLR
+mh21KK-313.v2,MLT1C|LTR|ERVL-MaLR
+mh21KK-313.v3,MLT1C|LTR|ERVL-MaLR
+mh21KK-315.v1,L1PA15-16|LINE|L1
+mh21KK-315.v2,L1PA15-16|LINE|L1
+mh21KK-315.v3,L1PA15-16|LINE|L1
+mh21KK-315.v4,L1PA15-16|LINE|L1
+mh21KK-315.v5,L1PA15-16|LINE|L1
+mh21KK-315.v6,L1PA15-16|LINE|L1
+mh21KK-316.v1,MamTip2|DNA|hAT-Tip100
+mh21KK-316.v2,MamTip2|DNA|hAT-Tip100
+mh21KK-316.v3,MamTip2|DNA|hAT-Tip100
+mh21KK-320.v1,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v2,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v3,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v5,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21LW-50,ACRO1|Satellite|acro
+mh21SCUZJ-0002749,LTR6A|LTR|ERV1;MSTA|LTR|ERVL-MaLR;MSTA-int|LTR|ERVL-MaLR
+mh21SCUZJ-0003240,MSTA|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR
+mh21SCUZJ-0016493,HERVH-int|LTR|ERV1
+mh21SCUZJ-0027129,MIR|SINE;AluSc8|SINE|Alu
+mh21SCUZJ-0037017,MLT1D|LTR|ERVL-MaLR;L1MC3|LINE|L1
+mh21SCUZJ-0041429,L1ME3A|LINE|L1;L1MA4|LINE|L1
+mh21SCUZJ-0059376,LTR1D|LTR|ERV1;MER4D1|LTR|ERV1
+mh21SCUZJ-0071539,L1PB1|LINE|L1
+mh21SCUZJ-0080338,AluJb|SINE|Alu;(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh21SCUZJ-0093008.v1,AluY|SINE|Alu
+mh21SCUZJ-0093008.v2,AluY|SINE|Alu
+mh21SCUZJ-0100459.v1,L1PB1|LINE|L1
+mh21SCUZJ-0108570,MLT1C|LTR|ERVL-MaLR
+mh21SCUZJ-0117636,MIR|SINE;THE1C|LTR|ERVL-MaLR
+mh21SCUZJ-0125683,L1PB1|LINE|L1;L1ME1|LINE|L1
+mh21SCUZJ-0128230,AluY|SINE|Alu
+mh21SCUZJ-0132919,AluSq|SINE|Alu
+mh21USC-21qB,L1PA13|LINE|L1
+mh21WL-019,MSTD|LTR|ERVL-MaLR
+mh22PK-104638,MIRc|SINE|MIR
+mh22SCUZJ-0000304,(ATCGAATGGA)n|Simple_repeat;(GGAAT)n|Simple_repeat;(ATCGAATGGA)n|Simple_repeat;(GGAAT)n|Simple_repeat
+mh22SCUZJ-0002299,AluJr|SINE|Alu
+mh22SCUZJ-0012907,AluSc|SINE|Alu;L1M2|LINE|L1;L1M4|LINE|L1
+mh22SCUZJ-0021077.v1,AluY|SINE|Alu;L1MEd|LINE|L1
+mh22SCUZJ-0021077.v2,AluY|SINE|Alu;L1MEd|LINE|L1
+mh22SCUZJ-0033378,ERVL-E-int|LTR|ERVL
+mh22SCUZJ-0043764,AluYk4|SINE|Alu;L1MB2|LINE|L1
+mh22SCUZJ-0056582,(CTCT)n|Simple_repeat
+mh22SCUZJ-0107341,MLT1I|LTR|ERVL-MaLR;MIR|SINE;AluY|SINE|Alu
+mh22SCUZJ-0135192,L1MCb|LINE|L1;AluY|SINE|Alu
+mh22SCUZJ-0146198,AluY|SINE|Alu;LTR87|LTR|ERVL?
+mh22USC-22qB.v1,L1ME3A|LINE|L1
+mh22USC-22qB.v2,L1ME3A|LINE|L1
+mh22USC-22qB.v3,L1ME3A|LINE|L1
+mh22WL-006.v2,MLT1K|LTR|ERVL-MaLR
+mh22WL-006.v3,MLT1K|LTR|ERVL-MaLR
+mh22WL-007.v1,(CA)n|Simple_repeat
+mh22WL-007.v2,(CA)n|Simple_repeat
+mh22WL-015,LTR8|LTR|ERV1;LTR8|LTR|ERV1;LTR8|LTR|ERV1
+mh22ZHA-003,AluY|SINE|Alu
diff --git a/dbbuild/repeats.py b/dbbuild/repeats.py
new file mode 100755
index 00000000..de94528c
--- /dev/null
+++ b/dbbuild/repeats.py
@@ -0,0 +1,134 @@
+#!/usr/bin/env python
+# -------------------------------------------------------------------------------------------------
+# Copyright (c) 2023, DHS.
+#
+# This file is part of MicroHapDB (http://github.com/bioforensics/MicroHapDB) and is licensed under
+# the BSD license: see LICENSE.txt.
+#
+# This software was prepared for the Department of Homeland Security (DHS) by the Battelle National
+# Biodefense Institute, LLC (BNBI) as part of contract HSHQDC-15-C-00064 to manage and operate the
+# National Biodefense Analysis and Countermeasures Center (NBACC), a Federally Funded Research and
+# Development Center.
+# -------------------------------------------------------------------------------------------------
+
+from argparse import ArgumentParser
+from collections import defaultdict
+import microhapdb
+from multiprocessing import Pool
+from os import cpu_count
+import pandas as pd
+import sys
+
+
+def main(rmsk_path, marker_path, cpus=0, delta=25):
+    repeats = parse_ucsc_rmsk_track(rmsk_path)
+    marker_table = pd.read_csv(marker_path)
+    markers = markers_by_chrom(table=marker_table)
+    if cpus < 1:
+        cpus = cpu_count()
+    data = list(bind_data(repeats, markers, delta=delta))
+    with Pool(cpus) as p:
+        flagged = p.map(flag_markers, data)
+    outdata = list()
+    for flagged_markers in flagged:
+        outdata.extend(sorted(flagged_markers))
+    outframe = pd.DataFrame(outdata, columns=["Marker", "Repeat"])
+    outframe = outframe.sort_values(["Marker"])
+    return outframe
+
+
+def parse_ucsc_rmsk_track(path):
+    header = [
+        "bin",
+        "swScore",
+        "milliDiv",
+        "milliDel",
+        "milliIns",
+        "genoName",
+        "genoStart",
+        "genoEnd",
+        "genoLeft",
+        "strand",
+        "repName",
+        "repClass",
+        "repFamily",
+        "repStart",
+        "repEnd",
+        "repLeft",
+        "id",
+    ]
+    table = pd.read_csv(path, sep="\t", names=header)
+    return table.groupby("genoName")
+
+
+def markers_by_chrom(table=None):
+    if table is None:
+        table = microhapdb.markers
+    markers = microhapdb.Marker.objectify(table)
+    marker_map = defaultdict(list)
+    for marker in markers:
+        marker_map[marker.chrom].append(marker)
+    return marker_map
+
+
+def bind_data(repeats, markers, delta=0):
+    for chrom, repeat_list in repeats:
+        if chrom not in markers:
+            continue
+        marker_list = markers[chrom]
+        yield repeat_list, marker_list, delta
+
+
+def flag_markers(pdata):
+    repeats, markers, delta = pdata
+    flagged = list()
+    for marker in markers:
+        start = marker.start - delta
+        end = marker.end + delta
+        overlap = repeats[(repeats.genoEnd > start) & (repeats.genoStart < end)]
+        if len(overlap) > 0:
+            marker_repeats = list()
+            for i, repeat in overlap.iterrows():
+                annot = f"{repeat.repName}|{repeat.repClass}"
+                if repeat.repFamily != repeat.repClass and repeat.repFamily != repeat.repName:
+                    annot += f"|{repeat.repFamily}"
+                marker_repeats.append(annot)
+            annots = ";".join(marker_repeats)
+            flagged.append((marker.name, annots))
+    return flagged
+
+
+def get_parser():
+    parser = ArgumentParser()
+    parser.add_argument("rmsk", help="RepeatMasker track from UCSC genome browser (rmsk.txt.gz)")
+    parser.add_argument("markers", help="table of markers")
+    parser.add_argument(
+        "-o",
+        "--out",
+        metavar="FILE",
+        default=sys.stdout,
+        help="write output to FILE; by default output is printed to terminal (standard output)",
+    )
+    parser.add_argument(
+        "-c",
+        "--cpus",
+        type=int,
+        default=0,
+        metavar="C",
+        help="CPUs to use for multiprocessing; by default all available CPUs are used",
+    )
+    parser.add_argument(
+        "-d",
+        "--delta",
+        type=int,
+        default=25,
+        metavar="D",
+        help="extend D bp beyond the first and last SNPs of the marker when testing for overlap with repeats; by default D=25",
+    )
+    return parser
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args()
+    table = main(args.rmsk, args.markers, cpus=args.cpus)
+    table.to_csv(args.out, index=False)
diff --git a/microhapdb/__init__.py b/microhapdb/__init__.py
index d8f3ab53..ae6d3d56 100644
--- a/microhapdb/__init__.py
+++ b/microhapdb/__init__.py
@@ -11,7 +11,7 @@
 # -------------------------------------------------------------------------------------------------
 
 from . import nomenclature
-from .tables import markers, merged, populations, frequencies, indels, variantmap, hg38
+from .tables import markers, merged, populations, frequencies, repeats, indels, variantmap, hg38
 from .population import Population
 from .marker import Marker, Locus
 from microhapdb import cli
diff --git a/microhapdb/data/repeats.csv b/microhapdb/data/repeats.csv
new file mode 100644
index 00000000..2996048f
--- /dev/null
+++ b/microhapdb/data/repeats.csv
@@ -0,0 +1,1381 @@
+Marker,Repeat
+mh01CP-007,MIRc|SINE|MIR
+mh01CP-008,AluY|SINE|Alu
+mh01CP-016,MIRb|SINE|MIR
+mh01HYP-02,AluJr|SINE|Alu
+mh01KK-106,MIRb|SINE|MIR
+mh01KK-210,MIRb|SINE|MIR
+mh01KK-211.v4,(GGAAGTG)n|Simple_repeat
+mh01KK-213.v1,LTR36|LTR|ERV1
+mh01KK-213.v2,LTR36|LTR|ERV1
+mh01KK-213.v3,LTR36|LTR|ERV1
+mh01LW-3,AluJo|SINE|Alu;MIRc|SINE|MIR
+mh01NH-02,L1ME5|LINE|L1
+mh01SCUZJ-0000740,AluY|SINE|Alu
+mh01SCUZJ-0016447,MER41D|LTR|ERV1;L1MC1|LINE|L1;THE1B|LTR|ERVL-MaLR
+mh01SCUZJ-0041531,AluY|SINE|Alu;(AAAT)n|Simple_repeat;AluY|SINE|Alu
+mh01SCUZJ-0062205,L1MC4a|LINE|L1;AluSz|SINE|Alu;L1MC4a|LINE|L1
+mh01SCUZJ-0076454,MIRb|SINE|MIR
+mh01SCUZJ-0081962,AluY|SINE|Alu;AluSx1|SINE|Alu
+mh01SCUZJ-0082140,(CTGCCCCT)n|Simple_repeat;L2|LINE
+mh01SCUZJ-0098514,L3|LINE|CR1;L2a|LINE|L2
+mh01SCUZJ-0109665.v1,MIR3|SINE|MIR
+mh01SCUZJ-0109665.v2,MIR3|SINE|MIR
+mh01SCUZJ-0156524,L2c|LINE|L2;MIR|SINE;L2c|LINE|L2
+mh01SCUZJ-0165190,LTR5A|LTR|ERVK
+mh01SCUZJ-0212470,HERVH-int|LTR|ERV1
+mh01SCUZJ-0237331,LTR12C|LTR|ERV1
+mh01SCUZJ-0258509,AluSc8|SINE|Alu
+mh01SCUZJ-0260152,AluSz|SINE|Alu;AluJb|SINE|Alu
+mh01SCUZJ-0270838,MER77|LTR|ERVL;L1PA3|LINE|L1
+mh01SCUZJ-0275072,(ATATACAC)n|Simple_repeat;(TATATG)n|Simple_repeat
+mh01SCUZJ-0285696,OldhAT1|DNA|hAT-Ac;MLT1K|LTR|ERVL-MaLR
+mh01SCUZJ-0291678,L2b|LINE|L2;L2a|LINE|L2
+mh01SCUZJ-0293896,MIRc|SINE|MIR
+mh01SCUZJ-0312202,AluY|SINE|Alu
+mh01SCUZJ-0338874,AluSz|SINE|Alu;(TAA)n|Simple_repeat;(AAG)n|Simple_repeat
+mh01SCUZJ-0357248,ALR/Alpha|Satellite|centr
+mh01SCUZJ-0357485,ALR/Alpha|Satellite|centr
+mh01SCUZJ-0379058,AluSp|SINE|Alu;L2c|LINE|L2
+mh01SCUZJ-0396461,MER57F|LTR|ERV1
+mh01SCUZJ-0398141,MIRc|SINE|MIR;MER94|DNA|hAT-Blackjack;AluJr|SINE|Alu
+mh01SCUZJ-0404628,MIR|SINE
+mh01SCUZJ-0458139,HERVH-int|LTR|ERV1
+mh01SCUZJ-0481939,(TTCC)n|Simple_repeat
+mh01SCUZJ-0483367,(AT)n|Simple_repeat;(GT)n|Simple_repeat;L1MC4a|LINE|L1
+mh01SCUZJ-0506502,(GGAGCC)n|Simple_repeat
+mh01SCUZJ-0508420,(TA)n|Simple_repeat;(TA)n|Simple_repeat
+mh01SCUZJ-0533772,UCON132b|DNA|hAT-Tip100
+mh01SCUZJ-0568347,L2a|LINE|L2
+mh01SCUZJ-0577309,(TTTA)n|Simple_repeat;MER66B|LTR|ERV1;LTR85c|LTR|Gypsy?;AluJr|SINE|Alu
+mh01SCUZJ-0582920,L1PA4|LINE|L1
+mh01SCUZJ-0583641,(ACATAT)n|Simple_repeat
+mh01SCUZJ-0589288,L1ME4a|LINE|L1
+mh01SCUZJ-0598913,MER104|DNA|TcMar-Tc2
+mh01SCUZJ-0604411,AluJo|SINE|Alu;(TG)n|Simple_repeat;AluJo|SINE|Alu
+mh01SCUZJ-0617755,AluSc8|SINE|Alu;L2a|LINE|L2;(CT)n|Simple_repeat;L2a|LINE|L2
+mh01SCUZJ-0633517,AluSc|SINE|Alu;MER21B|LTR|ERVL
+mh01SCUZJ-0638849,AluY|SINE|Alu
+mh01SCUZJ-0662222,AluY|SINE|Alu;FLAM_C|SINE|Alu
+mh01SCUZJ-0667867,AluY|SINE|Alu
+mh01SCUZJ-0675568,AluY|SINE|Alu;Tigger1|DNA|TcMar-Tigger
+mh01SHY-001,L2a|LINE|L2
+mh01USC-1pC,MLT1E1|LTR|ERVL-MaLR
+mh01USC-1qB,MIRb|SINE|MIR
+mh01USC-1qC.v1,L1MC2|LINE|L1
+mh01USC-1qC.v2,AluJb|SINE|Alu;L1MC2|LINE|L1
+mh01WL-047.v1,MLT1O|LTR|ERVL-MaLR
+mh01WL-047.v2,MLT1O|LTR|ERVL-MaLR
+mh01WL-074,(CTGCCC)n|Simple_repeat
+mh01WL-078,L1ME3|LINE|L1
+mh01WL-080,MIRb|SINE|MIR
+mh01WL-081,(GCAAGT)n|Simple_repeat
+mh01WL-083,(CTTT)n|Simple_repeat
+mh01WL-086,MIRb|SINE|MIR
+mh01WL-088.v2,L1ME3G|LINE|L1
+mh01WL-095,L2b|LINE|L2
+mh01WL-097.v2,(CTTACACATG)n|Simple_repeat
+mh01WL-098,(GTTT)n|Simple_repeat
+mh01WL-107,MIRb|SINE|MIR
+mh01WL-114,MIRb|SINE|MIR
+mh01WL-116,(CTGCT)n|Simple_repeat
+mh01ZBF-001,AluY|SINE|Alu;L3|LINE|CR1
+mh01ZHA-009,MIRb|SINE|MIR
+mh02KK-004.v1,MIRb|SINE|MIR
+mh02KK-004.v2,MIRb|SINE|MIR
+mh02KK-013.v1,L2a|LINE|L2
+mh02KK-013.v2,L2a|LINE|L2
+mh02KK-014.v1,L2a|LINE|L2
+mh02KK-014.v2,L2a|LINE|L2
+mh02KK-014.v3,L2a|LINE|L2
+mh02KK-014.v4,L2a|LINE|L2
+mh02KK-014.v5,L2a|LINE|L2
+mh02KK-029.v1,L2b|LINE|L2
+mh02KK-029.v2,L2b|LINE|L2
+mh02KK-029.v4,L2b|LINE|L2
+mh02KK-029.v5,L2b|LINE|L2
+mh02KK-031.v1,AluY|SINE|Alu
+mh02KK-031.v2,AluY|SINE|Alu
+mh02KK-102,MER5B|DNA|hAT-Charlie
+mh02KK-136.v1,MIR|SINE
+mh02KK-136.v2,MIR|SINE
+mh02KK-136.v3,MIR|SINE
+mh02KK-202,L2a|LINE|L2
+mh02LV-05.v1,THE1B|LTR|ERVL-MaLR
+mh02LV-05.v2,THE1B|LTR|ERVL-MaLR
+mh02LV-08.v1,AluSc5|SINE|Alu
+mh02LV-08.v2,AluSc5|SINE|Alu
+mh02LW-6,FRAM|SINE|Alu
+mh02LW-7,MLT2B4|LTR|ERVL;(TC)n|Simple_repeat;(TA)n|Simple_repeat;Ricksha_c|DNA|MULE-MuDR
+mh02LW-9,AluSx1|SINE|Alu
+mh02NH-05,MamGypLTR1a|LTR|Gypsy
+mh02SCUZJ-0004047.v1,L1M5|LINE|L1
+mh02SCUZJ-0013841,MIRc|SINE|MIR
+mh02SCUZJ-0025110,AluSx|SINE|Alu
+mh02SCUZJ-0030534,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh02SCUZJ-0032084,(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh02SCUZJ-0038503,(CG)n|Simple_repeat;(CA)n|Simple_repeat;(AG)n|Simple_repeat;L1ME4a|LINE|L1;MIRc|SINE|MIR
+mh02SCUZJ-0043006,(TA)n|Simple_repeat
+mh02SCUZJ-0044444,(TA)n|Simple_repeat;(GTATAC)n|Simple_repeat;(TA)n|Simple_repeat;L1ME3Cz|LINE|L1;AluSx1|SINE|Alu
+mh02SCUZJ-0061890,LTR78|LTR|ERV1;MIRb|SINE|MIR
+mh02SCUZJ-0067070,(GT)n|Simple_repeat
+mh02SCUZJ-0082461,LTR5A|LTR|ERVK
+mh02SCUZJ-0105665,L1ME3D|LINE|L1;MamRep38|DNA|hAT
+mh02SCUZJ-0127632,LTR89|LTR|ERVL?
+mh02SCUZJ-0148472,(GA)n|Simple_repeat
+mh02SCUZJ-0157891,L1PA2|LINE|L1
+mh02SCUZJ-0160617,L1MB3|LINE|L1
+mh02SCUZJ-0190002.v1,AluY|SINE|Alu
+mh02SCUZJ-0190002.v2,AluY|SINE|Alu
+mh02SCUZJ-0202886,GA-rich|Low_complexity;(AGAA)n|Simple_repeat;GA-rich|Low_complexity
+mh02SCUZJ-0224273.v1,(GGAAA)n|Simple_repeat;G-rich|Low_complexity
+mh02SCUZJ-0224273.v2,(GGAAA)n|Simple_repeat;G-rich|Low_complexity
+mh02SCUZJ-0232405,AluSx|SINE|Alu;AluJb|SINE|Alu;(AAAC)n|Simple_repeat;AluJb|SINE|Alu
+mh02SCUZJ-0244318.v1,AluSx3|SINE|Alu
+mh02SCUZJ-0244318.v2,AluSx3|SINE|Alu;(AAAAC)n|Simple_repeat;L2b|LINE|L2
+mh02SCUZJ-0250065,L1PA2|LINE|L1
+mh02SCUZJ-0253084,HERVH-int|LTR|ERV1
+mh02SCUZJ-0268507,AluY|SINE|Alu;(AAAT)n|Simple_repeat
+mh02SCUZJ-0308581.v1,AluY|SINE|Alu;(CTTT)n|Simple_repeat
+mh02SCUZJ-0308581.v2,AluY|SINE|Alu;(CTTT)n|Simple_repeat
+mh02SCUZJ-0317355,X7B_LINE|LINE|CR1;MamRep38|DNA|hAT
+mh02SCUZJ-0332125,MER34|LTR|ERV1;AluJr|SINE|Alu
+mh02SCUZJ-0360106,L2a|LINE|L2;(CT)n|Simple_repeat
+mh02SCUZJ-0378972,L1MA9|LINE|L1
+mh02SCUZJ-0390961.v1,LTR84a|LTR|ERVL;AluY|SINE|Alu
+mh02SCUZJ-0390961.v2,AluY|SINE|Alu
+mh02SCUZJ-0400681,(AT)n|Simple_repeat
+mh02SCUZJ-0409633,(TG)n|Simple_repeat
+mh02SCUZJ-0413888,(ATATAT)n|Simple_repeat
+mh02SCUZJ-0419421,AluY|SINE|Alu;GA-rich|Low_complexity
+mh02SCUZJ-0429492,(AACTA)n|Simple_repeat;(TC)n|Simple_repeat
+mh02SCUZJ-0461323,AluSc|SINE|Alu;AluY|SINE|Alu
+mh02SCUZJ-0477460,(GAGG)n|Simple_repeat;(GA)n|Simple_repeat
+mh02SCUZJ-0485101,AluJr|SINE|Alu
+mh02SCUZJ-0497317,HERVH-int|LTR|ERV1
+mh02SCUZJ-0510209,AluSx1|SINE|Alu;(ATCT)n|Simple_repeat;(AT)n|Simple_repeat;AluSc|SINE|Alu
+mh02SCUZJ-0606389,(TTTC)n|Simple_repeat
+mh02SCUZJ-0611908,LTR32|LTR|ERVL
+mh02SCUZJ-0626428,Tigger3b|DNA|TcMar-Tigger;(TG)n|Simple_repeat;Tigger3b|DNA|TcMar-Tigger
+mh02SCUZJ-0634240,AluSx1|SINE|Alu;L2b|LINE|L2
+mh02SCUZJ-0637033,LTR106_Mam|LTR;AluSx1|SINE|Alu
+mh02SCUZJ-0642566,MER2|DNA|TcMar-Tigger;AluJr|SINE|Alu;MER2|DNA|TcMar-Tigger;AluSc|SINE|Alu
+mh02SCUZJ-0643696,AluY|SINE|Alu
+mh02SCUZJ-0646821,(GAG)n|Simple_repeat
+mh02SCUZJ-0649254,(ACAT)n|Simple_repeat;(TATG)n|Simple_repeat
+mh02SCUZJ-0653761,AluSq2|SINE|Alu
+mh02SCUZJ-0677360,(CA)n|Simple_repeat
+mh02SHY-002.v1,LTR45C|LTR|ERV1
+mh02USC-2qA,L2c|LINE|L2
+mh02USC-2qC,L1MC5a|LINE|L1
+mh02USC-2qD,MER74A|LTR|ERVL
+mh02WL-007,LTR41|LTR|ERVL;(GT)n|Simple_repeat
+mh02WL-012,MIRb|SINE|MIR
+mh02WL-014,L2a|LINE|L2
+mh02WL-044,MIR3|SINE|MIR
+mh02WL-047.v1,(AC)n|Simple_repeat
+mh02WL-047.v2,(AC)n|Simple_repeat
+mh02WL-049,MLT1A0|LTR|ERVL-MaLR
+mh02WL-057,L4_A_Mam|LINE|RTE-X
+mh02WL-069,MIR|SINE
+mh02WL-071,AluSz|SINE|Alu
+mh02WL-075,(TA)n|Simple_repeat
+mh02WL-077,MamSINE1|SINE|tRNA-RTE
+mh02WL-086,(CA)n|Simple_repeat
+mh02WL-088.v1,MIRc|SINE|MIR
+mh02WL-088.v2,MIRc|SINE|MIR
+mh02WL-093,(TATC)n|Simple_repeat
+mh02WL-098,(AC)n|Simple_repeat
+mh02WL-101,(TTCA)n|Simple_repeat
+mh02ZBF-001,AluSx3|SINE|Alu
+mh02ZHA-001,MIRc|SINE|MIR
+mh02ZHA-003,AluSc|SINE|Alu;AluSq2|SINE|Alu;AluJo|SINE|Alu
+mh02ZHA-008,MER20|DNA|hAT-Charlie
+mh02ZHA-013.v1,AluY|SINE|Alu
+mh02ZHA-013.v2,AluY|SINE|Alu
+mh02ZHA-013.v3,AluY|SINE|Alu
+mh03CP-005,AluSp|SINE|Alu;L1ME3G|LINE|L1
+mh03HYP-06,Charlie24|DNA|hAT-Charlie
+mh03HYP-07,MLT1K|LTR|ERVL-MaLR
+mh03HYP-10,MLT1K|LTR|ERVL-MaLR
+mh03KK-008,MER39|LTR|ERV1
+mh03KK-016.v1,MIRb|SINE|MIR
+mh03KK-016.v2,MIRb|SINE|MIR
+mh03KK-017.v1,L1ME3|LINE|L1
+mh03KK-017.v2,L1ME3|LINE|L1
+mh03KK-017.v3,L1ME3|LINE|L1
+mh03KK-017.v4,MER3|DNA|hAT-Charlie;L1ME3|LINE|L1
+mh03KK-017.v5,MER3|DNA|hAT-Charlie;L1ME3|LINE|L1
+mh03KK-018.v1,Charlie2b|DNA|hAT-Charlie
+mh03KK-018.v2,Charlie2b|DNA|hAT-Charlie
+mh03KK-047.v1,MamRep137|DNA|TcMar-Tigger;L2c|LINE|L2
+mh03KK-047.v2,MamRep137|DNA|TcMar-Tigger;L2c|LINE|L2
+mh03KK-150.v1,MIRb|SINE|MIR;(TTTTG)n|Simple_repeat
+mh03KK-150.v2,MIRb|SINE|MIR;(TTTTG)n|Simple_repeat
+mh03KK-150.v3,MIRb|SINE|MIR
+mh03LV-01.v1,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-01.v2,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-01.v3,L2b|LINE|L2;AluJb|SINE|Alu
+mh03LV-07.v1,AluY|SINE|Alu
+mh03LV-07.v2,AluY|SINE|Alu;HAL1|LINE|L1
+mh03LW-11,AluSg|SINE|Alu
+mh03SCUZJ-0000972.v1,(TA)n|Simple_repeat;AluY|SINE|Alu
+mh03SCUZJ-0000972.v2,AluY|SINE|Alu
+mh03SCUZJ-0048040,L1MC3|LINE|L1
+mh03SCUZJ-0048662,L2a|LINE|L2;THE1B|LTR|ERVL-MaLR
+mh03SCUZJ-0056495,MLT1A0|LTR|ERVL-MaLR;LTR33|LTR|ERVL
+mh03SCUZJ-0058881,AluJr|SINE|Alu;L2a|LINE|L2
+mh03SCUZJ-0064731,LTR33|LTR|ERVL;L2c|LINE|L2
+mh03SCUZJ-0080612,THE1A|LTR|ERVL-MaLR
+mh03SCUZJ-0084341,MamRTE1|LINE|RTE-BovB
+mh03SCUZJ-0101318,MLT1H|LTR|ERVL-MaLR;AluSc|SINE|Alu
+mh03SCUZJ-0105398,MIRb|SINE|MIR;LTR49|LTR|ERV1
+mh03SCUZJ-0130995,L1ME3G|LINE|L1;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat
+mh03SCUZJ-0138782,Charlie14a|DNA|hAT-Charlie
+mh03SCUZJ-0139620,AluYe6|SINE|Alu
+mh03SCUZJ-0154827,AluSg|SINE|Alu;MLT1G3|LTR|ERVL-MaLR;(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh03SCUZJ-0161227,(TA)n|Simple_repeat
+mh03SCUZJ-0165954,AluY|SINE|Alu;(AAC)n|Simple_repeat;AluY|SINE|Alu;HAL1|LINE|L1
+mh03SCUZJ-0172202,MLT1L|LTR|ERVL-MaLR
+mh03SCUZJ-0197004,THE1B|LTR|ERVL-MaLR;MLT1C-int|LTR|ERVL-MaLR;MLT1C|LTR|ERVL-MaLR
+mh03SCUZJ-0204490,AluSg|SINE|Alu
+mh03SCUZJ-0214757,L1MA2|LINE|L1
+mh03SCUZJ-0229447,L1MA7|LINE|L1;(TA)n|Simple_repeat
+mh03SCUZJ-0234425,AluSp|SINE|Alu
+mh03SCUZJ-0242802,MER2|DNA|TcMar-Tigger
+mh03SCUZJ-0257419,AluJb|SINE|Alu;MLT1L|LTR|ERVL-MaLR
+mh03SCUZJ-0306913,L1MA3|LINE|L1;L2a|LINE|L2
+mh03SCUZJ-0392555,L1PA3|LINE|L1
+mh03SCUZJ-0400856,L1PA6|LINE|L1
+mh03SCUZJ-0421208,(GT)n|Simple_repeat;GA-rich|Low_complexity;(GT)n|Simple_repeat
+mh03SCUZJ-0436981,SVA_D|Retroposon|SVA
+mh03SCUZJ-0455199,L1PA6|LINE|L1
+mh03SCUZJ-0473203,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh03SCUZJ-0489444,(ATTTC)n|Simple_repeat;AluSg|SINE|Alu
+mh03SCUZJ-0490785,(AC)n|Simple_repeat;(TC)n|Simple_repeat
+mh03SCUZJ-0501341,AluSx|SINE|Alu;MLT1B|LTR|ERVL-MaLR
+mh03SCUZJ-0521312,AluY|SINE|Alu
+mh03SCUZJ-0556403,Ricksha_0|DNA|MULE-MuDR;AluYj4|SINE|Alu;Ricksha_0|DNA|MULE-MuDR
+mh03SCUZJ-0556515,AluY|SINE|Alu
+mh03SCUZJ-0589868,HAL1|LINE|L1;AluSz|SINE|Alu
+mh03SCUZJ-0602768.v1,MER102a|DNA|hAT-Charlie;MER102a|DNA|hAT-Charlie
+mh03SCUZJ-0602768.v2,MER102a|DNA|hAT-Charlie
+mh03SCUZJ-0630191,MIR3|SINE|MIR;MER5B|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie;MER41D|LTR|ERV1
+mh03SHY-001,L2a|LINE|L2;L2|LINE
+mh03SHY-004,Zaphod|DNA|hAT-Tip100;Zaphod|DNA|hAT-Tip100
+mh03USC-3pB,MIRb|SINE|MIR;L2a|LINE|L2
+mh03USC-3qB,MLT1D|LTR|ERVL-MaLR
+mh03USC-3qC.v2,MER53|DNA|hAT
+mh03USC-3qC.v3,MER53|DNA|hAT
+mh03WL-006.v2,UCON49|LINE|L2
+mh03WL-017.v1,L3|LINE|CR1
+mh03WL-017.v2,L3|LINE|CR1
+mh03WL-046,MLT1O|LTR|ERVL-MaLR
+mh03WL-054,(ATA)n|Simple_repeat
+mh03WL-059,L2b|LINE|L2
+mh03WL-064,MamRTE1|LINE|RTE-BovB
+mh03WL-074,L4_A_Mam|LINE|RTE-X
+mh03ZHA-009,AluJo|SINE|Alu
+mh04CP-002,L2b|LINE|L2
+mh04CP-003,L2|LINE
+mh04CP-004,L1M5|LINE|L1
+mh04KK-011.v1,Charlie5|DNA|hAT-Charlie
+mh04KK-011.v2,Charlie5|DNA|hAT-Charlie
+mh04KK-016,L1MEc|LINE|L1
+mh04KK-030.v2,MER45A|DNA|hAT-Tip100
+mh04KK-030.v3,MER45A|DNA|hAT-Tip100
+mh04KK-074,L2|LINE
+mh04LW-13,LTR12C|LTR|ERV1
+mh04LW-15,(AT)n|Simple_repeat;(AG)n|Simple_repeat
+mh04LW-16,AluSp|SINE|Alu;(TAC)n|Simple_repeat;(AAT)n|Simple_repeat
+mh04SCUZJ-0002446,(TCTCTC)n|Simple_repeat;(CTGTCT)n|Simple_repeat;(TCTCTC)n|Simple_repeat
+mh04SCUZJ-0003326,L2a|LINE|L2;AluY|SINE|Alu
+mh04SCUZJ-0010543,AluY|SINE|Alu
+mh04SCUZJ-0017022,HERVE-int|LTR|ERV1
+mh04SCUZJ-0019973,HERVH-int|LTR|ERV1
+mh04SCUZJ-0038724,AluY|SINE|Alu;AluSx3|SINE|Alu
+mh04SCUZJ-0041270,L1MB8|LINE|L1
+mh04SCUZJ-0046198,(TGG)n|Simple_repeat
+mh04SCUZJ-0059871.v1,(CA)n|Simple_repeat
+mh04SCUZJ-0059871.v2,(CA)n|Simple_repeat
+mh04SCUZJ-0078389,L2b|LINE|L2
+mh04SCUZJ-0094786,AluSx3|SINE|Alu;L1M5|LINE|L1
+mh04SCUZJ-0098303,MLT1F2|LTR|ERVL-MaLR;MER94|DNA|hAT-Blackjack
+mh04SCUZJ-0115278.v1,MLT2A1|LTR|ERVL;(TA)n|Simple_repeat
+mh04SCUZJ-0115278.v2,(TA)n|Simple_repeat
+mh04SCUZJ-0126299,MSTB1|LTR|ERVL-MaLR
+mh04SCUZJ-0128388,AluSg|SINE|Alu;L1ME1|LINE|L1;(GT)n|Simple_repeat
+mh04SCUZJ-0175374,LTR16A|LTR|ERVL
+mh04SCUZJ-0194557.v1,(AT)n|Simple_repeat
+mh04SCUZJ-0194557.v2,(AT)n|Simple_repeat
+mh04SCUZJ-0216446.v1,MLT2D|LTR|ERVL;AluY|SINE|Alu
+mh04SCUZJ-0216446.v2,AluY|SINE|Alu;MLT2D|LTR|ERVL
+mh04SCUZJ-0221035,GSATII|Satellite|centr
+mh04SCUZJ-0221892,(GAATG)n|Satellite
+mh04SCUZJ-0226356,(CAA)n|Simple_repeat
+mh04SCUZJ-0246595,MER51-int|LTR|ERV1
+mh04SCUZJ-0254883,(CT)n|Simple_repeat;(AT)n|Simple_repeat;(GT)n|Simple_repeat
+mh04SCUZJ-0323171,AluY|SINE|Alu;(ATT)n|Simple_repeat;(TA)n|Simple_repeat;AluJb|SINE|Alu
+mh04SCUZJ-0370257,(ATATAT)n|Simple_repeat
+mh04SCUZJ-0374334,MER103C|DNA|hAT-Charlie;AluY|SINE|Alu
+mh04SCUZJ-0403151,(AATAG)n|Simple_repeat;L2a|LINE|L2;MER34A|LTR|ERV1
+mh04SCUZJ-0414863,AluSc|SINE|Alu;AluSg|SINE|Alu;AluSc|SINE|Alu
+mh04SCUZJ-0418776,L1ME2|LINE|L1;AluSz|SINE|Alu;(TTA)n|Simple_repeat;AluSz|SINE|Alu
+mh04SCUZJ-0442262,LTR12C|LTR|ERV1
+mh04SCUZJ-0474140,AluSx|SINE|Alu;L1MC5a|LINE|L1;AluJb|SINE|Alu
+mh04SCUZJ-0474306,AluYm1|SINE|Alu;(AT)n|Simple_repeat
+mh04SCUZJ-0483017,L1PA4|LINE|L1
+mh04SCUZJ-0488072,SST1|Satellite|centr
+mh04SCUZJ-0515541,(GC)n|Simple_repeat;L1MD2|LINE|L1
+mh04SCUZJ-0518603,(GAT)n|Simple_repeat;(TAT)n|Simple_repeat;AluY|SINE|Alu
+mh04SCUZJ-0536901,L2a|LINE|L2
+mh04SCUZJ-0573519,AluSx|SINE|Alu
+mh04SCUZJ-0576302,AluY|SINE|Alu
+mh04SCUZJ-0580985,AluSc8|SINE|Alu
+mh04SCUZJ-0585795,THE1B|LTR|ERVL-MaLR;AluY|SINE|Alu
+mh04SCUZJ-0606401,HERVH-int|LTR|ERV1
+mh04SCUZJ-0635044.v1,AluY|SINE|Alu
+mh04SCUZJ-0635044.v2,AluY|SINE|Alu
+mh04SCUZJ-0639864,AluY|SINE|Alu
+mh04SCUZJ-0650295,MER5A1|DNA|hAT-Charlie;L1ME3D|LINE|L1
+mh04SCUZJ-0661155,(CACATA)n|Simple_repeat
+mh04SCUZJ-0666563,L1MC4|LINE|L1;AluY|SINE|Alu;L1MC4|LINE|L1
+mh04SCUZJ-0668434,AluJr|SINE|Alu
+mh04SCUZJ-0675378,MER45R|DNA|hAT-Tip100;AluYh3|SINE|Alu;MER45R|DNA|hAT-Tip100
+mh04SCUZJ-0676070,A-rich|Low_complexity
+mh04SCUZJ-0684549.v1,AluY|SINE|Alu
+mh04SCUZJ-0684549.v2,AluY|SINE|Alu
+mh04SCUZJ-0692850,GA-rich|Low_complexity
+mh04SCUZJ-0696971,AluYa5|SINE|Alu;AluSc|SINE|Alu
+mh04SHY-004,MIRb|SINE|MIR
+mh04USC-4pA,MER47A|DNA|TcMar-Tigger
+mh04USC-4pB,MIRc|SINE|MIR
+mh04USC-4qA,L1MCa|LINE|L1
+mh04USC-4qC,MLT1J1|LTR|ERVL-MaLR
+mh04WL-009.v1,AluJr|SINE|Alu
+mh04WL-009.v2,MIR3|SINE|MIR;AluJr|SINE|Alu
+mh04WL-012.v3,AluSg|SINE|Alu
+mh04WL-031.v1,(TG)n|Simple_repeat
+mh04WL-031.v2,(TG)n|Simple_repeat
+mh04WL-031.v3,(TG)n|Simple_repeat
+mh04WL-032,AluSx4|SINE|Alu;(TAAA)n|Simple_repeat
+mh04WL-035,L1ME2|LINE|L1
+mh04WL-050,Arthur1A|DNA|hAT-Tip100
+mh04WL-052.v2,(TGCCCC)n|Simple_repeat
+mh04WL-057,L2b|LINE|L2;MER20|DNA|hAT-Charlie
+mh04WL-069,ORSL-2b|DNA|hAT-Tip100
+mh04WL-081.v1,(CAAAA)n|Simple_repeat
+mh04WL-081.v2,(CAAAA)n|Simple_repeat
+mh04WL-083,AluJr4|SINE|Alu
+mh04WL-090,GA-rich|Low_complexity
+mh04WL-091,MER33|DNA|hAT-Charlie
+mh04WL-092,(GACCCA)n|Simple_repeat;(GGCTGCA)n|Simple_repeat
+mh04ZBF-001,ORSL|DNA|hAT-Tip100
+mh04ZHA-001,MER5B|DNA|hAT-Charlie;L1MB5|LINE|L1
+mh04ZHA-002.v3,MER89|LTR|ERV1
+mh04ZHA-004,(CCACAG)n|Simple_repeat;MIRc|SINE|MIR
+mh04ZHA-007,MER51-int|LTR|ERV1
+mh05CP-010,L1PB1|LINE|L1
+mh05HYP-14,HERVH-int|LTR|ERV1;LTR7|LTR|ERV1
+mh05KK-120.v2,L2c|LINE|L2
+mh05KK-122,MIRc|SINE|MIR
+mh05KK-123,MIR|SINE
+mh05KK-170.v1,(AAAC)n|Simple_repeat
+mh05KK-170.v2,(AAAC)n|Simple_repeat
+mh05KK-170.v3,(AAAC)n|Simple_repeat
+mh05KK-170.v4,(AAAC)n|Simple_repeat
+mh05LW-17,L1M4|LINE|L1;(AT)n|Simple_repeat
+mh05LW-18,MER110A|LTR|ERV1
+mh05LW-19,MIRb|SINE|MIR
+mh05NH-10,L2c|LINE|L2
+mh05SCUZJ-0019879,AluSg|SINE|Alu;L1ME2|LINE|L1
+mh05SCUZJ-0042261,THE1B|LTR|ERVL-MaLR
+mh05SCUZJ-0050609,AluY|SINE|Alu
+mh05SCUZJ-0059185,(TTCA)n|Simple_repeat;L2b|LINE|L2
+mh05SCUZJ-0149834,(TA)n|Simple_repeat
+mh05SCUZJ-0152132,AluYe5|SINE|Alu
+mh05SCUZJ-0157735,L1M5|LINE|L1;(TTTAA)n|Simple_repeat;L1PB1|LINE|L1
+mh05SCUZJ-0215771,AluYa5|SINE|Alu;L1MB4|LINE|L1
+mh05SCUZJ-0218741,L4_C_Mam|LINE|RTE-X;MER117|DNA|hAT-Charlie
+mh05SCUZJ-0240825,(TA)n|Simple_repeat
+mh05SCUZJ-0263460,L1PA4|LINE|L1
+mh05SCUZJ-0269128,AluY|SINE|Alu
+mh05SCUZJ-0297424,(GTACGC)n|Simple_repeat
+mh05SCUZJ-0315595,(A)n|Simple_repeat;AluSp|SINE|Alu;(AC)n|Simple_repeat;(AT)n|Simple_repeat
+mh05SCUZJ-0341693,AluY|SINE|Alu;L1MC2|LINE|L1
+mh05SCUZJ-0378712,AluSg|SINE|Alu
+mh05SCUZJ-0403869,MLT1L-int|LTR|ERVL-MaLR
+mh05SCUZJ-0427297.v1,HERVH-int|LTR|ERV1
+mh05SCUZJ-0427297.v2,HERVH-int|LTR|ERV1
+mh05SCUZJ-0468213,L1PA6|LINE|L1
+mh05SCUZJ-0478441,(AT)n|Simple_repeat
+mh05SCUZJ-0482831,(AC)n|Simple_repeat
+mh05SCUZJ-0491123,AluSq|SINE|Alu;A-rich|Low_complexity
+mh05SCUZJ-0509473,L2|LINE
+mh05SCUZJ-0525156.v1,AluY|SINE|Alu;AluJr4|SINE|Alu
+mh05SCUZJ-0525156.v2,AluY|SINE|Alu
+mh05SCUZJ-0529226,(TG)n|Simple_repeat
+mh05SCUZJ-0529358,AluJr|SINE|Alu;AluY|SINE|Alu
+mh05SHY-001,MLT1C|LTR|ERVL-MaLR
+mh05SHY-003,L1M5|LINE|L1
+mh05USC-5pA,MLT1C|LTR|ERVL-MaLR
+mh05USC-5pB,L2c|LINE|L2
+mh05USC-5qC.v1,L2a|LINE|L2
+mh05USC-5qC.v2,L2a|LINE|L2
+mh05WL-003.v3,MIR|SINE
+mh05WL-004,L2a|LINE|L2;AluSx|SINE|Alu
+mh05WL-021,L2a|LINE|L2
+mh05WL-025.v1,(TACATT)n|Simple_repeat
+mh05WL-025.v2,(TACATT)n|Simple_repeat
+mh05WL-026.v2,L2a|LINE|L2
+mh05WL-036,(TC)n|Simple_repeat
+mh05WL-040,G-rich|Low_complexity
+mh05WL-046.v2,MIR|SINE
+mh05WL-051,(CAGA)n|Simple_repeat
+mh05WL-053,A-rich|Low_complexity
+mh05WL-065,(TG)n|Simple_repeat
+mh05WL-076,(ATTAAT)n|Simple_repeat;(GTCAAT)n|Simple_repeat
+mh05ZHA-002,MIRb|SINE|MIR
+mh05ZHA-004,ERV3-16A3_LTR|LTR|ERVL
+mh05ZHA-005,L2a|LINE|L2
+mh06CP-003,L1MEi|LINE|L1
+mh06FHL-002,MLT1L|LTR|ERVL-MaLR
+mh06KK-025,LTR12C|LTR|ERV1
+mh06KK-031,L2b|LINE|L2
+mh06KK-090.v1,LTR71B|LTR|ERV1
+mh06KK-090.v2,LTR71B|LTR|ERV1
+mh06KK-101,L1MC5|LINE|L1
+mh06KK-104,L2a|LINE|L2
+mh06LV-09,HERVK22-int|LTR|ERVK;HERVK22-int|LTR|ERVK
+mh06LW-20,L1MC5|LINE|L1;(TA)n|Simple_repeat;(AG)n|Simple_repeat;AluSz6|SINE|Alu
+mh06LW-21,LTR5A|LTR|ERVK
+mh06LW-22,L1PA6|LINE|L1
+mh06PK-24844,LTR12C|LTR|ERV1
+mh06PK-25713,AluJb|SINE|Alu
+mh06SCUZJ-0000232,AluY|SINE|Alu
+mh06SCUZJ-0001113,MER44C|DNA|TcMar-Tigger
+mh06SCUZJ-0028667,LTR12C|LTR|ERV1
+mh06SCUZJ-0044939,MLT1F2|LTR|ERVL-MaLR
+mh06SCUZJ-0056888.v1,AluYa5|SINE|Alu
+mh06SCUZJ-0056888.v2,AluYa5|SINE|Alu;AluJr4|SINE|Alu
+mh06SCUZJ-0060725,(TGTC)n|Simple_repeat;(TCTA)n|Simple_repeat;(CCTA)n|Simple_repeat;L2b|LINE|L2;(TA)n|Simple_repeat;(GT)n|Simple_repeat
+mh06SCUZJ-0062900,AluY|SINE|Alu;AluY|SINE|Alu
+mh06SCUZJ-0089255,AluY|SINE|Alu;L1PA5|LINE|L1
+mh06SCUZJ-0126880,AluY|SINE|Alu;(TTCT)n|Simple_repeat
+mh06SCUZJ-0167872,LTR43-int|LTR|ERV1;LTR43|LTR|ERV1
+mh06SCUZJ-0445212,MIR3|SINE|MIR
+mh06SCUZJ-0458246,PABL_A-int|LTR|ERV1
+mh06SCUZJ-0480560.v1,ALR/Alpha|Satellite|centr
+mh06SCUZJ-0480560.v2,ALR/Alpha|Satellite|centr
+mh06SCUZJ-0528857,L1M5|LINE|L1;AluY|SINE|Alu
+mh06SCUZJ-0610307,MIRb|SINE|MIR;L1PA16|LINE|L1
+mh06SCUZJ-0616750,AluSc8|SINE|Alu;(ATAA)n|Simple_repeat;ORSL|DNA|hAT-Tip100
+mh06SCUZJ-0638919.v1,AluY|SINE|Alu;L1MA6|LINE|L1
+mh06SCUZJ-0638919.v2,AluY|SINE|Alu;L1MA6|LINE|L1
+mh06SCUZJ-0663860,LTR12C|LTR|ERV1
+mh06SCUZJ-0758459.v1,AluY|SINE|Alu;(AAAC)n|Simple_repeat;MIR|SINE
+mh06SCUZJ-0758459.v2,AluY|SINE|Alu;(AAAC)n|Simple_repeat;MIR|SINE
+mh06SCUZJ-0775073,AluYe5|SINE|Alu
+mh06SCUZJ-0777684,AluJr|SINE|Alu;AluSg|SINE|Alu
+mh06SCUZJ-0794653,A-rich|Low_complexity;AluYm1|SINE|Alu
+mh06SCUZJ-0818553,(TA)n|Simple_repeat
+mh06SCUZJ-0819423,L1PA7|LINE|L1
+mh06SCUZJ-0834226.v1,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh06SCUZJ-0834226.v2,(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh06SCUZJ-0845279,AluSx1|SINE|Alu
+mh06SCUZJ-0853086,(CA)n|Simple_repeat;(CA)n|Simple_repeat;(CA)n|Simple_repeat
+mh06SHY-001,MIRb|SINE|MIR
+mh06SHY-002,MIR3|SINE|MIR
+mh06SHY-003,L1ME3B|LINE|L1
+mh06SHY-005.v1,MLT1G1|LTR|ERVL-MaLR
+mh06SHY-005.v2,AluY|SINE|Alu;MLT1G1|LTR|ERVL-MaLR
+mh06USC-6pB,MLT1H|LTR|ERVL-MaLR
+mh06USC-6qB,L1MD2|LINE|L1
+mh06USC-6qC,L1M5|LINE|L1
+mh06WL-005.v1,(TTATATG)n|Simple_repeat
+mh06WL-005.v2,(TTATATG)n|Simple_repeat
+mh06WL-009.v1,(T)n|Simple_repeat;(GTTT)n|Simple_repeat;L2|LINE
+mh06WL-009.v2,(T)n|Simple_repeat;(GTTT)n|Simple_repeat;L2|LINE
+mh06WL-009.v3,(T)n|Simple_repeat;(GTTT)n|Simple_repeat
+mh06WL-022,(CT)n|Simple_repeat
+mh06WL-028.v1,A-rich|Low_complexity;(AT)n|Simple_repeat
+mh06WL-028.v2,(AT)n|Simple_repeat;A-rich|Low_complexity;(AT)n|Simple_repeat
+mh06WL-029.v1,MER91A|DNA|hAT-Tip100
+mh06WL-029.v2,MER91A|DNA|hAT-Tip100
+mh06WL-035,(A)n|Simple_repeat
+mh06WL-039.v1,L2c|LINE|L2
+mh06WL-039.v2,L2c|LINE|L2
+mh06WL-040,L1MEf|LINE|L1;(CA)n|Simple_repeat;(GA)n|Simple_repeat;L1PB4|LINE|L1
+mh06WL-061,L4_A_Mam|LINE|RTE-X
+mh06WL-063.v1,MIR|SINE
+mh06WL-063.v2,MIR|SINE
+mh06WL-064,(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh06WL-082,L1MA7|LINE|L1
+mh07CP-004,SVA_D|Retroposon|SVA
+mh07FHL-001,L1M5|LINE|L1
+mh07FHL-002.v1,L1MB3|LINE|L1
+mh07FHL-002.v2,L1MB3|LINE|L1
+mh07FHL-004,L1M1|LINE|L1
+mh07HYP-19.v2,L1MC1|LINE|L1
+mh07HYP-19.v3,L1MC1|LINE|L1
+mh07HYP-20,MSTA|LTR|ERVL-MaLR
+mh07KK-009.v1,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-009.v2,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-009.v3,L2b|LINE|L2;MER21C|LTR|ERVL
+mh07KK-030,MIRb|SINE|MIR
+mh07LW-23,AluSq2|SINE|Alu
+mh07PK-38311,FLAM_A|SINE|Alu
+mh07SCUZJ-0003371,AluY|SINE|Alu
+mh07SCUZJ-0003928,AluYh3|SINE|Alu
+mh07SCUZJ-0018090,AluY|SINE|Alu
+mh07SCUZJ-0027619,(AAAT)n|Simple_repeat;AluSx|SINE|Alu
+mh07SCUZJ-0039245,LTR5A|LTR|ERVK
+mh07SCUZJ-0040173,AluSx1|SINE|Alu;(CA)n|Simple_repeat;AluJr|SINE|Alu
+mh07SCUZJ-0048768,L2b|LINE|L2
+mh07SCUZJ-0053702,L1MC1|LINE|L1
+mh07SCUZJ-0064598,FLAM_A|SINE|Alu;(AC)n|Simple_repeat
+mh07SCUZJ-0081095,L1MEa|LINE|L1;MLT2B1|LTR|ERVL
+mh07SCUZJ-0091827,AluY|SINE|Alu
+mh07SCUZJ-0093911,AluJb|SINE|Alu;L1M4|LINE|L1
+mh07SCUZJ-0102959.v1,(TA)n|Simple_repeat
+mh07SCUZJ-0102959.v2,(TA)n|Simple_repeat
+mh07SCUZJ-0114457,HERVH-int|LTR|ERV1
+mh07SCUZJ-0114603,MIR3|SINE|MIR
+mh07SCUZJ-0126293,SVA_D|Retroposon|SVA
+mh07SCUZJ-0130504,L2|LINE
+mh07SCUZJ-0141326,(CAGGGA)n|Simple_repeat
+mh07SCUZJ-0153825,L1MC3|LINE|L1
+mh07SCUZJ-0177079,AluJr|SINE|Alu
+mh07SCUZJ-0195258,G-rich|Low_complexity;MLT1A|LTR|ERVL-MaLR
+mh07SCUZJ-0197487,(TA)n|Simple_repeat;(AG)n|Simple_repeat
+mh07SCUZJ-0203471,AluSg|SINE|Alu
+mh07SCUZJ-0232374,L1M4|LINE|L1
+mh07SCUZJ-0246006,(TA)n|Simple_repeat
+mh07SCUZJ-0246634,(TA)n|Simple_repeat;(AC)n|Simple_repeat
+mh07SCUZJ-0269727,L1M1|LINE|L1
+mh07SCUZJ-0279301,AluSx1|SINE|Alu
+mh07SCUZJ-0282207,AluY|SINE|Alu;LTR32|LTR|ERVL
+mh07SCUZJ-0309217,AluJb|SINE|Alu;(TC)n|Simple_repeat;(TATA)n|Simple_repeat;AluSp|SINE|Alu
+mh07SCUZJ-0311471,AluSx|SINE|Alu
+mh07SCUZJ-0325681,AluSc8|SINE|Alu
+mh07SCUZJ-0339304,L1PA4|LINE|L1
+mh07SCUZJ-0350377,(GCGCAC)n|Simple_repeat;(CA)n|Simple_repeat
+mh07SCUZJ-0360945,L1M4|LINE|L1
+mh07SCUZJ-0388024,L1PA2|LINE|L1
+mh07SCUZJ-0395598,AluY|SINE|Alu
+mh07SCUZJ-0400472,AluSc8|SINE|Alu
+mh07SCUZJ-0411309,AluY|SINE|Alu;MIRb|SINE|MIR
+mh07SCUZJ-0428708,(AT)n|Simple_repeat;(AG)n|Simple_repeat;L1MC3|LINE|L1
+mh07SCUZJ-0439025,MER5B|DNA|hAT-Charlie
+mh07SCUZJ-0462646,AluSc8|SINE|Alu;A-rich|Low_complexity
+mh07SCUZJ-0475111,AluSg|SINE|Alu;AluJr|SINE|Alu
+mh07SCUZJ-0507175,LTR49-int|LTR|ERV1
+mh07SCUZJ-0515002,AluYm1|SINE|Alu
+mh07SCUZJ-0526402,HERVE-int|LTR|ERV1
+mh07SCUZJ-0526530,L1MDa|LINE|L1;HERVE_a-int|LTR|ERV1
+mh07SCUZJ-0532868,(ATAT)n|Simple_repeat
+mh07SCUZJ-0536318,MLT1D|LTR|ERVL-MaLR
+mh07SCUZJ-0543221,L1MB7|LINE|L1;L1MC4|LINE|L1
+mh07SHY-001.v1,THE1A|LTR|ERVL-MaLR
+mh07SHY-001.v2,THE1A|LTR|ERVL-MaLR
+mh07SHY-002,MER41A|LTR|ERV1;LTR39|LTR|ERV1
+mh07USC-7pA,L1MEf|LINE|L1
+mh07USC-7qC,MIR|SINE
+mh07WL-006,L2|LINE
+mh07WL-007.v2,(CCCT)n|Simple_repeat
+mh07WL-011.v1,(GAGGAATGGG)n|Simple_repeat
+mh07WL-011.v2,(GAGGAATGGG)n|Simple_repeat
+mh07WL-011.v3,(GAGGAATGGG)n|Simple_repeat
+mh07WL-020.v2,L4_A_Mam|LINE|RTE-X
+mh07WL-020.v3,L4_A_Mam|LINE|RTE-X
+mh07WL-035,L1PA16|LINE|L1;(TTTC)n|Simple_repeat;ERVL-E-int|LTR|ERVL
+mh07WL-036,L2c|LINE|L2
+mh07WL-042,(AAC)n|Simple_repeat
+mh07WL-057,LTR80B|LTR|ERVL
+mh07WL-066,(AC)n|Simple_repeat
+mh07WL-075,A-rich|Low_complexity
+mh07WL-083,MIR|SINE
+mh07WL-085,MLT1I|LTR|ERVL-MaLR
+mh07WL-086,MIRb|SINE|MIR
+mh07WL-087,AluSp|SINE|Alu
+mh07ZBF-001,AluSq2|SINE|Alu;L1MA4A|LINE|L1
+mh07ZHA-003,L2a|LINE|L2
+mh07ZHA-009,L1PA3|LINE|L1
+mh08CP-009,MLT1D|LTR|ERVL-MaLR
+mh08HYP-22,AluJb|SINE|Alu
+mh08HYP-23,MIRb|SINE|MIR
+mh08KK-032,L1ME4b|LINE|L1
+mh08KK-137.v1,HAL1|LINE|L1
+mh08KK-137.v2,HAL1|LINE|L1
+mh08LW-24,LTR12C|LTR|ERV1
+mh08SCUZJ-0001380,LTR2C|LTR|ERV1
+mh08SCUZJ-0027072,AluSc8|SINE|Alu;L1MC|LINE|L1
+mh08SCUZJ-0055163,AluY|SINE|Alu;L1PB1|LINE|L1
+mh08SCUZJ-0082014,MER6|DNA|TcMar-Tigger;AluYf1|SINE|Alu
+mh08SCUZJ-0088755,AluSg4|SINE|Alu
+mh08SCUZJ-0115265,LTR5A|LTR|ERVK
+mh08SCUZJ-0149946,L1MB7|LINE|L1
+mh08SCUZJ-0152604,MER50B|LTR|ERV1
+mh08SCUZJ-0170499,L1PA2|LINE|L1
+mh08SCUZJ-0173990,MER103C|DNA|hAT-Charlie;(AT)n|Simple_repeat
+mh08SCUZJ-0190805,L1M3de|LINE|L1
+mh08SCUZJ-0196286,MER5B|DNA|hAT-Charlie;Arthur1C|DNA|hAT-Tip100
+mh08SCUZJ-0210097,(CA)n|Simple_repeat;MIRb|SINE|MIR
+mh08SCUZJ-0214057,MER21-int|LTR|ERVL
+mh08SCUZJ-0266782,ALR/Alpha|Satellite|centr
+mh08SCUZJ-0266840,ALR/Alpha|Satellite|centr
+mh08SCUZJ-0270227,AluSq|SINE|Alu
+mh08SCUZJ-0288801,AluSx|SINE|Alu;L1PB1|LINE|L1;(TA)n|Simple_repeat;(ATATATAC)n|Simple_repeat;(TA)n|Simple_repeat
+mh08SCUZJ-0302028,L1MC4|LINE|L1;(TTG)n|Simple_repeat;AluY|SINE|Alu
+mh08SCUZJ-0315353,L1PA7|LINE|L1;(ATAC)n|Simple_repeat;L1PA7|LINE|L1
+mh08SCUZJ-0319048,(CA)n|Simple_repeat;(TG)n|Simple_repeat;(TA)n|Simple_repeat
+mh08SCUZJ-0351536,L1PA17|LINE|L1;A-rich|Low_complexity;(GAAGGAAG)n|Simple_repeat;A-rich|Low_complexity
+mh08SCUZJ-0358922,MER4A|LTR|ERV1;AluY|SINE|Alu
+mh08SCUZJ-0386847,AluSq|SINE|Alu
+mh08SCUZJ-0470219,Tigger13a|DNA|TcMar-Tigger
+mh08SCUZJ-0474234,AluY|SINE|Alu
+mh08SCUZJ-0476324,L2a|LINE|L2
+mh08SCUZJ-0484105,AluSx3|SINE|Alu;AluYa5|SINE|Alu
+mh08SCUZJ-0489834,MER5B|DNA|hAT-Charlie
+mh08SCUZJ-0497299,MIRb|SINE|MIR;MLT1B|LTR|ERVL-MaLR
+mh08SCUZJ-0518295,THE1B|LTR|ERVL-MaLR;L1MC3|LINE|L1
+mh08SCUZJ-0530970,L2b|LINE|L2
+mh08SCUZJ-0538280.v1,LTR5A|LTR|ERVK
+mh08SCUZJ-0538280.v2,LTR5A|LTR|ERVK
+mh08SHY-001,L1M4|LINE|L1
+mh08SHY-003,MLT1C|LTR|ERVL-MaLR;MLT1J|LTR|ERVL-MaLR
+mh08SHY-005,L1MB8|LINE|L1
+mh08SHY-006,L1ME4c|LINE|L1;THE1A|LTR|ERVL-MaLR
+mh08SHY-007.v2,AluY|SINE|Alu
+mh08SHY-007.v3,AluY|SINE|Alu
+mh08USC-8qC,MIRc|SINE|MIR;MamRep1527|LTR
+mh08WL-003,L1M5|LINE|L1
+mh08WL-018,L2a|LINE|L2
+mh08WL-031,L3|LINE|CR1
+mh08WL-032.v1,LTR9A1|LTR|ERV1;(AG)n|Simple_repeat
+mh08WL-032.v2,LTR9A1|LTR|ERV1;(AG)n|Simple_repeat;MIRb|SINE|MIR
+mh08WL-033,MIRb|SINE|MIR
+mh08WL-045.v1,MADE2|DNA|TcMar-Mariner
+mh08WL-045.v3,MADE2|DNA|TcMar-Mariner
+mh08WL-047,(TG)n|Simple_repeat;GA-rich|Low_complexity
+mh08WL-053.v2,AluSc8|SINE|Alu
+mh08WL-056.v1,MARNA|DNA|TcMar-Mariner
+mh08WL-056.v2,L1ME3A|LINE|L1;MARNA|DNA|TcMar-Mariner
+mh08WL-057,Tigger1|DNA|TcMar-Tigger
+mh08WL-058.v2,(T)n|Simple_repeat
+mh08WL-063,L2c|LINE|L2
+mh08WL-065,(GT)n|Simple_repeat
+mh08WL-068,(AT)n|Simple_repeat;L1ME4c|LINE|L1
+mh08ZHA-003,HERVL40-int|LTR|ERVL
+mh08ZHA-008,MER5A|DNA|hAT-Charlie
+mh08ZHA-009,HAL1b|LINE|L1
+mh09FHL-002.v3,MIR3|SINE|MIR
+mh09HYP-24,L2a|LINE|L2
+mh09KK-034,(TATTACT)n|Simple_repeat
+mh09LV-02.v1,LTR5A|LTR|ERVK
+mh09LV-02.v2,LTR5A|LTR|ERVK
+mh09LW-25,L1PA13|LINE|L1
+mh09SCUZJ-0032359,GA-rich|Low_complexity;(AAAAG)n|Simple_repeat
+mh09SCUZJ-0035837,L1ME3F|LINE|L1;AluSc5|SINE|Alu;L1ME3F|LINE|L1
+mh09SCUZJ-0042152,(CATC)n|Simple_repeat;L2c|LINE|L2
+mh09SCUZJ-0052579,L1ME4a|LINE|L1;AluSx|SINE|Alu
+mh09SCUZJ-0066821,L1MA3|LINE|L1;L1MC4a|LINE|L1
+mh09SCUZJ-0076471,AluY|SINE|Alu
+mh09SCUZJ-0092358,L2a|LINE|L2;AluSc5|SINE|Alu
+mh09SCUZJ-0104365,MER2|DNA|TcMar-Tigger;FAM|SINE|Alu
+mh09SCUZJ-0161170,L1P2|LINE|L1
+mh09SCUZJ-0166338,MER102a|DNA|hAT-Charlie
+mh09SCUZJ-0172993,MIR|SINE;AluSx4|SINE|Alu
+mh09SCUZJ-0182699,TAR1|Satellite|telo
+mh09SCUZJ-0210996,AluSx|SINE|Alu
+mh09SCUZJ-0251127,HERVE-int|LTR|ERV1
+mh09SCUZJ-0262890,L1M4b|LINE|L1
+mh09SCUZJ-0291476,(AG)n|Simple_repeat;AluSc|SINE|Alu
+mh09SCUZJ-0302180,AluSc|SINE|Alu
+mh09SCUZJ-0311214,MIRb|SINE|MIR;LTR58|LTR|ERV1;L2b|LINE|L2
+mh09SCUZJ-0319309,5S|rRNA
+mh09SCUZJ-0327434,AluSx1|SINE|Alu;(ATAG)n|Simple_repeat
+mh09SCUZJ-0343150,L1PA5|LINE|L1
+mh09SCUZJ-0372874,LTR103b_Mam|LTR|ERV1?;L2b|LINE|L2
+mh09SCUZJ-0382505,AluY|SINE|Alu
+mh09SCUZJ-0387742,L1M6|LINE|L1;AluY|SINE|Alu;L1M6|LINE|L1
+mh09SCUZJ-0401275,AluY|SINE|Alu;AluY|SINE|Alu
+mh09USC-9pA.v2,LTR1B|LTR|ERV1
+mh09USC-9qA,MER58C|DNA|hAT-Charlie
+mh09WL-015.v1,L1ME4c|LINE|L1
+mh09WL-015.v2,L1ME4c|LINE|L1
+mh09WL-029,MIR1_Amn|SINE|MIR;(AT)n|Simple_repeat
+mh09WL-038,MIR3|SINE|MIR
+mh09WL-042,LTR1C|LTR|ERV1
+mh09WL-046,(AATA)n|Simple_repeat;AluSp|SINE|Alu
+mh09ZHA-004,AluSp|SINE|Alu
+mh09ZHA-008,L1PA6|LINE|L1
+mh0XUSC-XpB,MER102c|DNA|hAT-Charlie
+mh0XUSC-XqB,L1PBa|LINE|L1
+mh0XUSC-XqC,LTR25-int|LTR|ERV1
+mh0XUSC-XqH,L1M4|LINE|L1
+mh10FHL-001,AluY|SINE|Alu
+mh10FHL-007,L1MC5|LINE|L1
+mh10KK-083,MIRb|SINE|MIR
+mh10KK-086,MER5B|DNA|hAT-Charlie
+mh10KK-162.v1,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-162.v2,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-162.v3,AluSc|SINE|Alu;(ATT)n|Simple_repeat
+mh10KK-163.v1,(TG)n|Simple_repeat
+mh10KK-163.v3,(TG)n|Simple_repeat
+mh10LV-03.v1,L2a|LINE|L2;AluSz|SINE|Alu
+mh10LV-03.v2,L2a|LINE|L2;AluSz|SINE|Alu
+mh10SCUZJ-0003737,AluY|SINE|Alu
+mh10SCUZJ-0011512,L1ME4b|LINE|L1;L2|LINE
+mh10SCUZJ-0020886,AluY|SINE|Alu
+mh10SCUZJ-0034300,(TG)n|Simple_repeat
+mh10SCUZJ-0041521,Alu|SINE;Alu|SINE;Alu|SINE;Alu|SINE;AluY|SINE|Alu;tRNA-Cys-TGY|tRNA
+mh10SCUZJ-0045763,THE1B|LTR|ERVL-MaLR
+mh10SCUZJ-0047404,AluY|SINE|Alu;AluSc|SINE|Alu
+mh10SCUZJ-0057495.v1,MLT1J|LTR|ERVL-MaLR
+mh10SCUZJ-0057495.v2,MLT1J|LTR|ERVL-MaLR
+mh10SCUZJ-0065487,AluY|SINE|Alu
+mh10SCUZJ-0066625,AluSx1|SINE|Alu;AluYk3|SINE|Alu
+mh10SCUZJ-0082196,THE1A|LTR|ERVL-MaLR;L1M3|LINE|L1
+mh10SCUZJ-0091878,(TATTT)n|Simple_repeat;AluY|SINE|Alu
+mh10SCUZJ-0099293,AluSx|SINE|Alu;L2a|LINE|L2
+mh10SCUZJ-0115848,MLT1B|LTR|ERVL-MaLR;(TTATATA)n|Simple_repeat
+mh10SCUZJ-0122574,AluSg|SINE|Alu;L1MD2|LINE|L1
+mh10SCUZJ-0143911,AluY|SINE|Alu
+mh10SCUZJ-0149820,MIR3|SINE|MIR;MER83|LTR|ERV1
+mh10SCUZJ-0151424,AluSx|SINE|Alu
+mh10SCUZJ-0155992,MER83|LTR|ERV1;MIR3|SINE|MIR
+mh10SCUZJ-0187543,ALR/Alpha|Satellite|centr
+mh10SCUZJ-0204710.v1,MER101-int|LTR|ERV1;AluY|SINE|Alu
+mh10SCUZJ-0204710.v2,MER101-int|LTR|ERV1;AluY|SINE|Alu
+mh10SCUZJ-0206566,MLT2B4|LTR|ERVL;(GT)n|Simple_repeat;MLT2B4|LTR|ERVL
+mh10SCUZJ-0251871,AluSx3|SINE|Alu;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat;AluSx3|SINE|Alu
+mh10SCUZJ-0255190,AluY|SINE|Alu
+mh10SCUZJ-0281402,L1PA3|LINE|L1
+mh10SCUZJ-0290121,MIRb|SINE|MIR;THE1B|LTR|ERVL-MaLR
+mh10SCUZJ-0297129.v1,(AT)n|Simple_repeat;MIRb|SINE|MIR
+mh10SCUZJ-0297129.v2,(AT)n|Simple_repeat;MIRb|SINE|MIR
+mh10SCUZJ-0318800,AluY|SINE|Alu;Tigger1|DNA|TcMar-Tigger;MER4CL34|LTR|ERV1
+mh10SCUZJ-0366546.v1,LTR5A|LTR|ERVK
+mh10SCUZJ-0366546.v2,LTR5A|LTR|ERVK
+mh10SCUZJ-0378284.v1,AluY|SINE|Alu
+mh10SCUZJ-0378284.v2,AluY|SINE|Alu
+mh10SCUZJ-0380360,AluYm1|SINE|Alu;AluSp|SINE|Alu
+mh10SCUZJ-0387827,L1PA2|LINE|L1
+mh10SCUZJ-0417848,HAL1|LINE|L1;HAL1|LINE|L1
+mh10SCUZJ-0424390,(GT)n|Simple_repeat
+mh10SCUZJ-0434622,MER5B|DNA|hAT-Charlie;AluY|SINE|Alu
+mh10SCUZJ-0450180,AluSx1|SINE|Alu;L2c|LINE|L2
+mh10SCUZJ-0458855,L2a|LINE|L2
+mh10SCUZJ-0475575,AluSc|SINE|Alu;THE1A|LTR|ERVL-MaLR;MER4D|LTR|ERV1
+mh10SCUZJ-0491974,(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat;(CCGTGTCCC)n|Simple_repeat
+mh10SHY-001,MER94|DNA|hAT-Blackjack
+mh10SHY-002.v1,MIRb|SINE|MIR;(GCT)n|Simple_repeat
+mh10SHY-002.v2,MIRb|SINE|MIR;(GCT)n|Simple_repeat
+mh10SHY-002.v3,(GCT)n|Simple_repeat;L2b|LINE|L2
+mh10USC-10pA,Tigger17a|DNA|TcMar-Tigger
+mh10USC-10qA,L1MC3|LINE|L1
+mh10USC-10qB,MIR1_Amn|SINE|MIR
+mh10USC-10qC,L1ME2|LINE|L1
+mh10WL-001.v1,L1ME3G|LINE|L1
+mh10WL-001.v2,AluY|SINE|Alu;L1ME3G|LINE|L1
+mh10WL-003,(ACAA)n|Simple_repeat
+mh10WL-004,(TCCC)n|Simple_repeat;(TC)n|Simple_repeat
+mh10WL-009,(AT)n|Simple_repeat
+mh10WL-018.v1,AluJb|SINE|Alu;L2a|LINE|L2
+mh10WL-018.v2,AluJb|SINE|Alu
+mh10WL-033.v1,(CTC)n|Simple_repeat
+mh10WL-033.v2,(CTC)n|Simple_repeat
+mh10WL-034,GA-rich|Low_complexity
+mh10WL-046.v1,MER58A|DNA|hAT-Charlie
+mh10WL-046.v2,MIRb|SINE|MIR;MER58A|DNA|hAT-Charlie
+mh10WL-048,(CACAGC)n|Simple_repeat
+mh10WL-049,A-rich|Low_complexity
+mh10WL-053,G-rich|Low_complexity
+mh10WL-056,MLT1L|LTR|ERVL-MaLR
+mh10WL-058.v2,(GT)n|Simple_repeat
+mh10ZHA-002,MIR|SINE
+mh11CP-003,L1PB4|LINE|L1
+mh11CP-004,MER21C|LTR|ERVL
+mh11FHL-007,AluY|SINE|Alu
+mh11HYP-27,MIRc|SINE|MIR
+mh11KK-036.v1,Tigger17c|DNA|TcMar-Tigger
+mh11KK-036.v2,Tigger17c|DNA|TcMar-Tigger
+mh11KK-090,L2c|LINE|L2
+mh11KK-103,MER74B|LTR|ERVL
+mh11KK-183.v1,L2b|LINE|L2
+mh11KK-183.v2,L2b|LINE|L2
+mh11KK-183.v3,L2b|LINE|L2
+mh11KK-187,Tigger15a|DNA|TcMar-Tigger;LTR67B|LTR|ERVL
+mh11KK-190,ERV3-16A3_I-int|LTR|ERVL;MER70A|LTR|ERVL
+mh11KK-191.v1,Plat_L3|LINE|CR1
+mh11KK-191.v2,Plat_L3|LINE|CR1
+mh11KK-191.v3,Plat_L3|LINE|CR1
+mh11KK-191.v4,Plat_L3|LINE|CR1
+mh11SCUZJ-0001016,AluY|SINE|Alu;LTR76|LTR|ERV1
+mh11SCUZJ-0001330,AluYe6|SINE|Alu;MER41A|LTR|ERV1
+mh11SCUZJ-0028680.v1,HAL1|LINE|L1
+mh11SCUZJ-0028680.v2,HAL1|LINE|L1
+mh11SCUZJ-0044157,MIR|SINE;MER2|DNA|TcMar-Tigger
+mh11SCUZJ-0062178,L1MA9|LINE|L1
+mh11SCUZJ-0077457,(TTCT)n|Simple_repeat
+mh11SCUZJ-0078959,MER41B|LTR|ERV1;AluSc8|SINE|Alu;AluSz|SINE|Alu
+mh11SCUZJ-0102261,MER63A|DNA|hAT-Blackjack;MLT1J|LTR|ERVL-MaLR
+mh11SCUZJ-0148662,MIRb|SINE|MIR
+mh11SCUZJ-0176211,SATR1|Satellite
+mh11SCUZJ-0199321,ALR/Alpha|Satellite|centr
+mh11SCUZJ-0200688,L1PA2|LINE|L1
+mh11SCUZJ-0215793,LTR28C|LTR|ERV1
+mh11SCUZJ-0216329,SVA_F|Retroposon|SVA
+mh11SCUZJ-0227031,AluSz6|SINE|Alu;AluY|SINE|Alu;AluSz6|SINE|Alu
+mh11SCUZJ-0232565,LTR5A|LTR|ERVK
+mh11SCUZJ-0244173,MLT1B|LTR|ERVL-MaLR;AluJb|SINE|Alu
+mh11SCUZJ-0251040,(TATACACG)n|Simple_repeat;(TATA)n|Simple_repeat;AluSp|SINE|Alu
+mh11SCUZJ-0280400,L3|LINE|CR1;L3|LINE|CR1;MADE1|DNA|TcMar-Mariner
+mh11SCUZJ-0290037,(TA)n|Simple_repeat
+mh11SCUZJ-0334147,AluY|SINE|Alu
+mh11SCUZJ-0350528,L2a|LINE|L2;MIRb|SINE|MIR
+mh11SCUZJ-0363448,L2a|LINE|L2;MLT1J2|LTR|ERVL-MaLR;L1MEj|LINE|L1
+mh11SCUZJ-0385048,Plat_L3|LINE|CR1;X7C_LINE|LINE|CR1
+mh11SCUZJ-0395195,MIR1_Amn|SINE|MIR
+mh11SCUZJ-0402779,LTR5A|LTR|ERVK
+mh11SCUZJ-0413561.v1,AluSg|SINE|Alu
+mh11SCUZJ-0413561.v2,AluSg|SINE|Alu
+mh11SCUZJ-0422708,L1MC1|LINE|L1;AluY|SINE|Alu
+mh11SCUZJ-0428324,L3|LINE|CR1
+mh11USC-11pA,Charlie25|DNA|hAT-Charlie
+mh11USC-11qB,MIRb|SINE|MIR
+mh11USC-11qC.v1,L2c|LINE|L2;L3|LINE|CR1
+mh11USC-11qC.v2,L3|LINE|CR1;L2c|LINE|L2;L3|LINE|CR1
+mh11WL-003.v1,(TG)n|Simple_repeat
+mh11WL-003.v2,(TG)n|Simple_repeat
+mh11WL-020,(TATTTT)n|Simple_repeat
+mh11WL-023,L2c|LINE|L2
+mh11WL-027.v2,MER6B|DNA|TcMar-Tigger
+mh11WL-033.v1,L2c|LINE|L2
+mh11WL-033.v2,L2c|LINE|L2;FLAM_C|SINE|Alu;L2c|LINE|L2
+mh11WL-037,AluSc8|SINE|Alu
+mh11WL-038,L1MB7|LINE|L1
+mh11WL-043,(AC)n|Simple_repeat
+mh11WL-044,MIRb|SINE|MIR
+mh11WL-051,(TGGCAC)n|Simple_repeat
+mh11WL-052,(GT)n|Simple_repeat
+mh11WL-053,MIRb|SINE|MIR
+mh11WL-054,MER5A|DNA|hAT-Charlie
+mh11WL-055,G-rich|Low_complexity
+mh11WL-056,L2c|LINE|L2
+mh12CP-008,MER30|DNA|hAT-Charlie
+mh12HYP-31,(AG)n|Simple_repeat
+mh12KK-043,L2b|LINE|L2
+mh12KK-199.v1,MIR1_Amn|SINE|MIR
+mh12KK-199.v2,MIR1_Amn|SINE|MIR
+mh12KK-201.v3,AluSz|SINE|Alu
+mh12KK-202.v1,L2c|LINE|L2
+mh12KK-202.v2,L2c|LINE|L2
+mh12KK-202.v3,L2c|LINE|L2
+mh12KK-209,MIR|SINE
+mh12SCUZJ-0000863,AluY|SINE|Alu
+mh12SCUZJ-0004616,AluSg|SINE|Alu;AluJr|SINE|Alu
+mh12SCUZJ-0013071.v1,MIRb|SINE|MIR
+mh12SCUZJ-0055572,AluJr|SINE|Alu;(AT)n|Simple_repeat;(TA)n|Simple_repeat;AluSx4|SINE|Alu
+mh12SCUZJ-0091823,(TTTA)n|Simple_repeat;AluY|SINE|Alu
+mh12SCUZJ-0109036,AluSx1|SINE|Alu;MLT1B|LTR|ERVL-MaLR
+mh12SCUZJ-0127578,MER92C|LTR|ERV1;G-rich|Low_complexity;AluYj4|SINE|Alu;(TTTAT)n|Simple_repeat;AluYj4|SINE|Alu
+mh12SCUZJ-0169431,AluSx1|SINE|Alu;(ATC)n|Simple_repeat
+mh12SCUZJ-0181516,AluSc8|SINE|Alu
+mh12SCUZJ-0212703,(AAAT)n|Simple_repeat;L1MDa|LINE|L1
+mh12SCUZJ-0223636.v1,THE1B|LTR|ERVL-MaLR;L2c|LINE|L2
+mh12SCUZJ-0223636.v2,THE1B|LTR|ERVL-MaLR;L2c|LINE|L2
+mh12SCUZJ-0223636.v3,THE1B|LTR|ERVL-MaLR
+mh12SCUZJ-0234264,L2a|LINE|L2;(TA)n|Simple_repeat;L2a|LINE|L2;AluJr|SINE|Alu
+mh12SCUZJ-0253825,AluSz|SINE|Alu;(AT)n|Simple_repeat;(TG)n|Simple_repeat;(AT)n|Simple_repeat;(TG)n|Simple_repeat;(AT)n|Simple_repeat
+mh12SCUZJ-0265665.v1,(TATA)n|Simple_repeat
+mh12SCUZJ-0265665.v2,(TATA)n|Simple_repeat
+mh12SCUZJ-0284369,L1MA4A|LINE|L1;(TA)n|Simple_repeat;(TG)n|Simple_repeat;(TA)n|Simple_repeat;L1MA4A|LINE|L1
+mh12SCUZJ-0285704,MER70-int|LTR|ERVL;MER70-int|LTR|ERVL
+mh12SCUZJ-0308915,L1PA16|LINE|L1;(TAAAA)n|Simple_repeat;AluJo|SINE|Alu
+mh12SCUZJ-0311722,L2b|LINE|L2
+mh12SCUZJ-0326486.v1,AluSz|SINE|Alu
+mh12SCUZJ-0326486.v2,AluSz|SINE|Alu;(TCCTC)n|Simple_repeat
+mh12SCUZJ-0331644,(CACACC)n|Simple_repeat
+mh12SCUZJ-0345285,(TTC)n|Simple_repeat;AluJo|SINE|Alu
+mh12SCUZJ-0347622,AluYg6|SINE|Alu;MLT1I|LTR|ERVL-MaLR
+mh12SCUZJ-0363998,SVA_B|Retroposon|SVA
+mh12SCUZJ-0364164,Tigger3c|DNA|TcMar-Tigger;AluY|SINE|Alu
+mh12SCUZJ-0374276,AluY|SINE|Alu;Charlie1a|DNA|hAT-Charlie
+mh12SCUZJ-0382800,MLT1D|LTR|ERVL-MaLR
+mh12SCUZJ-0396248,L1PB4|LINE|L1;AluSx3|SINE|Alu
+mh12SCUZJ-0420557,L2b|LINE|L2
+mh12SCUZJ-0423152,MER47A|DNA|TcMar-Tigger
+mh12SCUZJ-0429356.v1,L1MD2|LINE|L1;(TA)n|Simple_repeat;MIRc|SINE|MIR
+mh12SCUZJ-0429356.v2,(TA)n|Simple_repeat;MIRc|SINE|MIR
+mh12USC-12qB,MIRc|SINE|MIR
+mh12WL-004,(CCCAC)n|Simple_repeat
+mh12WL-005.v2,MIRc|SINE|MIR
+mh12WL-011.v1,L2a|LINE|L2
+mh12WL-018.v2,MIR|SINE
+mh12WL-032,L1ME4b|LINE|L1
+mh12WL-045,(CA)n|Simple_repeat
+mh12WL-053,Charlie19a|DNA|hAT-Charlie
+mh12WL-056,(A)n|Simple_repeat
+mh12WL-059,(GCATG)n|Simple_repeat
+mh12ZHA-008,MER61-int|LTR|ERV1
+mh13CP-008,L1PA4|LINE|L1
+mh13CP-010,AluJr|SINE|Alu
+mh13FHL-002,L2b|LINE|L2
+mh13KK-218.v1,MER21C|LTR|ERVL
+mh13KK-218.v2,AluSq|SINE|Alu;MER21C|LTR|ERVL
+mh13KK-218.v3,MER21C|LTR|ERVL
+mh13KK-218.v4,MER21C|LTR|ERVL
+mh13KK-218.v5,AluSq|SINE|Alu;MER21C|LTR|ERVL
+mh13KK-218.v6,MER21C|LTR|ERVL
+mh13KK-221.v1,THE1B|LTR|ERVL-MaLR
+mh13KK-221.v2,THE1B|LTR|ERVL-MaLR
+mh13KK-222.v1,(ATAATTT)n|Simple_repeat;MER20|DNA|hAT-Charlie
+mh13KK-222.v2,(ATAATTT)n|Simple_repeat;MER20|DNA|hAT-Charlie
+mh13LV-10.v1,AluSg|SINE|Alu
+mh13LV-10.v2,AluSg|SINE|Alu
+mh13LW-33,L1PB1|LINE|L1
+mh13LW-34,MLT1F2|LTR|ERVL-MaLR
+mh13SCUZJ-0013697,L1MB2|LINE|L1
+mh13SCUZJ-0022455,(CA)n|Simple_repeat
+mh13SCUZJ-0036837,L1MA4|LINE|L1;(AT)n|Simple_repeat;AluY|SINE|Alu
+mh13SCUZJ-0039899,MLT1B|LTR|ERVL-MaLR
+mh13SCUZJ-0045733,AluY|SINE|Alu
+mh13SCUZJ-0049124,AluSz6|SINE|Alu;AluSx|SINE|Alu
+mh13SCUZJ-0064820,L1MA8|LINE|L1;AluY|SINE|Alu
+mh13SCUZJ-0098743,AluY|SINE|Alu;Charlie4a|DNA|hAT-Charlie
+mh13SCUZJ-0108086,SVA_F|Retroposon|SVA
+mh13SCUZJ-0115873,AluSz|SINE|Alu
+mh13SCUZJ-0139792,LTR78|LTR|ERV1
+mh13SCUZJ-0192805,L1PB4|LINE|L1;(TA)n|Simple_repeat;(AC)n|Simple_repeat;(TA)n|Simple_repeat
+mh13SCUZJ-0205653,L1M4b|LINE|L1;L1MDa|LINE|L1
+mh13SCUZJ-0227626.v1,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh13SCUZJ-0227626.v2,HERVH-int|LTR|ERV1
+mh13SCUZJ-0230728,AluJb|SINE|Alu
+mh13SCUZJ-0255446.v1,AluSq2|SINE|Alu
+mh13SCUZJ-0255446.v2,AluSq2|SINE|Alu
+mh13SCUZJ-0279353,MER5A|DNA|hAT-Charlie;MER5A|DNA|hAT-Charlie
+mh13SCUZJ-0285465,AluY|SINE|Alu
+mh13SCUZJ-0297911,MLT1C|LTR|ERVL-MaLR
+mh13SCUZJ-0304208,MIRc|SINE|MIR;(TC)n|Simple_repeat;(AT)n|Simple_repeat
+mh13SCUZJ-0312967,AluY|SINE|Alu
+mh13SCUZJ-0333799,LTR5A|LTR|ERVK
+mh13SHY-002,Tigger15a|DNA|TcMar-Tigger;(TTGG)n|Simple_repeat
+mh13WL-027,MamTip3|DNA|hAT-Tip100
+mh13WL-033,(AT)n|Simple_repeat
+mh13WL-037.v1,L2|LINE
+mh13WL-037.v2,L2|LINE
+mh13WL-043,(ATTG)n|Simple_repeat
+mh13WL-044,MER52C|LTR|ERV1
+mh13WL-045,UCON100|DNA?
+mh13ZHA-002,THE1D|LTR|ERVL-MaLR
+mh14CP-003,L1MA2|LINE|L1
+mh14CP-004,L1PA7|LINE|L1
+mh14KK-101,L1MEh|LINE|L1
+mh14KK-227.v1,L2c|LINE|L2
+mh14KK-227.v2,L2c|LINE|L2
+mh14KK-227.v3,L2c|LINE|L2;L2c|LINE|L2
+mh14KK-227.v4,L2c|LINE|L2
+mh14LW-36,THE1A|LTR|ERVL-MaLR
+mh14PK-72639,U6|snRNA
+mh14SCUZJ-0004208,LTR5A|LTR|ERVK
+mh14SCUZJ-0022537,AluJo|SINE|Alu;AluJo|SINE|Alu
+mh14SCUZJ-0022925,AluY|SINE|Alu
+mh14SCUZJ-0040957.v1,AluY|SINE|Alu
+mh14SCUZJ-0040957.v2,AluY|SINE|Alu
+mh14SCUZJ-0045150,MIR|SINE
+mh14SCUZJ-0050462,SVA_F|Retroposon|SVA
+mh14SCUZJ-0072608,L1PA17|LINE|L1
+mh14SCUZJ-0080108,L1PA3|LINE|L1
+mh14SCUZJ-0080546,L1PA3|LINE|L1
+mh14SCUZJ-0096560,L1M2|LINE|L1;L1MEh|LINE|L1
+mh14SCUZJ-0105332.v1,AluYk3|SINE|Alu
+mh14SCUZJ-0105332.v2,AluYk3|SINE|Alu
+mh14SCUZJ-0167395,MER5A|DNA|hAT-Charlie;(ATTT)n|Simple_repeat;AluYc|SINE|Alu
+mh14SCUZJ-0172480,MLT1I|LTR|ERVL-MaLR
+mh14SCUZJ-0187337,MLT1A|LTR|ERVL-MaLR;L1MC5|LINE|L1;L1MC5|LINE|L1;(TA)n|Simple_repeat;L1MC5|LINE|L1
+mh14SCUZJ-0215156,MLT1C|LTR|ERVL-MaLR;(TA)n|Simple_repeat;(AC)n|Simple_repeat
+mh14SCUZJ-0229993,MER63B|DNA|hAT-Blackjack;(TTCC)n|Simple_repeat;AluSx1|SINE|Alu
+mh14SCUZJ-0235514,L1M5|LINE|L1;(CG)n|Simple_repeat;(CA)n|Simple_repeat
+mh14SCUZJ-0250160,AluY|SINE|Alu;L1MB3|LINE|L1;L1MA7|LINE|L1
+mh14SCUZJ-0253455,MIRb|SINE|MIR;AluSc8|SINE|Alu
+mh14SCUZJ-0275315,L1MA4A|LINE|L1;LTR71B|LTR|ERV1
+mh14SHY-001,MIRb|SINE|MIR;L1P4|LINE|L1;L1PA16|LINE|L1
+mh14SHY-002.v1,(TAAT)n|Simple_repeat
+mh14USC-14qD,LTR33A_|LTR|ERVL
+mh14WL-003.v2,L2a|LINE|L2
+mh14WL-005.v1,MIR1_Amn|SINE|MIR;MLT1O|LTR|ERVL-MaLR
+mh14WL-005.v2,MLT1O|LTR|ERVL-MaLR;L1MB7|LINE|L1
+mh14WL-012,L1ME3Cz|LINE|L1
+mh14WL-018,(TTAT)n|Simple_repeat;(TTTATTT)n|Simple_repeat
+mh14WL-030.v2,MIR|SINE
+mh14WL-032,MamRTE1|LINE|RTE-BovB
+mh14WL-033,MIRb|SINE|MIR
+mh14WL-036.v2,MIRb|SINE|MIR
+mh14WL-036.v3,MIRb|SINE|MIR
+mh14WL-041,(TCCT)n|Simple_repeat
+mh14ZHA-003,MLT2B1|LTR|ERVL
+mh14ZHA-006,L2|LINE
+mh15CP-001,(AT)n|Simple_repeat;AluJo|SINE|Alu
+mh15CP-003,L1MC4|LINE|L1;L1PA10|LINE|L1
+mh15CP-004,A-rich|Low_complexity
+mh15KK-104,L2c|LINE|L2
+mh15LW-39,MLT1A|LTR|ERVL-MaLR
+mh15PK-75170,LTR12_|LTR|ERV1
+mh15SCUZJ-0008964,MLT1F2|LTR|ERVL-MaLR;L1MD3|LINE|L1;L1ME3B|LINE|L1
+mh15SCUZJ-0023436,MLT1E2|LTR|ERVL-MaLR
+mh15SCUZJ-0026421,L1PA10|LINE|L1
+mh15SCUZJ-0051888,AluJb|SINE|Alu;L1MA2|LINE|L1;LTR2B|LTR|ERV1
+mh15SCUZJ-0082880,L1ME2|LINE|L1
+mh15SCUZJ-0090980,SVA_D|Retroposon|SVA
+mh15SCUZJ-0094561,AluSc8|SINE|Alu;MER41B|LTR|ERV1;AluSc8|SINE|Alu
+mh15SCUZJ-0124652,MIRb|SINE|MIR;L3|LINE|CR1
+mh15SCUZJ-0170974,AluY|SINE|Alu
+mh15SCUZJ-0171138,(GGA)n|Simple_repeat;(CCTGAGCTG)n|Simple_repeat
+mh15SCUZJ-0181927,L1PA3|LINE|L1
+mh15SCUZJ-0193223,AluJo|SINE|Alu
+mh15SCUZJ-0204760.v1,THE1B|LTR|ERVL-MaLR;AluJr4|SINE|Alu
+mh15SCUZJ-0204760.v2,THE1B|LTR|ERVL-MaLR;AluJr4|SINE|Alu
+mh15SCUZJ-0214236,MIRc|SINE|MIR;(T)n|Simple_repeat
+mh15SCUZJ-0216291,LTR5A|LTR|ERVK
+mh15SCUZJ-0230315,L1PA12|LINE|L1;MER20|DNA|hAT-Charlie;AluY|SINE|Alu
+mh15SCUZJ-0231729,L1MEd|LINE|L1;AluY|SINE|Alu
+mh15SCUZJ-0236854,THE1B|LTR|ERVL-MaLR;L1MC5|LINE|L1
+mh15SCUZJ-0244385,HERVH-int|LTR|ERV1;HERVH-int|LTR|ERV1
+mh15SCUZJ-0251770.v1,AluY|SINE|Alu;L1ME3A|LINE|L1
+mh15SCUZJ-0251770.v2,AluY|SINE|Alu;L1ME3A|LINE|L1
+mh15SCUZJ-0255931.v1,AluYa5|SINE|Alu
+mh15SCUZJ-0255931.v2,AluYa5|SINE|Alu
+mh15SCUZJ-0267777,AluY|SINE|Alu
+mh15SHY-001.v1,L2c|LINE|L2
+mh15SHY-001.v3,L2c|LINE|L2
+mh15SHY-004.v1,L2c|LINE|L2
+mh15SHY-004.v2,L2c|LINE|L2
+mh15SHY-004.v3,L2c|LINE|L2;L2c|LINE|L2
+mh15USC-15qA,L2|LINE
+mh15USC-15qB,LTR104_Mam|LTR|Gypsy
+mh15USC-15qC,L1ME4a|LINE|L1
+mh15WL-013,(AC)n|Simple_repeat
+mh15WL-017,L2c|LINE|L2
+mh15WL-022,L2a|LINE|L2
+mh15WL-028,G-rich|Low_complexity
+mh15WL-033,A-rich|Low_complexity
+mh15WL-034,MIRc|SINE|MIR
+mh15WL-038,(ATTC)n|Simple_repeat
+mh15WL-040,MER115|DNA|hAT-Tip100
+mh15WL-041,LTR88b|LTR|Gypsy?
+mh15ZBF-001,L1MC4a|LINE|L1
+mh16KK-049.v1,L1MD2|LINE|L1
+mh16KK-049.v2,L1MD2|LINE|L1
+mh16KK-049.v3,L1MD2|LINE|L1
+mh16KK-049.v4,L1MD2|LINE|L1
+mh16KK-061,L1ME2|LINE|L1
+mh16KK-255.v1,L1ME4b|LINE|L1
+mh16KK-255.v2,L1ME4b|LINE|L1
+mh16KK-255.v3,L1ME4b|LINE|L1
+mh16KK-255.v4,L1ME4b|LINE|L1
+mh16KK-259.v1,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v2,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v3,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v4,AluY|SINE|Alu;L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v5,L1ME3|LINE|L1;L2b|LINE|L2
+mh16KK-259.v6,L1ME3|LINE|L1;L2b|LINE|L2
+mh16LW-40,AluSx|SINE|Alu;(AAT)n|Simple_repeat;AluSx|SINE|Alu
+mh16LW-41,L1P4|LINE|L1;SVA_D|Retroposon|SVA
+mh16PK-83362,LTR1A1|LTR|ERV1
+mh16SCUZJ-0001338,AluY|SINE|Alu;AluY|SINE|Alu
+mh16SCUZJ-0020639,AluY|SINE|Alu
+mh16SCUZJ-0025649,MIRb|SINE|MIR
+mh16SCUZJ-0054196.v1,HERVH-int|LTR|ERV1
+mh16SCUZJ-0054196.v2,HERVH-int|LTR|ERV1
+mh16SCUZJ-0073152,AluSp|SINE|Alu
+mh16SCUZJ-0076203,MIR|SINE;LTR5A|LTR|ERVK
+mh16SCUZJ-0085132,L1MD3|LINE|L1;MLT1D|LTR|ERVL-MaLR
+mh16SCUZJ-0095877,AluSx|SINE|Alu;(AC)n|Simple_repeat;(AG)n|Simple_repeat
+mh16SCUZJ-0109918,AluJb|SINE|Alu
+mh16SCUZJ-0113007,AluSq2|SINE|Alu;L2b|LINE|L2
+mh16SCUZJ-0162779,MER74A|LTR|ERVL;MIR3|SINE|MIR
+mh16SCUZJ-0168034,L1ME4b|LINE|L1;L1MC4a|LINE|L1
+mh16SCUZJ-0175150,(TA)n|Simple_repeat
+mh16SCUZJ-0177628,L1PA3|LINE|L1
+mh16SCUZJ-0181739,L1PB4|LINE|L1
+mh16SCUZJ-0184423,MER119|DNA|hAT-Charlie
+mh16SCUZJ-0187537,L1MA9|LINE|L1
+mh16SCUZJ-0196761,L1PB1|LINE|L1;(GT)n|Simple_repeat;(TA)n|Simple_repeat;L1PB1|LINE|L1
+mh16SCUZJ-0206613,(TA)n|Simple_repeat;AluSx1|SINE|Alu
+mh16SCUZJ-0227793,AluSg7|SINE|Alu
+mh16SCUZJ-0228342,MER63A|DNA|hAT-Blackjack
+mh16SCUZJ-0243523,MLT1J|LTR|ERVL-MaLR;(T)n|Simple_repeat
+mh16SCUZJ-0250647,MLT1B|LTR|ERVL-MaLR;MIRb|SINE|MIR
+mh16SCUZJ-0260785,AluJo|SINE|Alu;AluSx|SINE|Alu
+mh16SCUZJ-0262867,AluSz|SINE|Alu
+mh16SCUZJ-0289826,Kanga2_a|DNA|TcMar-Tc2
+mh16SCUZJ-0296189,AluY|SINE|Alu;L1MC4|LINE|L1
+mh16SCUZJ-0309391,L2b|LINE|L2
+mh16SCUZJ-0313802,L2b|LINE|L2;THE1A|LTR|ERVL-MaLR;Alu|SINE;(T)n|Simple_repeat
+mh16SCUZJ-0328951.v2,AluJr4|SINE|Alu;AluJo|SINE|Alu
+mh16SHY-001,AluSg4|SINE|Alu
+mh16SHY-002,L2a|LINE|L2
+mh16SHY-003,LTR16C|LTR|ERVL
+mh16USC-16pA,MIRc|SINE|MIR
+mh16WL-003.v1,MIRc|SINE|MIR
+mh16WL-003.v2,MIRc|SINE|MIR
+mh16WL-009.v1,L2|LINE
+mh16WL-009.v2,L2|LINE
+mh16WL-011,L1M5|LINE|L1
+mh16WL-012.v1,MIRb|SINE|MIR
+mh16WL-012.v2,MIRb|SINE|MIR
+mh16WL-013.v1,Arthur1C|DNA|hAT-Tip100
+mh16WL-013.v2,Arthur1C|DNA|hAT-Tip100
+mh16WL-021,MER3|DNA|hAT-Charlie;(TTTCC)n|Simple_repeat
+mh16WL-030,MIRb|SINE|MIR
+mh16WL-032,MIR|SINE
+mh16WL-035,MIRc|SINE|MIR
+mh16WL-039,AluSc|SINE|Alu
+mh16WL-040.v2,L2a|LINE|L2;LTR7B|LTR|ERV1
+mh16WL-040.v3,L2a|LINE|L2
+mh16WL-047,MER53|DNA|hAT;MIRc|SINE|MIR
+mh16WL-048,MER5B|DNA|hAT-Charlie;L2a|LINE|L2
+mh16WL-049,LTR52|LTR|ERVL;L1PA8|LINE|L1
+mh16ZHA-003,MLT1I|LTR|ERVL-MaLR;AluJb|SINE|Alu
+mh16ZHA-004,AluY|SINE|Alu
+mh17CP-005,AluSq|SINE|Alu
+mh17CP-006,L1ME1|LINE|L1
+mh17KK-012.v1,MER5A1|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie
+mh17KK-012.v2,MER5A1|DNA|hAT-Charlie;MER5B|DNA|hAT-Charlie
+mh17KK-013.v1,(CA)n|Simple_repeat
+mh17KK-013.v2,(CA)n|Simple_repeat
+mh17KK-077,MER20|DNA|hAT-Charlie
+mh17KK-110,MER5A1|DNA|hAT-Charlie
+mh17KK-278.v1,L1MEh|LINE|L1
+mh17KK-278.v2,L1MEh|LINE|L1
+mh17LW-44,LTR13|LTR|ERVK
+mh17SCUZJ-0003983,L2c|LINE|L2
+mh17SCUZJ-0013421,AluSz|SINE|Alu
+mh17SCUZJ-0017214.v1,AluSg|SINE|Alu;L1ME3Cz|LINE|L1;AluY|SINE|Alu
+mh17SCUZJ-0017214.v2,AluY|SINE|Alu;L1ME3Cz|LINE|L1
+mh17SCUZJ-0025813,AluSc|SINE|Alu;L3|LINE|CR1
+mh17SCUZJ-0044896,AluJo|SINE|Alu;MLT1A0|LTR|ERVL-MaLR
+mh17SCUZJ-0056311,L1M1|LINE|L1
+mh17SCUZJ-0068277,L1MC1|LINE|L1
+mh17SCUZJ-0069199,AluJo|SINE|Alu;A-rich|Low_complexity
+mh17SCUZJ-0090327.v1,ALR/Alpha|Satellite|centr
+mh17SCUZJ-0090327.v2,ALR/Alpha|Satellite|centr
+mh17SCUZJ-0114315,L1MA5A|LINE|L1;AluJb|SINE|Alu
+mh17SCUZJ-0115879,(T)n|Simple_repeat;AluJr|SINE|Alu;AluSx1|SINE|Alu
+mh17SCUZJ-0116654,A-rich|Low_complexity
+mh17SCUZJ-0126774,(TGG)n|Simple_repeat
+mh17SCUZJ-0133238,L1MA5A|LINE|L1;AluSx|SINE|Alu
+mh17SCUZJ-0135202,(TGCA)n|Simple_repeat;(ATAC)n|Simple_repeat
+mh17SCUZJ-0137941.v1,AluSx3|SINE|Alu;HAL1b|LINE|L1
+mh17SCUZJ-0137941.v2,AluSx3|SINE|Alu;HAL1b|LINE|L1
+mh17SCUZJ-0176838,AluY|SINE|Alu
+mh17SCUZJ-0197814,L2c|LINE|L2
+mh17SCUZJ-0199582,Charlie7|DNA|hAT-Charlie;AluY|SINE|Alu
+mh17SCUZJ-0200979,AluY|SINE|Alu
+mh17SCUZJ-0222289,FLAM_C|SINE|Alu;L1MD2|LINE|L1
+mh17SCUZJ-0233057,AluY|SINE|Alu;(AT)n|Simple_repeat;AluJb|SINE|Alu;AluSz|SINE|Alu
+mh17USC-17qA,L2b|LINE|L2
+mh17WL-008.v1,(GCACTA)n|Simple_repeat
+mh17WL-008.v2,(GCACTA)n|Simple_repeat
+mh17WL-008.v3,(GCACTA)n|Simple_repeat
+mh17WL-009.v1,MLT1K|LTR|ERVL-MaLR
+mh17WL-009.v2,MLT1K|LTR|ERVL-MaLR
+mh17WL-015.v2,MIR|SINE
+mh17WL-019,HERVK-int|LTR|ERVK
+mh17WL-027,HAL1b|LINE|L1
+mh17WL-030.v1,MER33|DNA|hAT-Charlie
+mh17WL-030.v2,MER33|DNA|hAT-Charlie
+mh17WL-035,MIRb|SINE|MIR
+mh17WL-038,AluSq|SINE|Alu
+mh17ZHA-001,AluJb|SINE|Alu
+mh18CP-003,L1M5|LINE|L1
+mh18CP-005,L1ME4b|LINE|L1
+mh18FHL-004.v1,AluSg|SINE|Alu;L1M8|LINE|L1
+mh18FHL-004.v2,L1M8|LINE|L1;AluSg|SINE|Alu;L1M8|LINE|L1
+mh18KK-293.v1,UCON1|Unknown
+mh18KK-293.v2,UCON1|Unknown
+mh18LW-45,BSR/Beta|Satellite
+mh18LW-47,L1MA9|LINE|L1;AluSc8|SINE|Alu
+mh18PK-87558,L2a|LINE|L2;L1PA15|LINE|L1
+mh18SCUZJ-0002652,AluSx|SINE|Alu;A-rich|Low_complexity
+mh18SCUZJ-0003488,AluY|SINE|Alu
+mh18SCUZJ-0009510,(TA)n|Simple_repeat
+mh18SCUZJ-0011531,ERV3-16A3_LTR|LTR|ERVL;ERV3-16A3_LTR|LTR|ERVL
+mh18SCUZJ-0015713,AluY|SINE|Alu
+mh18SCUZJ-0020879.v1,L1HS|LINE|L1;L1ME1|LINE|L1
+mh18SCUZJ-0020879.v2,L1HS|LINE|L1;L1ME1|LINE|L1
+mh18SCUZJ-0040982,LTR12C|LTR|ERV1
+mh18SCUZJ-0042322,L1MC4|LINE|L1;AluSc|SINE|Alu;(AAAC)n|Simple_repeat;AluSc|SINE|Alu;L1MC4|LINE|L1
+mh18SCUZJ-0058695,MLT1F2|LTR|ERVL-MaLR;AluY|SINE|Alu
+mh18SCUZJ-0064707.v1,MSTA|LTR|ERVL-MaLR;G-rich|Low_complexity;THE1D-int|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR
+mh18SCUZJ-0064707.v2,G-rich|Low_complexity;THE1D-int|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR;MSTA|LTR|ERVL-MaLR
+mh18SCUZJ-0070441,AluJr|SINE|Alu
+mh18SCUZJ-0076547,L1PA2|LINE|L1
+mh18SCUZJ-0078455,(TA)n|Simple_repeat
+mh18SCUZJ-0086519,(TA)n|Simple_repeat;(AG)n|Simple_repeat
+mh18SCUZJ-0091845.v1,(ATAATAT)n|Simple_repeat
+mh18SCUZJ-0091845.v2,(ATAATAT)n|Simple_repeat
+mh18SCUZJ-0106007,AluSc8|SINE|Alu
+mh18SCUZJ-0117020,L1PA4|LINE|L1
+mh18SCUZJ-0119570,(AG)n|Simple_repeat
+mh18SCUZJ-0133911,AluY|SINE|Alu;MER39B|LTR|ERV1
+mh18SCUZJ-0139814,MIRb|SINE|MIR;(GTTTTT)n|Simple_repeat
+mh18SCUZJ-0147265,L2a|LINE|L2
+mh18SCUZJ-0189739,L1MA9|LINE|L1;(TATC)n|Simple_repeat
+mh18SCUZJ-0194030,AluY|SINE|Alu
+mh18SCUZJ-0198187,(TCCT)n|Simple_repeat
+mh18SCUZJ-0212405,L1M2|LINE|L1;(AT)n|Simple_repeat;(AC)n|Simple_repeat;THE1B|LTR|ERVL-MaLR
+mh18SCUZJ-0220161,THE1B|LTR|ERVL-MaLR
+mh18SCUZJ-0233898,L1MC5a|LINE|L1;A-rich|Low_complexity
+mh18SCUZJ-0236206,Kanga1|DNA|TcMar-Tc2;AluY|SINE|Alu;Kanga1|DNA|TcMar-Tc2
+mh18SCUZJ-0246384,AluY|SINE|Alu;L1P2|LINE|L1;AluY|SINE|Alu
+mh18SCUZJ-0246988,MIR3|SINE|MIR;AluY|SINE|Alu
+mh18SCUZJ-0264631,AluY|SINE|Alu;L1MD|LINE|L1;G-rich|Low_complexity
+mh18SCUZJ-0265416,MIRb|SINE|MIR
+mh18SHY-001,L1MA10|LINE|L1;MER49|LTR|ERV1
+mh18USC-18pA,HAL1|LINE|L1
+mh18USC-18qB,LTR33|LTR|ERVL
+mh18USC-18qC,MLT1A0|LTR|ERVL-MaLR
+mh18WL-002,AluSg4|SINE|Alu
+mh18WL-014,AluJb|SINE|Alu
+mh18WL-020,L2a|LINE|L2
+mh18WL-022.v1,(AG)n|Simple_repeat;(AT)n|Simple_repeat
+mh18WL-022.v2,(AG)n|Simple_repeat;(AT)n|Simple_repeat
+mh18WL-029,(TG)n|Simple_repeat
+mh18WL-031,L2c|LINE|L2
+mh18ZBF-001,AluY|SINE|Alu
+mh18ZBF-002,AluY|SINE|Alu
+mh18ZHA-004,THE1D-int|LTR|ERVL-MaLR
+mh19CP-007,AluSq2|SINE|Alu
+mh19KK-300,Zaphod2|DNA|hAT-Tip100;MER33|DNA|hAT-Charlie
+mh19KK-301,MLT1L|LTR|ERVL-MaLR
+mh19SCUZJ-0001326,MSTB|LTR|ERVL-MaLR;MSTB|LTR|ERVL-MaLR
+mh19SCUZJ-0007484,AluY|SINE|Alu
+mh19SCUZJ-0012120,AluY|SINE|Alu;AluSx|SINE|Alu
+mh19SCUZJ-0018130,AluSc|SINE|Alu;L1MB3|LINE|L1
+mh19SCUZJ-0019425,AluSc|SINE|Alu
+mh19SCUZJ-0022447,AluSg|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SCUZJ-0028962,HERVH-int|LTR|ERV1;AluY|SINE|Alu;HERVH-int|LTR|ERV1
+mh19SCUZJ-0039302,AluY|SINE|Alu;L1ME3G|LINE|L1
+mh19SCUZJ-0056108,(A)n|Simple_repeat;AluY|SINE|Alu
+mh19SCUZJ-0064306,AluY|SINE|Alu;(TA)n|Simple_repeat
+mh19SCUZJ-0081305,AluSx3|SINE|Alu;(TAAT)n|Simple_repeat;AluJr4|SINE|Alu
+mh19SCUZJ-0091391,AluSx4|SINE|Alu
+mh19SCUZJ-0119796,L1PA17|LINE|L1
+mh19SCUZJ-0121709,L1PA17|LINE|L1
+mh19SCUZJ-0137855,L1PA4|LINE|L1
+mh19SCUZJ-0146076,MER21C|LTR|ERVL
+mh19SCUZJ-0146592,MLT1B|LTR|ERVL-MaLR;(GTTT)n|Simple_repeat;AluY|SINE|Alu
+mh19SCUZJ-0164190,MIRb|SINE|MIR
+mh19SCUZJ-0195134,AluSx|SINE|Alu
+mh19SCUZJ-0212784,L2|LINE;(A)n|Simple_repeat
+mh19SCUZJ-0215538,AluY|SINE|Alu;AluSc8|SINE|Alu
+mh19SCUZJ-0227114,AluSg4|SINE|Alu;AluSx1|SINE|Alu
+mh19SCUZJ-0238255,(CACACT)n|Simple_repeat
+mh19SCUZJ-0249059.v1,MER20|DNA|hAT-Charlie;AluY|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SCUZJ-0249059.v2,AluY|SINE|Alu;MER20|DNA|hAT-Charlie
+mh19SHY-002,AluJo|SINE|Alu;L1ME3B|LINE|L1
+mh19USC-19pA,HERVIP10B3-int|LTR|ERV1
+mh19USC-19pB,L1MA8|LINE|L1
+mh19WL-024,G-rich|Low_complexity
+mh19WL-028,AluSz|SINE|Alu;(TAA)n|Simple_repeat;L1MC5|LINE|L1
+mh19ZHA-006,AluSx3|SINE|Alu
+mh19ZHA-009,L2|LINE
+mh20HYP-42,L1ME3Cz|LINE|L1
+mh20KK-035,L1ME4b|LINE|L1
+mh20KK-058.v1,MIR|SINE;MIRb|SINE|MIR
+mh20KK-058.v2,MIR|SINE;MIRb|SINE|MIR
+mh20KK-058.v3,MIR|SINE;MIRb|SINE|MIR
+mh20KK-059,(GGCAGAG)n|Simple_repeat
+mh20KK-306.v1,L2b|LINE|L2;L2a|LINE|L2
+mh20KK-306.v2,L2b|LINE|L2;L2a|LINE|L2
+mh20KK-307.v1,L5|LINE|RTE-X
+mh20KK-307.v2,L5|LINE|RTE-X
+mh20KK-307.v3,L5|LINE|RTE-X
+mh20LV-04.v1,LTR105_Mam|LTR|ERVL;AluSc|SINE|Alu;LTR105_Mam|LTR|ERVL
+mh20LV-04.v2,LTR105_Mam|LTR|ERVL;AluSc|SINE|Alu;LTR105_Mam|LTR|ERVL
+mh20LW-49,MSTB|LTR|ERVL-MaLR
+mh20SCUZJ-0000019,AluY|SINE|Alu
+mh20SCUZJ-0014987,AluY|SINE|Alu;L1MB7|LINE|L1
+mh20SCUZJ-0017470,AluJo|SINE|Alu
+mh20SCUZJ-0026528,L1MC4|LINE|L1
+mh20SCUZJ-0039966,MSTA|LTR|ERVL-MaLR;LTR16C|LTR|ERVL
+mh20SCUZJ-0056321,FRAM|SINE|Alu;AluY|SINE|Alu
+mh20SCUZJ-0059407,(TCACCC)n|Simple_repeat
+mh20SCUZJ-0118237,HERVH-int|LTR|ERV1
+mh20SCUZJ-0128552,L2a|LINE|L2
+mh20SCUZJ-0130299,L2b|LINE|L2;LTR33|LTR|ERVL
+mh20SCUZJ-0148996,AluY|SINE|Alu
+mh20SCUZJ-0159322,(TTTC)n|Simple_repeat;AluSx3|SINE|Alu
+mh20SCUZJ-0162160,G-rich|Low_complexity;G-rich|Low_complexity;MamGypLTR1b|LTR|Gypsy
+mh20SCUZJ-0175951,AluSz|SINE|Alu
+mh20SCUZJ-0176544,AluSg7|SINE|Alu;AluY|SINE|Alu
+mh20SCUZJ-0185153.v1,AluSc|SINE|Alu;HAL1M8|LINE|L1
+mh20SCUZJ-0185153.v2,AluSc|SINE|Alu;HAL1M8|LINE|L1
+mh20SHY-001,L1MEc|LINE|L1
+mh20SHY-002,AluSc|SINE|Alu;MLT1F1|LTR|ERVL-MaLR
+mh20USC-20pB,L2c|LINE|L2
+mh20USC-20qA,Tigger9b|DNA|TcMar-Tigger
+mh20WL-014,(CA)n|Simple_repeat
+mh20WL-018,MIRb|SINE|MIR
+mh20WL-022.v2,MIR|SINE
+mh20ZBF-001,MER63C|DNA|hAT-Blackjack
+mh21KK-313.v1,MLT1C|LTR|ERVL-MaLR
+mh21KK-313.v2,MLT1C|LTR|ERVL-MaLR
+mh21KK-313.v3,MLT1C|LTR|ERVL-MaLR
+mh21KK-315.v1,L1PA15-16|LINE|L1
+mh21KK-315.v2,L1PA15-16|LINE|L1
+mh21KK-315.v3,L1PA15-16|LINE|L1
+mh21KK-315.v4,L1PA15-16|LINE|L1
+mh21KK-315.v5,L1PA15-16|LINE|L1
+mh21KK-315.v6,L1PA15-16|LINE|L1
+mh21KK-316.v1,MamTip2|DNA|hAT-Tip100
+mh21KK-316.v2,MamTip2|DNA|hAT-Tip100
+mh21KK-316.v3,MamTip2|DNA|hAT-Tip100
+mh21KK-320.v1,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v2,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v3,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21KK-320.v5,MamRep1151|LTR?;AluJb|SINE|Alu
+mh21LW-50,ACRO1|Satellite|acro
+mh21SCUZJ-0002749,LTR6A|LTR|ERV1;MSTA|LTR|ERVL-MaLR;MSTA-int|LTR|ERVL-MaLR
+mh21SCUZJ-0003240,MSTA|LTR|ERVL-MaLR;THE1D-int|LTR|ERVL-MaLR
+mh21SCUZJ-0016493,HERVH-int|LTR|ERV1
+mh21SCUZJ-0027129,MIR|SINE;AluSc8|SINE|Alu
+mh21SCUZJ-0037017,MLT1D|LTR|ERVL-MaLR;L1MC3|LINE|L1
+mh21SCUZJ-0041429,L1ME3A|LINE|L1;L1MA4|LINE|L1
+mh21SCUZJ-0059376,LTR1D|LTR|ERV1;MER4D1|LTR|ERV1
+mh21SCUZJ-0071539,L1PB1|LINE|L1
+mh21SCUZJ-0080338,AluJb|SINE|Alu;(TC)n|Simple_repeat;(TA)n|Simple_repeat
+mh21SCUZJ-0093008.v1,AluY|SINE|Alu
+mh21SCUZJ-0093008.v2,AluY|SINE|Alu
+mh21SCUZJ-0100459.v1,L1PB1|LINE|L1
+mh21SCUZJ-0108570,MLT1C|LTR|ERVL-MaLR
+mh21SCUZJ-0117636,MIR|SINE;THE1C|LTR|ERVL-MaLR
+mh21SCUZJ-0125683,L1PB1|LINE|L1;L1ME1|LINE|L1
+mh21SCUZJ-0128230,AluY|SINE|Alu
+mh21SCUZJ-0132919,AluSq|SINE|Alu
+mh21USC-21qB,L1PA13|LINE|L1
+mh21WL-019,MSTD|LTR|ERVL-MaLR
+mh22PK-104638,MIRc|SINE|MIR
+mh22SCUZJ-0000304,(ATCGAATGGA)n|Simple_repeat;(GGAAT)n|Simple_repeat;(ATCGAATGGA)n|Simple_repeat;(GGAAT)n|Simple_repeat
+mh22SCUZJ-0002299,AluJr|SINE|Alu
+mh22SCUZJ-0012907,AluSc|SINE|Alu;L1M2|LINE|L1;L1M4|LINE|L1
+mh22SCUZJ-0021077.v1,AluY|SINE|Alu;L1MEd|LINE|L1
+mh22SCUZJ-0021077.v2,AluY|SINE|Alu;L1MEd|LINE|L1
+mh22SCUZJ-0033378,ERVL-E-int|LTR|ERVL
+mh22SCUZJ-0043764,AluYk4|SINE|Alu;L1MB2|LINE|L1
+mh22SCUZJ-0056582,(CTCT)n|Simple_repeat
+mh22SCUZJ-0107341,MLT1I|LTR|ERVL-MaLR;MIR|SINE;AluY|SINE|Alu
+mh22SCUZJ-0135192,L1MCb|LINE|L1;AluY|SINE|Alu
+mh22SCUZJ-0146198,AluY|SINE|Alu;LTR87|LTR|ERVL?
+mh22USC-22qB.v1,L1ME3A|LINE|L1
+mh22USC-22qB.v2,L1ME3A|LINE|L1
+mh22USC-22qB.v3,L1ME3A|LINE|L1
+mh22WL-006.v2,MLT1K|LTR|ERVL-MaLR
+mh22WL-006.v3,MLT1K|LTR|ERVL-MaLR
+mh22WL-007.v1,(CA)n|Simple_repeat
+mh22WL-007.v2,(CA)n|Simple_repeat
+mh22WL-015,LTR8|LTR|ERV1;LTR8|LTR|ERV1;LTR8|LTR|ERV1
+mh22ZHA-003,AluY|SINE|Alu
diff --git a/microhapdb/tables.py b/microhapdb/tables.py
index e60189e8..e2e81b1a 100644
--- a/microhapdb/tables.py
+++ b/microhapdb/tables.py
@@ -35,6 +35,7 @@ def compile_variant_map(markers):
 merged = read_table("merged.csv")
 populations = read_table("population.csv")
 frequencies = read_table("frequency.csv.gz")
+repeats = read_table("repeats.csv").set_index("Marker")
 indels = read_table("indels.csv")
 variantmap = compile_variant_map(markers)
 hg38file = resource_filename("microhapdb", "data/hg38.fasta")
diff --git a/notebooks/repeat-check.ipynb b/notebooks/repeat-check.ipynb
new file mode 100644
index 00000000..878de22c
--- /dev/null
+++ b/notebooks/repeat-check.ipynb
@@ -0,0 +1,994 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "83f771c9-fdd5-407b-87fd-57b8cc61cbf4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "import microhapdb\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "from tqdm.notebook import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "497fc844-f773-478f-a60a-31f68241cc30",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_ucsc_rmsk_track(path):\n",
+    "    header = [\n",
+    "        \"bin\", \"swScore\", \"milliDiv\", \"milliDel\", \"milliIns\", \"genoName\", \"genoStart\", \"genoEnd\", \"genoLeft\",\n",
+    "        \"strand\", \"repName\", \"repClass\", \"repFamily\", \"repStart\", \"repEnd\", \"repLeft\", \"id\"\n",
+    "    ]\n",
+    "    table = pd.read_csv(path, sep=\"\\t\", names=header)\n",
+    "    return table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "93c97255-e2a6-4034-941c-ad5f4c154beb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def flag_repetitive_markers(markers, rmsk_table, delta=0):\n",
+    "    for marker in markers:\n",
+    "        start = marker.start - delta\n",
+    "        end = marker.end + delta\n",
+    "        overlap = rmsk_table[(rmsk_table.genoName == marker.chrom) & (rmsk_table.genoEnd > start) & (rmsk_table.genoStart < end)]\n",
+    "        if len(overlap) == 0:\n",
+    "            yield marker.name, None\n",
+    "        else:\n",
+    "            repeats = list()\n",
+    "            for i, repeat in overlap.iterrows():\n",
+    "                annot = f\"{repeat.repName}|{repeat.repClass}\"\n",
+    "                if repeat.repFamily != repeat.repClass and repeat.repFamily != repeat.repName:\n",
+    "                    annot += f\"|{repeat.repFamily}\"\n",
+    "                repeats.append(annot)\n",
+    "            annots = \",\".join(repeats)\n",
+    "            yield marker.name, annots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "e19d4cf9-176e-46fc-b423-4036481d4427",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 7.43 s, sys: 1.08 s, total: 8.51 s\n",
+      "Wall time: 8.51 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "rmsk = load_ucsc_rmsk_track(\"rmsk.txt.gz\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "8d8dfca0-9262-4aa9-a3cd-99b9f41ddb37",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3a2ae82ffe334e38868ffec97bfcb698",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3053 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "markers = list(microhapdb.Marker.objectify(microhapdb.markers))\n",
+    "rep_markers = list(tqdm(flag_repetitive_markers(markers, rmsk, delta=25), total=len(markers)))\n",
+    "rep_markers = [(markerid, annot) for markerid, annot in rep_markers if annot is not None]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "89ab5b03-2b6b-4c5d-8194-bc75d64b0506",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1380"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(rep_markers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "435447b7-ecba-4ecb-918b-f7a98ed5aa52",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[\"mh01LW-3\", \"AluJo|SINE|Alu,MIRc|SINE|MIR\"], [\"mh01SCUZJ-0000740\", \"AluY|SINE|Alu\"], [\"mh01WL-097.v2\", \"(CTTACACATG)n|Simple_repeat\"], [\"mh01SCUZJ-0016447\", \"MER41D|LTR|ERV1,L1MC1|LINE|L1,THE1B|LTR|ERVL-MaLR\"], [\"mh01KK-106\", \"MIRb|SINE|MIR\"], [\"mh01WL-095\", \"L2b|LINE|L2\"], [\"mh01SCUZJ-0041531\", \"AluY|SINE|Alu,(AAAT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh01WL-098\", \"(GTTT)n|Simple_repeat\"], [\"mh01CP-007\", \"MIRc|SINE|MIR\"], [\"mh01CP-008\", \"AluY|SINE|Alu\"], [\"mh01SCUZJ-0062205\", \"L1MC4a|LINE|L1,AluSz|SINE|Alu,L1MC4a|LINE|L1\"], [\"mh01ZBF-001\", \"AluY|SINE|Alu,L3|LINE|CR1\"], [\"mh01NH-02\", \"L1ME5|LINE|L1\"], [\"mh01WL-080\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0076454\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0081962\", \"AluY|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh01SCUZJ-0082140\", \"(CTGCCCCT)n|Simple_repeat,L2|LINE\"], [\"mh01WL-107\", \"MIRb|SINE|MIR\"], [\"mh01KK-210\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0098514\", \"L3|LINE|CR1,L2a|LINE|L2\"], [\"mh01WL-086\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0109665.v1\", \"MIR3|SINE|MIR\"], [\"mh01SCUZJ-0109665.v2\", \"MIR3|SINE|MIR\"], [\"mh01WL-081\", \"(GCAAGT)n|Simple_repeat\"], [\"mh01SHY-001\", \"L2a|LINE|L2\"], [\"mh01WL-116\", \"(CTGCT)n|Simple_repeat\"], [\"mh01SCUZJ-0156524\", \"L2c|LINE|L2,MIR|SINE,L2c|LINE|L2\"], [\"mh01SCUZJ-0165190\", \"LTR5A|LTR|ERVK\"], [\"mh01CP-016\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0212470\", \"HERVH-int|LTR|ERV1\"], [\"mh01SCUZJ-0237331\", \"LTR12C|LTR|ERV1\"], [\"mh01USC-1pC\", \"MLT1E1|LTR|ERVL-MaLR\"], [\"mh01WL-088.v2\", \"L1ME3G|LINE|L1\"], [\"mh01SCUZJ-0258509\", \"AluSc8|SINE|Alu\"], [\"mh01SCUZJ-0260152\", \"AluSz|SINE|Alu,AluJb|SINE|Alu\"], [\"mh01WL-083\", \"(CTTT)n|Simple_repeat\"], [\"mh01SCUZJ-0270838\", \"MER77|LTR|ERVL,L1PA3|LINE|L1\"], [\"mh01SCUZJ-0275072\", \"(ATATACAC)n|Simple_repeat,(TATATG)n|Simple_repeat\"], [\"mh01WL-078\", \"L1ME3|LINE|L1\"], [\"mh01SCUZJ-0285696\", \"OldhAT1|DNA|hAT-Ac,MLT1K|LTR|ERVL-MaLR\"], [\"mh01SCUZJ-0291678\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh01SCUZJ-0293896\", \"MIRc|SINE|MIR\"], [\"mh01WL-114\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0312202\", \"AluY|SINE|Alu\"], [\"mh01SCUZJ-0338874\", \"AluSz|SINE|Alu,(TAA)n|Simple_repeat,(AAG)n|Simple_repeat\"], [\"mh01SCUZJ-0357248\", \"ALR/Alpha|Satellite|centr\"], [\"mh01SCUZJ-0357485\", \"ALR/Alpha|Satellite|centr\"], [\"mh01SCUZJ-0379058\", \"AluSp|SINE|Alu,L2c|LINE|L2\"], [\"mh01SCUZJ-0396461\", \"MER57F|LTR|ERV1\"], [\"mh01KK-211.v4\", \"(GGAAGTG)n|Simple_repeat\"], [\"mh01SCUZJ-0398141\", \"MIRc|SINE|MIR,MER94|DNA|hAT-Blackjack,AluJr|SINE|Alu\"], [\"mh01SCUZJ-0404628\", \"MIR|SINE\"], [\"mh01SCUZJ-0458139\", \"HERVH-int|LTR|ERV1\"], [\"mh01USC-1qB\", \"MIRb|SINE|MIR\"], [\"mh01ZHA-009\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0481939\", \"(TTCC)n|Simple_repeat\"], [\"mh01SCUZJ-0483367\", \"(AT)n|Simple_repeat,(GT)n|Simple_repeat,L1MC4a|LINE|L1\"], [\"mh01SCUZJ-0506502\", 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[\"mh03KK-017.v4\", \"MER3|DNA|hAT-Charlie,L1ME3|LINE|L1\"], [\"mh03KK-017.v5\", \"MER3|DNA|hAT-Charlie,L1ME3|LINE|L1\"], [\"mh03KK-017.v3\", \"L1ME3|LINE|L1\"], [\"mh03KK-017.v1\", \"L1ME3|LINE|L1\"], [\"mh03KK-017.v2\", \"L1ME3|LINE|L1\"], [\"mh03SCUZJ-0165954\", \"AluY|SINE|Alu,(AAC)n|Simple_repeat,AluY|SINE|Alu,HAL1|LINE|L1\"], [\"mh03SCUZJ-0172202\", \"MLT1L|LTR|ERVL-MaLR\"], [\"mh03USC-3pB\", \"MIRb|SINE|MIR,L2a|LINE|L2\"], [\"mh03KK-047.v2\", \"MamRep137|DNA|TcMar-Tigger,L2c|LINE|L2\"], [\"mh03KK-047.v1\", \"MamRep137|DNA|TcMar-Tigger,L2c|LINE|L2\"], [\"mh03KK-008\", \"MER39|LTR|ERV1\"], [\"mh03SCUZJ-0197004\", \"THE1B|LTR|ERVL-MaLR,MLT1C-int|LTR|ERVL-MaLR,MLT1C|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0204490\", \"AluSg|SINE|Alu\"], [\"mh03LW-11\", \"AluSg|SINE|Alu\"], [\"mh03SCUZJ-0214757\", \"L1MA2|LINE|L1\"], [\"mh03WL-059\", \"L2b|LINE|L2\"], [\"mh03SCUZJ-0229447\", \"L1MA7|LINE|L1,(TA)n|Simple_repeat\"], [\"mh03SHY-004\", \"Zaphod|DNA|hAT-Tip100,Zaphod|DNA|hAT-Tip100\"], [\"mh03SCUZJ-0234425\", \"AluSp|SINE|Alu\"], [\"mh03SCUZJ-0242802\", \"MER2|DNA|TcMar-Tigger\"], [\"mh03HYP-07\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0257419\", \"AluJb|SINE|Alu,MLT1L|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0306913\", \"L1MA3|LINE|L1,L2a|LINE|L2\"], [\"mh03KK-018.v1\", \"Charlie2b|DNA|hAT-Charlie\"], [\"mh03KK-018.v2\", \"Charlie2b|DNA|hAT-Charlie\"], [\"mh03SCUZJ-0392555\", \"L1PA3|LINE|L1\"], [\"mh03WL-074\", \"L4_A_Mam|LINE|RTE-X\"], [\"mh03SCUZJ-0400856\", \"L1PA6|LINE|L1\"], [\"mh03SCUZJ-0421208\", \"(GT)n|Simple_repeat,GA-rich|Low_complexity,(GT)n|Simple_repeat\"], [\"mh03KK-150.v3\", \"MIRb|SINE|MIR\"], [\"mh03KK-150.v1\", \"MIRb|SINE|MIR,(TTTTG)n|Simple_repeat\"], [\"mh03KK-150.v2\", \"MIRb|SINE|MIR,(TTTTG)n|Simple_repeat\"], [\"mh03SCUZJ-0436981\", \"SVA_D|Retroposon|SVA\"], [\"mh03WL-064\", \"MamRTE1|LINE|RTE-BovB\"], [\"mh03USC-3qB\", \"MLT1D|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0455199\", \"L1PA6|LINE|L1\"], [\"mh03WL-017.v1\", \"L3|LINE|CR1\"], [\"mh03WL-017.v2\", 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[\"mh11USC-11pA\", \"Charlie25|DNA|hAT-Charlie\"], [\"mh11SCUZJ-0077457\", \"(TTCT)n|Simple_repeat\"], [\"mh11SCUZJ-0078959\", \"MER41B|LTR|ERV1,AluSc8|SINE|Alu,AluSz|SINE|Alu\"], [\"mh11KK-183.v2\", \"L2b|LINE|L2\"], [\"mh11KK-183.v1\", \"L2b|LINE|L2\"], [\"mh11KK-183.v3\", \"L2b|LINE|L2\"], [\"mh11CP-004\", \"MER21C|LTR|ERVL\"], [\"mh11WL-053\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0102261\", \"MER63A|DNA|hAT-Blackjack,MLT1J|LTR|ERVL-MaLR\"], [\"mh11SCUZJ-0148662\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0176211\", \"SATR1|Satellite\"], [\"mh11HYP-27\", \"MIRc|SINE|MIR\"], [\"mh11SCUZJ-0199321\", \"ALR/Alpha|Satellite|centr\"], [\"mh11SCUZJ-0200688\", \"L1PA2|LINE|L1\"], [\"mh11SCUZJ-0215793\", \"LTR28C|LTR|ERV1\"], [\"mh11SCUZJ-0216329\", \"SVA_F|Retroposon|SVA\"], [\"mh11WL-044\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0227031\", \"AluSz6|SINE|Alu,AluY|SINE|Alu,AluSz6|SINE|Alu\"], [\"mh11SCUZJ-0232565\", \"LTR5A|LTR|ERVK\"], [\"mh11WL-027.v2\", \"MER6B|DNA|TcMar-Tigger\"], [\"mh11SCUZJ-0244173\", \"MLT1B|LTR|ERVL-MaLR,AluJb|SINE|Alu\"], [\"mh11WL-051\", \"(TGGCAC)n|Simple_repeat\"], [\"mh11SCUZJ-0251040\", \"(TATACACG)n|Simple_repeat,(TATA)n|Simple_repeat,AluSp|SINE|Alu\"], [\"mh11WL-055\", \"G-rich|Low_complexity\"], [\"mh11KK-187\", \"Tigger15a|DNA|TcMar-Tigger,LTR67B|LTR|ERVL\"], [\"mh11SCUZJ-0280400\", \"L3|LINE|CR1,L3|LINE|CR1,MADE1|DNA|TcMar-Mariner\"], [\"mh11SCUZJ-0290037\", \"(TA)n|Simple_repeat\"], [\"mh11WL-054\", \"MER5A|DNA|hAT-Charlie\"], [\"mh11KK-190\", \"ERV3-16A3_I-int|LTR|ERVL,MER70A|LTR|ERVL\"], [\"mh11WL-052\", \"(GT)n|Simple_repeat\"], [\"mh11WL-037\", \"AluSc8|SINE|Alu\"], [\"mh11SCUZJ-0334147\", \"AluY|SINE|Alu\"], [\"mh11KK-191.v4\", \"Plat_L3|LINE|CR1\"], [\"mh11KK-191.v1\", \"Plat_L3|LINE|CR1\"], [\"mh11KK-191.v2\", \"Plat_L3|LINE|CR1\"], [\"mh11KK-191.v3\", \"Plat_L3|LINE|CR1\"], [\"mh11USC-11qB\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0350528\", \"L2a|LINE|L2,MIRb|SINE|MIR\"], [\"mh11WL-020\", \"(TATTTT)n|Simple_repeat\"], [\"mh11SCUZJ-0363448\", \"L2a|LINE|L2,MLT1J2|LTR|ERVL-MaLR,L1MEj|LINE|L1\"], [\"mh11KK-103\", \"MER74B|LTR|ERVL\"], [\"mh11KK-090\", \"L2c|LINE|L2\"], [\"mh11WL-056\", \"L2c|LINE|L2\"], [\"mh11SCUZJ-0385048\", \"Plat_L3|LINE|CR1,X7C_LINE|LINE|CR1\"], [\"mh11FHL-007\", \"AluY|SINE|Alu\"], [\"mh11SCUZJ-0395195\", \"MIR1_Amn|SINE|MIR\"], [\"mh11WL-003.v1\", \"(TG)n|Simple_repeat\"], [\"mh11WL-003.v2\", \"(TG)n|Simple_repeat\"], [\"mh11SCUZJ-0402779\", \"LTR5A|LTR|ERVK\"], [\"mh11WL-023\", \"L2c|LINE|L2\"], [\"mh11SCUZJ-0413561.v1\", \"AluSg|SINE|Alu\"], [\"mh11SCUZJ-0413561.v2\", \"AluSg|SINE|Alu\"], [\"mh11SCUZJ-0422708\", \"L1MC1|LINE|L1,AluY|SINE|Alu\"], [\"mh11USC-11qC.v2\", \"L3|LINE|CR1,L2c|LINE|L2,L3|LINE|CR1\"], [\"mh11USC-11qC.v1\", \"L2c|LINE|L2,L3|LINE|CR1\"], [\"mh11SCUZJ-0428324\", \"L3|LINE|CR1\"], [\"mh11WL-043\", \"(AC)n|Simple_repeat\"], [\"mh12SCUZJ-0000863\", \"AluY|SINE|Alu\"], [\"mh12WL-011.v1\", \"L2a|LINE|L2\"], [\"mh12SCUZJ-0004616\", \"AluSg|SINE|Alu,AluJr|SINE|Alu\"], [\"mh12CP-008\", \"MER30|DNA|hAT-Charlie\"], [\"mh12SCUZJ-0013071.v1\", \"MIRb|SINE|MIR\"], [\"mh12KK-043\", \"L2b|LINE|L2\"], [\"mh12WL-053\", \"Charlie19a|DNA|hAT-Charlie\"], [\"mh12KK-199.v2\", \"MIR1_Amn|SINE|MIR\"], [\"mh12KK-199.v1\", \"MIR1_Amn|SINE|MIR\"], [\"mh12SCUZJ-0055572\", \"AluJr|SINE|Alu,(AT)n|Simple_repeat,(TA)n|Simple_repeat,AluSx4|SINE|Alu\"], [\"mh12SCUZJ-0091823\", \"(TTTA)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh12WL-045\", \"(CA)n|Simple_repeat\"], [\"mh12KK-201.v3\", \"AluSz|SINE|Alu\"], [\"mh12SCUZJ-0109036\", \"AluSx1|SINE|Alu,MLT1B|LTR|ERVL-MaLR\"], [\"mh12KK-202.v1\", \"L2c|LINE|L2\"], [\"mh12KK-202.v2\", \"L2c|LINE|L2\"], [\"mh12KK-202.v3\", \"L2c|LINE|L2\"], [\"mh12SCUZJ-0127578\", \"MER92C|LTR|ERV1,G-rich|Low_complexity,AluYj4|SINE|Alu,(TTTAT)n|Simple_repeat,AluYj4|SINE|Alu\"], [\"mh12SCUZJ-0169431\", \"AluSx1|SINE|Alu,(ATC)n|Simple_repeat\"], [\"mh12SCUZJ-0181516\", \"AluSc8|SINE|Alu\"], [\"mh12SCUZJ-0212703\", \"(AAAT)n|Simple_repeat,L1MDa|LINE|L1\"], [\"mh12SCUZJ-0223636.v1\", \"THE1B|LTR|ERVL-MaLR,L2c|LINE|L2\"], [\"mh12SCUZJ-0223636.v3\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh12SCUZJ-0223636.v2\", \"THE1B|LTR|ERVL-MaLR,L2c|LINE|L2\"], [\"mh12USC-12qB\", \"MIRc|SINE|MIR\"], [\"mh12SCUZJ-0234264\", \"L2a|LINE|L2,(TA)n|Simple_repeat,L2a|LINE|L2,AluJr|SINE|Alu\"], [\"mh12WL-056\", \"(A)n|Simple_repeat\"], [\"mh12SCUZJ-0253825\", \"AluSz|SINE|Alu,(AT)n|Simple_repeat,(TG)n|Simple_repeat,(AT)n|Simple_repeat,(TG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh12WL-005.v2\", \"MIRc|SINE|MIR\"], [\"mh12SCUZJ-0265665.v1\", \"(TATA)n|Simple_repeat\"], [\"mh12SCUZJ-0265665.v2\", \"(TATA)n|Simple_repeat\"], [\"mh12WL-032\", \"L1ME4b|LINE|L1\"], [\"mh12ZHA-008\", \"MER61-int|LTR|ERV1\"], [\"mh12HYP-31\", \"(AG)n|Simple_repeat\"], [\"mh12SCUZJ-0284369\", \"L1MA4A|LINE|L1,(TA)n|Simple_repeat,(TG)n|Simple_repeat,(TA)n|Simple_repeat,L1MA4A|LINE|L1\"], [\"mh12SCUZJ-0285704\", \"MER70-int|LTR|ERVL,MER70-int|LTR|ERVL\"], [\"mh12WL-018.v2\", \"MIR|SINE\"], [\"mh12SCUZJ-0308915\", \"L1PA16|LINE|L1,(TAAAA)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh12SCUZJ-0311722\", \"L2b|LINE|L2\"], [\"mh12WL-004\", \"(CCCAC)n|Simple_repeat\"], [\"mh12SCUZJ-0326486.v1\", \"AluSz|SINE|Alu\"], [\"mh12SCUZJ-0326486.v2\", \"AluSz|SINE|Alu,(TCCTC)n|Simple_repeat\"], [\"mh12SCUZJ-0331644\", \"(CACACC)n|Simple_repeat\"], [\"mh12SCUZJ-0345285\", \"(TTC)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh12SCUZJ-0347622\", \"AluYg6|SINE|Alu,MLT1I|LTR|ERVL-MaLR\"], [\"mh12WL-059\", \"(GCATG)n|Simple_repeat\"], [\"mh12SCUZJ-0363998\", \"SVA_B|Retroposon|SVA\"], [\"mh12SCUZJ-0364164\", \"Tigger3c|DNA|TcMar-Tigger,AluY|SINE|Alu\"], [\"mh12SCUZJ-0374276\", \"AluY|SINE|Alu,Charlie1a|DNA|hAT-Charlie\"], [\"mh12SCUZJ-0382800\", \"MLT1D|LTR|ERVL-MaLR\"], [\"mh12SCUZJ-0396248\", \"L1PB4|LINE|L1,AluSx3|SINE|Alu\"], [\"mh12KK-209\", \"MIR|SINE\"], [\"mh12SCUZJ-0420557\", \"L2b|LINE|L2\"], [\"mh12SCUZJ-0423152\", \"MER47A|DNA|TcMar-Tigger\"], [\"mh12SCUZJ-0429356.v1\", \"L1MD2|LINE|L1,(TA)n|Simple_repeat,MIRc|SINE|MIR\"], [\"mh12SCUZJ-0429356.v2\", \"(TA)n|Simple_repeat,MIRc|SINE|MIR\"], [\"mh13SCUZJ-0013697\", \"L1MB2|LINE|L1\"], [\"mh13SCUZJ-0022455\", \"(CA)n|Simple_repeat\"], [\"mh13CP-008\", \"L1PA4|LINE|L1\"], [\"mh13SCUZJ-0036837\", \"L1MA4|LINE|L1,(AT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh13SCUZJ-0039899\", \"MLT1B|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0045733\", \"AluY|SINE|Alu\"], [\"mh13SCUZJ-0049124\", \"AluSz6|SINE|Alu,AluSx|SINE|Alu\"], [\"mh13CP-010\", \"AluJr|SINE|Alu\"], [\"mh13SCUZJ-0064820\", \"L1MA8|LINE|L1,AluY|SINE|Alu\"], [\"mh13SHY-002\", \"Tigger15a|DNA|TcMar-Tigger,(TTGG)n|Simple_repeat\"], [\"mh13SCUZJ-0098743\", \"AluY|SINE|Alu,Charlie4a|DNA|hAT-Charlie\"], [\"mh13FHL-002\", \"L2b|LINE|L2\"], [\"mh13WL-037.v2\", \"L2|LINE\"], [\"mh13WL-037.v1\", \"L2|LINE\"], [\"mh13SCUZJ-0108086\", \"SVA_F|Retroposon|SVA\"], [\"mh13SCUZJ-0115873\", \"AluSz|SINE|Alu\"], [\"mh13KK-218.v2\", \"AluSq|SINE|Alu,MER21C|LTR|ERVL\"], [\"mh13KK-218.v5\", \"AluSq|SINE|Alu,MER21C|LTR|ERVL\"], [\"mh13KK-218.v6\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v3\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v1\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v4\", \"MER21C|LTR|ERVL\"], [\"mh13SCUZJ-0139792\", \"LTR78|LTR|ERV1\"], [\"mh13LV-10.v2\", \"AluSg|SINE|Alu\"], [\"mh13LV-10.v1\", \"AluSg|SINE|Alu\"], [\"mh13WL-044\", \"MER52C|LTR|ERV1\"], [\"mh13SCUZJ-0192805\", \"L1PB4|LINE|L1,(TA)n|Simple_repeat,(AC)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh13WL-043\", \"(ATTG)n|Simple_repeat\"], [\"mh13LW-33\", \"L1PB1|LINE|L1\"], [\"mh13SCUZJ-0205653\", \"L1M4b|LINE|L1,L1MDa|LINE|L1\"], [\"mh13SCUZJ-0227626.v1\", \"HERVH-int|LTR|ERV1,HERVH-int|LTR|ERV1\"], [\"mh13SCUZJ-0227626.v2\", \"HERVH-int|LTR|ERV1\"], [\"mh13SCUZJ-0230728\", \"AluJb|SINE|Alu\"], [\"mh13WL-033\", \"(AT)n|Simple_repeat\"], [\"mh13SCUZJ-0255446.v1\", \"AluSq2|SINE|Alu\"], [\"mh13SCUZJ-0255446.v2\", \"AluSq2|SINE|Alu\"], [\"mh13WL-027\", \"MamTip3|DNA|hAT-Tip100\"], [\"mh13WL-045\", \"UCON100|DNA?\"], [\"mh13KK-221.v1\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh13KK-221.v2\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh13LW-34\", \"MLT1F2|LTR|ERVL-MaLR\"], [\"mh13ZHA-002\", \"THE1D|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0279353\", \"MER5A|DNA|hAT-Charlie,MER5A|DNA|hAT-Charlie\"], [\"mh13SCUZJ-0285465\", \"AluY|SINE|Alu\"], [\"mh13KK-222.v2\", \"(ATAATTT)n|Simple_repeat,MER20|DNA|hAT-Charlie\"], [\"mh13KK-222.v1\", \"(ATAATTT)n|Simple_repeat,MER20|DNA|hAT-Charlie\"], [\"mh13SCUZJ-0297911\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0304208\", \"MIRc|SINE|MIR,(TC)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh13SCUZJ-0312967\", \"AluY|SINE|Alu\"], [\"mh13SCUZJ-0333799\", \"LTR5A|LTR|ERVK\"], [\"mh14SCUZJ-0004208\", \"LTR5A|LTR|ERVK\"], [\"mh14WL-012\", \"L1ME3Cz|LINE|L1\"], [\"mh14SCUZJ-0022537\", \"AluJo|SINE|Alu,AluJo|SINE|Alu\"], [\"mh14SCUZJ-0022925\", \"AluY|SINE|Alu\"], [\"mh14WL-018\", \"(TTAT)n|Simple_repeat,(TTTATTT)n|Simple_repeat\"], [\"mh14WL-036.v2\", \"MIRb|SINE|MIR\"], [\"mh14WL-036.v3\", \"MIRb|SINE|MIR\"], [\"mh14WL-032\", \"MamRTE1|LINE|RTE-BovB\"], [\"mh14SCUZJ-0040957.v1\", \"AluY|SINE|Alu\"], [\"mh14SCUZJ-0040957.v2\", \"AluY|SINE|Alu\"], [\"mh14PK-72639\", \"U6|snRNA\"], [\"mh14SCUZJ-0045150\", \"MIR|SINE\"], [\"mh14CP-003\", \"L1MA2|LINE|L1\"], [\"mh14SCUZJ-0050462\", \"SVA_F|Retroposon|SVA\"], [\"mh14SHY-001\", \"MIRb|SINE|MIR,L1P4|LINE|L1,L1PA16|LINE|L1\"], [\"mh14CP-004\", \"L1PA7|LINE|L1\"], [\"mh14WL-041\", \"(TCCT)n|Simple_repeat\"], [\"mh14SCUZJ-0072608\", \"L1PA17|LINE|L1\"], [\"mh14LW-36\", \"THE1A|LTR|ERVL-MaLR\"], [\"mh14SCUZJ-0080108\", \"L1PA3|LINE|L1\"], [\"mh14SCUZJ-0080546\", \"L1PA3|LINE|L1\"], [\"mh14SCUZJ-0096560\", \"L1M2|LINE|L1,L1MEh|LINE|L1\"], [\"mh14SCUZJ-0105332.v1\", \"AluYk3|SINE|Alu\"], [\"mh14SCUZJ-0105332.v2\", \"AluYk3|SINE|Alu\"], [\"mh14KK-227.v1\", \"L2c|LINE|L2\"], [\"mh14KK-227.v2\", \"L2c|LINE|L2\"], [\"mh14KK-227.v3\", \"L2c|LINE|L2,L2c|LINE|L2\"], [\"mh14KK-227.v4\", \"L2c|LINE|L2\"], [\"mh14SHY-002.v1\", \"(TAAT)n|Simple_repeat\"], [\"mh14ZHA-003\", \"MLT2B1|LTR|ERVL\"], [\"mh14WL-030.v2\", \"MIR|SINE\"], [\"mh14SCUZJ-0167395\", \"MER5A|DNA|hAT-Charlie,(ATTT)n|Simple_repeat,AluYc|SINE|Alu\"], [\"mh14SCUZJ-0172480\", \"MLT1I|LTR|ERVL-MaLR\"], [\"mh14WL-003.v2\", \"L2a|LINE|L2\"], [\"mh14SCUZJ-0187337\", \"MLT1A|LTR|ERVL-MaLR,L1MC5|LINE|L1,L1MC5|LINE|L1,(TA)n|Simple_repeat,L1MC5|LINE|L1\"], [\"mh14WL-033\", \"MIRb|SINE|MIR\"], [\"mh14SCUZJ-0215156\", \"MLT1C|LTR|ERVL-MaLR,(TA)n|Simple_repeat,(AC)n|Simple_repeat\"], [\"mh14WL-005.v1\", \"MIR1_Amn|SINE|MIR,MLT1O|LTR|ERVL-MaLR\"], [\"mh14WL-005.v2\", \"MLT1O|LTR|ERVL-MaLR,L1MB7|LINE|L1\"], [\"mh14SCUZJ-0229993\", \"MER63B|DNA|hAT-Blackjack,(TTCC)n|Simple_repeat,AluSx1|SINE|Alu\"], [\"mh14SCUZJ-0235514\", \"L1M5|LINE|L1,(CG)n|Simple_repeat,(CA)n|Simple_repeat\"], [\"mh14USC-14qD\", \"LTR33A_|LTR|ERVL\"], [\"mh14SCUZJ-0250160\", \"AluY|SINE|Alu,L1MB3|LINE|L1,L1MA7|LINE|L1\"], [\"mh14SCUZJ-0253455\", 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[\"mh15SCUZJ-0230315\", \"L1PA12|LINE|L1,MER20|DNA|hAT-Charlie,AluY|SINE|Alu\"], [\"mh15SCUZJ-0231729\", \"L1MEd|LINE|L1,AluY|SINE|Alu\"], [\"mh15SCUZJ-0236854\", \"THE1B|LTR|ERVL-MaLR,L1MC5|LINE|L1\"], [\"mh15SHY-004.v1\", \"L2c|LINE|L2\"], [\"mh15SHY-004.v2\", \"L2c|LINE|L2\"], [\"mh15SHY-004.v3\", \"L2c|LINE|L2,L2c|LINE|L2\"], [\"mh15SCUZJ-0244385\", \"HERVH-int|LTR|ERV1,HERVH-int|LTR|ERV1\"], [\"mh15SCUZJ-0251770.v1\", \"AluY|SINE|Alu,L1ME3A|LINE|L1\"], [\"mh15SCUZJ-0251770.v2\", \"AluY|SINE|Alu,L1ME3A|LINE|L1\"], [\"mh15SCUZJ-0255931.v1\", \"AluYa5|SINE|Alu\"], [\"mh15SCUZJ-0255931.v2\", \"AluYa5|SINE|Alu\"], [\"mh15SCUZJ-0267777\", \"AluY|SINE|Alu\"], [\"mh16SCUZJ-0001338\", \"AluY|SINE|Alu,AluY|SINE|Alu\"], [\"mh16WL-011\", \"L1M5|LINE|L1\"], [\"mh16WL-035\", \"MIRc|SINE|MIR\"], [\"mh16SCUZJ-0020639\", \"AluY|SINE|Alu\"], [\"mh16SCUZJ-0025649\", \"MIRb|SINE|MIR\"], [\"mh16WL-048\", \"MER5B|DNA|hAT-Charlie,L2a|LINE|L2\"], [\"mh16WL-030\", \"MIRb|SINE|MIR\"], [\"mh16KK-049.v2\", \"L1MD2|LINE|L1\"], [\"mh16KK-049.v3\", \"L1MD2|LINE|L1\"], [\"mh16KK-049.v4\", \"L1MD2|LINE|L1\"], [\"mh16KK-049.v1\", \"L1MD2|LINE|L1\"], [\"mh16SCUZJ-0054196.v1\", \"HERVH-int|LTR|ERV1\"], [\"mh16SCUZJ-0054196.v2\", \"HERVH-int|LTR|ERV1\"], [\"mh16WL-040.v2\", \"L2a|LINE|L2,LTR7B|LTR|ERV1\"], [\"mh16WL-040.v3\", \"L2a|LINE|L2\"], [\"mh16USC-16pA\", \"MIRc|SINE|MIR\"], [\"mh16SCUZJ-0073152\", \"AluSp|SINE|Alu\"], [\"mh16SCUZJ-0076203\", \"MIR|SINE,LTR5A|LTR|ERVK\"], [\"mh16SCUZJ-0085132\", \"L1MD3|LINE|L1,MLT1D|LTR|ERVL-MaLR\"], [\"mh16WL-003.v1\", \"MIRc|SINE|MIR\"], [\"mh16WL-003.v2\", \"MIRc|SINE|MIR\"], [\"mh16ZHA-003\", \"MLT1I|LTR|ERVL-MaLR,AluJb|SINE|Alu\"], [\"mh16ZHA-004\", \"AluY|SINE|Alu\"], [\"mh16LW-40\", \"AluSx|SINE|Alu,(AAT)n|Simple_repeat,AluSx|SINE|Alu\"], [\"mh16SCUZJ-0095877\", \"AluSx|SINE|Alu,(AC)n|Simple_repeat,(AG)n|Simple_repeat\"], [\"mh16WL-039\", \"AluSc|SINE|Alu\"], [\"mh16WL-032\", \"MIR|SINE\"], [\"mh16SCUZJ-0109918\", \"AluJb|SINE|Alu\"], [\"mh16SCUZJ-0113007\", \"AluSq2|SINE|Alu,L2b|LINE|L2\"], [\"mh16WL-009.v2\", \"L2|LINE\"], [\"mh16WL-009.v1\", \"L2|LINE\"], [\"mh16SHY-001\", \"AluSg4|SINE|Alu\"], [\"mh16LW-41\", \"L1P4|LINE|L1,SVA_D|Retroposon|SVA\"], [\"mh16SCUZJ-0162779\", \"MER74A|LTR|ERVL,MIR3|SINE|MIR\"], [\"mh16WL-012.v1\", \"MIRb|SINE|MIR\"], [\"mh16WL-012.v2\", \"MIRb|SINE|MIR\"], [\"mh16SCUZJ-0168034\", \"L1ME4b|LINE|L1,L1MC4a|LINE|L1\"], [\"mh16SCUZJ-0175150\", \"(TA)n|Simple_repeat\"], [\"mh16SCUZJ-0177628\", \"L1PA3|LINE|L1\"], [\"mh16WL-049\", \"LTR52|LTR|ERVL,L1PA8|LINE|L1\"], [\"mh16SCUZJ-0181739\", \"L1PB4|LINE|L1\"], [\"mh16SCUZJ-0184423\", \"MER119|DNA|hAT-Charlie\"], [\"mh16SCUZJ-0187537\", \"L1MA9|LINE|L1\"], [\"mh16SCUZJ-0196761\", \"L1PB1|LINE|L1,(GT)n|Simple_repeat,(TA)n|Simple_repeat,L1PB1|LINE|L1\"], [\"mh16SCUZJ-0206613\", \"(TA)n|Simple_repeat,AluSx1|SINE|Alu\"], [\"mh16SHY-002\", \"L2a|LINE|L2\"], [\"mh16WL-013.v2\", \"Arthur1C|DNA|hAT-Tip100\"], [\"mh16WL-013.v1\", \"Arthur1C|DNA|hAT-Tip100\"], [\"mh16SCUZJ-0227793\", \"AluSg7|SINE|Alu\"], [\"mh16SCUZJ-0228342\", \"MER63A|DNA|hAT-Blackjack\"], [\"mh16PK-83362\", \"LTR1A1|LTR|ERV1\"], [\"mh16SCUZJ-0243523\", \"MLT1J|LTR|ERVL-MaLR,(T)n|Simple_repeat\"], [\"mh16SCUZJ-0250647\", \"MLT1B|LTR|ERVL-MaLR,MIRb|SINE|MIR\"], [\"mh16SCUZJ-0260785\", \"AluJo|SINE|Alu,AluSx|SINE|Alu\"], [\"mh16SCUZJ-0262867\", \"AluSz|SINE|Alu\"], [\"mh16KK-255.v2\", \"L1ME4b|LINE|L1\"], [\"mh16KK-255.v3\", \"L1ME4b|LINE|L1\"], [\"mh16KK-255.v4\", \"L1ME4b|LINE|L1\"], [\"mh16KK-255.v1\", \"L1ME4b|LINE|L1\"], [\"mh16WL-047\", \"MER53|DNA|hAT,MIRc|SINE|MIR\"], [\"mh16KK-259.v4\", \"AluY|SINE|Alu,L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16KK-259.v5\", \"L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16KK-259.v1\", \"L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16KK-259.v2\", \"L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16KK-259.v3\", \"L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16KK-259.v6\", \"L1ME3|LINE|L1,L2b|LINE|L2\"], [\"mh16WL-021\", \"MER3|DNA|hAT-Charlie,(TTTCC)n|Simple_repeat\"], [\"mh16SCUZJ-0289826\", \"Kanga2_a|DNA|TcMar-Tc2\"], [\"mh16SCUZJ-0296189\", \"AluY|SINE|Alu,L1MC4|LINE|L1\"], [\"mh16SHY-003\", \"LTR16C|LTR|ERVL\"], [\"mh16SCUZJ-0309391\", \"L2b|LINE|L2\"], [\"mh16KK-061\", \"L1ME2|LINE|L1\"], [\"mh16SCUZJ-0313802\", \"L2b|LINE|L2,THE1A|LTR|ERVL-MaLR,Alu|SINE,(T)n|Simple_repeat\"], [\"mh16SCUZJ-0328951.v2\", \"AluJr4|SINE|Alu,AluJo|SINE|Alu\"], [\"mh17WL-009.v1\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh17WL-009.v2\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh17ZHA-001\", \"AluJb|SINE|Alu\"], [\"mh17SCUZJ-0003983\", \"L2c|LINE|L2\"], [\"mh17SCUZJ-0013421\", \"AluSz|SINE|Alu\"], [\"mh17SCUZJ-0017214.v1\", \"AluSg|SINE|Alu,L1ME3Cz|LINE|L1,AluY|SINE|Alu\"], [\"mh17SCUZJ-0017214.v2\", \"AluY|SINE|Alu,L1ME3Cz|LINE|L1\"], [\"mh17WL-038\", \"AluSq|SINE|Alu\"], [\"mh17SCUZJ-0025813\", \"AluSc|SINE|Alu,L3|LINE|CR1\"], [\"mh17WL-019\", \"HERVK-int|LTR|ERVK\"], [\"mh17SCUZJ-0044896\", \"AluJo|SINE|Alu,MLT1A0|LTR|ERVL-MaLR\"], [\"mh17SCUZJ-0056311\", \"L1M1|LINE|L1\"], [\"mh17SCUZJ-0068277\", \"L1MC1|LINE|L1\"], [\"mh17SCUZJ-0069199\", \"AluJo|SINE|Alu,A-rich|Low_complexity\"], [\"mh17CP-006\", \"L1ME1|LINE|L1\"], [\"mh17CP-005\", \"AluSq|SINE|Alu\"], [\"mh17SCUZJ-0090327.v1\", \"ALR/Alpha|Satellite|centr\"], [\"mh17SCUZJ-0090327.v2\", \"ALR/Alpha|Satellite|centr\"], [\"mh17USC-17qA\", \"L2b|LINE|L2\"], [\"mh17WL-035\", \"MIRb|SINE|MIR\"], [\"mh17SCUZJ-0114315\", \"L1MA5A|LINE|L1,AluJb|SINE|Alu\"], [\"mh17SCUZJ-0115879\", \"(T)n|Simple_repeat,AluJr|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh17SCUZJ-0116654\", \"A-rich|Low_complexity\"], [\"mh17WL-027\", \"HAL1b|LINE|L1\"], [\"mh17LW-44\", \"LTR13|LTR|ERVK\"], [\"mh17SCUZJ-0126774\", \"(TGG)n|Simple_repeat\"], [\"mh17KK-077\", \"MER20|DNA|hAT-Charlie\"], [\"mh17SCUZJ-0133238\", \"L1MA5A|LINE|L1,AluSx|SINE|Alu\"], [\"mh17SCUZJ-0135202\", \"(TGCA)n|Simple_repeat,(ATAC)n|Simple_repeat\"], [\"mh17SCUZJ-0137941.v1\", \"AluSx3|SINE|Alu,HAL1b|LINE|L1\"], [\"mh17SCUZJ-0137941.v2\", \"AluSx3|SINE|Alu,HAL1b|LINE|L1\"], [\"mh17WL-015.v2\", \"MIR|SINE\"], [\"mh17KK-110\", \"MER5A1|DNA|hAT-Charlie\"], [\"mh17SCUZJ-0176838\", \"AluY|SINE|Alu\"], [\"mh17SCUZJ-0197814\", \"L2c|LINE|L2\"], [\"mh17SCUZJ-0199582\", \"Charlie7|DNA|hAT-Charlie,AluY|SINE|Alu\"], [\"mh17SCUZJ-0200979\", \"AluY|SINE|Alu\"], [\"mh17KK-012.v1\", \"MER5A1|DNA|hAT-Charlie,MER5B|DNA|hAT-Charlie\"], [\"mh17KK-012.v2\", \"MER5A1|DNA|hAT-Charlie,MER5B|DNA|hAT-Charlie\"], [\"mh17KK-013.v1\", \"(CA)n|Simple_repeat\"], [\"mh17KK-013.v2\", \"(CA)n|Simple_repeat\"], [\"mh17SCUZJ-0222289\", \"FLAM_C|SINE|Alu,L1MD2|LINE|L1\"], [\"mh17WL-008.v2\", \"(GCACTA)n|Simple_repeat\"], [\"mh17WL-008.v1\", \"(GCACTA)n|Simple_repeat\"], [\"mh17WL-008.v3\", \"(GCACTA)n|Simple_repeat\"], [\"mh17KK-278.v1\", \"L1MEh|LINE|L1\"], [\"mh17KK-278.v2\", \"L1MEh|LINE|L1\"], [\"mh17SCUZJ-0233057\", \"AluY|SINE|Alu,(AT)n|Simple_repeat,AluJb|SINE|Alu,AluSz|SINE|Alu\"], [\"mh17WL-030.v2\", \"MER33|DNA|hAT-Charlie\"], [\"mh17WL-030.v1\", \"MER33|DNA|hAT-Charlie\"], [\"mh18LW-45\", \"BSR/Beta|Satellite\"], [\"mh18WL-002\", \"AluSg4|SINE|Alu\"], [\"mh18SCUZJ-0002652\", \"AluSx|SINE|Alu,A-rich|Low_complexity\"], [\"mh18SCUZJ-0003488\", \"AluY|SINE|Alu\"], [\"mh18SHY-001\", \"L1MA10|LINE|L1,MER49|LTR|ERV1\"], [\"mh18PK-87558\", \"L2a|LINE|L2,L1PA15|LINE|L1\"], [\"mh18SCUZJ-0009510\", \"(TA)n|Simple_repeat\"], [\"mh18SCUZJ-0011531\", \"ERV3-16A3_LTR|LTR|ERVL,ERV3-16A3_LTR|LTR|ERVL\"], [\"mh18SCUZJ-0015713\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0020879.v1\", \"L1HS|LINE|L1,L1ME1|LINE|L1\"], [\"mh18SCUZJ-0020879.v2\", \"L1HS|LINE|L1,L1ME1|LINE|L1\"], [\"mh18USC-18pA\", \"HAL1|LINE|L1\"], [\"mh18CP-005\", \"L1ME4b|LINE|L1\"], [\"mh18SCUZJ-0040982\", \"LTR12C|LTR|ERV1\"], [\"mh18SCUZJ-0042322\", \"L1MC4|LINE|L1,AluSc|SINE|Alu,(AAAC)n|Simple_repeat,AluSc|SINE|Alu,L1MC4|LINE|L1\"], [\"mh18ZBF-002\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0058695\", \"MLT1F2|LTR|ERVL-MaLR,AluY|SINE|Alu\"], [\"mh18SCUZJ-0064707.v1\", \"MSTA|LTR|ERVL-MaLR,G-rich|Low_complexity,THE1D-int|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0064707.v2\", \"G-rich|Low_complexity,THE1D-int|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR,MSTA|LTR|ERVL-MaLR\"], [\"mh18ZHA-004\", \"THE1D-int|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0070441\", \"AluJr|SINE|Alu\"], [\"mh18SCUZJ-0076547\", \"L1PA2|LINE|L1\"], [\"mh18SCUZJ-0078455\", \"(TA)n|Simple_repeat\"], [\"mh18CP-003\", \"L1M5|LINE|L1\"], [\"mh18ZBF-001\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0086519\", \"(TA)n|Simple_repeat,(AG)n|Simple_repeat\"], [\"mh18SCUZJ-0091845.v1\", \"(ATAATAT)n|Simple_repeat\"], [\"mh18SCUZJ-0091845.v2\", \"(ATAATAT)n|Simple_repeat\"], [\"mh18WL-022.v2\", \"(AG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh18WL-022.v1\", \"(AG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh18SCUZJ-0106007\", \"AluSc8|SINE|Alu\"], [\"mh18SCUZJ-0117020\", \"L1PA4|LINE|L1\"], [\"mh18SCUZJ-0119570\", \"(AG)n|Simple_repeat\"], [\"mh18SCUZJ-0133911\", \"AluY|SINE|Alu,MER39B|LTR|ERV1\"], [\"mh18SCUZJ-0139814\", \"MIRb|SINE|MIR,(GTTTTT)n|Simple_repeat\"], [\"mh18SCUZJ-0147265\", \"L2a|LINE|L2\"], [\"mh18USC-18qB\", \"LTR33|LTR|ERVL\"], [\"mh18WL-014\", \"AluJb|SINE|Alu\"], [\"mh18WL-031\", \"L2c|LINE|L2\"], [\"mh18LW-47\", \"L1MA9|LINE|L1,AluSc8|SINE|Alu\"], [\"mh18SCUZJ-0189739\", \"L1MA9|LINE|L1,(TATC)n|Simple_repeat\"], [\"mh18USC-18qC\", \"MLT1A0|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0194030\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0198187\", \"(TCCT)n|Simple_repeat\"], [\"mh18FHL-004.v2\", \"L1M8|LINE|L1,AluSg|SINE|Alu,L1M8|LINE|L1\"], [\"mh18FHL-004.v1\", \"AluSg|SINE|Alu,L1M8|LINE|L1\"], [\"mh18WL-029\", \"(TG)n|Simple_repeat\"], [\"mh18SCUZJ-0212405\", \"L1M2|LINE|L1,(AT)n|Simple_repeat,(AC)n|Simple_repeat,THE1B|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0220161\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh18WL-020\", \"L2a|LINE|L2\"], [\"mh18SCUZJ-0233898\", \"L1MC5a|LINE|L1,A-rich|Low_complexity\"], [\"mh18SCUZJ-0236206\", \"Kanga1|DNA|TcMar-Tc2,AluY|SINE|Alu,Kanga1|DNA|TcMar-Tc2\"], [\"mh18SCUZJ-0246384\", \"AluY|SINE|Alu,L1P2|LINE|L1,AluY|SINE|Alu\"], [\"mh18SCUZJ-0246988\", \"MIR3|SINE|MIR,AluY|SINE|Alu\"], [\"mh18KK-293.v2\", \"UCON1|Unknown\"], [\"mh18KK-293.v1\", \"UCON1|Unknown\"], [\"mh18SCUZJ-0264631\", \"AluY|SINE|Alu,L1MD|LINE|L1,G-rich|Low_complexity\"], [\"mh18SCUZJ-0265416\", \"MIRb|SINE|MIR\"], [\"mh19SCUZJ-0001326\", \"MSTB|LTR|ERVL-MaLR,MSTB|LTR|ERVL-MaLR\"], [\"mh19USC-19pA\", \"HERVIP10B3-int|LTR|ERV1\"], [\"mh19SCUZJ-0007484\", \"AluY|SINE|Alu\"], [\"mh19SCUZJ-0012120\", \"AluY|SINE|Alu,AluSx|SINE|Alu\"], [\"mh19WL-024\", \"G-rich|Low_complexity\"], [\"mh19SCUZJ-0018130\", \"AluSc|SINE|Alu,L1MB3|LINE|L1\"], [\"mh19SCUZJ-0019425\", \"AluSc|SINE|Alu\"], [\"mh19SCUZJ-0022447\", \"AluSg|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0028962\", \"HERVH-int|LTR|ERV1,AluY|SINE|Alu,HERVH-int|LTR|ERV1\"], [\"mh19SCUZJ-0039302\", \"AluY|SINE|Alu,L1ME3G|LINE|L1\"], [\"mh19SCUZJ-0056108\", \"(A)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh19SCUZJ-0064306\", \"AluY|SINE|Alu,(TA)n|Simple_repeat\"], [\"mh19CP-007\", \"AluSq2|SINE|Alu\"], [\"mh19USC-19pB\", \"L1MA8|LINE|L1\"], [\"mh19SCUZJ-0081305\", \"AluSx3|SINE|Alu,(TAAT)n|Simple_repeat,AluJr4|SINE|Alu\"], [\"mh19SCUZJ-0091391\", \"AluSx4|SINE|Alu\"], [\"mh19ZHA-006\", \"AluSx3|SINE|Alu\"], [\"mh19SCUZJ-0119796\", \"L1PA17|LINE|L1\"], [\"mh19SCUZJ-0121709\", \"L1PA17|LINE|L1\"], [\"mh19SCUZJ-0137855\", \"L1PA4|LINE|L1\"], [\"mh19SCUZJ-0146076\", \"MER21C|LTR|ERVL\"], [\"mh19SCUZJ-0146592\", \"MLT1B|LTR|ERVL-MaLR,(GTTT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh19SCUZJ-0164190\", \"MIRb|SINE|MIR\"], [\"mh19WL-028\", \"AluSz|SINE|Alu,(TAA)n|Simple_repeat,L1MC5|LINE|L1\"], [\"mh19SCUZJ-0195134\", \"AluSx|SINE|Alu\"], [\"mh19KK-301\", \"MLT1L|LTR|ERVL-MaLR\"], [\"mh19KK-300\", \"Zaphod2|DNA|hAT-Tip100,MER33|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0212784\", \"L2|LINE,(A)n|Simple_repeat\"], [\"mh19SCUZJ-0215538\", \"AluY|SINE|Alu,AluSc8|SINE|Alu\"], [\"mh19ZHA-009\", \"L2|LINE\"], [\"mh19SCUZJ-0227114\", \"AluSg4|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh19SCUZJ-0238255\", \"(CACACT)n|Simple_repeat\"], [\"mh19SHY-002\", \"AluJo|SINE|Alu,L1ME3B|LINE|L1\"], [\"mh19SCUZJ-0249059.v1\", \"MER20|DNA|hAT-Charlie,AluY|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0249059.v2\", \"AluY|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh20SCUZJ-0000019\", \"AluY|SINE|Alu\"], [\"mh20KK-306.v2\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh20KK-306.v1\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh20WL-022.v2\", \"MIR|SINE\"], [\"mh20KK-035\", \"L1ME4b|LINE|L1\"], [\"mh20SCUZJ-0014987\", \"AluY|SINE|Alu,L1MB7|LINE|L1\"], [\"mh20SHY-001\", \"L1MEc|LINE|L1\"], [\"mh20SCUZJ-0017470\", \"AluJo|SINE|Alu\"], [\"mh20LV-04.v1\", \"LTR105_Mam|LTR|ERVL,AluSc|SINE|Alu,LTR105_Mam|LTR|ERVL\"], [\"mh20LV-04.v2\", \"LTR105_Mam|LTR|ERVL,AluSc|SINE|Alu,LTR105_Mam|LTR|ERVL\"], [\"mh20SCUZJ-0026528\", \"L1MC4|LINE|L1\"], [\"mh20SCUZJ-0039966\", \"MSTA|LTR|ERVL-MaLR,LTR16C|LTR|ERVL\"], [\"mh20SHY-002\", \"AluSc|SINE|Alu,MLT1F1|LTR|ERVL-MaLR\"], [\"mh20SCUZJ-0056321\", \"FRAM|SINE|Alu,AluY|SINE|Alu\"], [\"mh20LW-49\", \"MSTB|LTR|ERVL-MaLR\"], [\"mh20SCUZJ-0059407\", \"(TCACCC)n|Simple_repeat\"], [\"mh20KK-307.v2\", \"L5|LINE|RTE-X\"], [\"mh20KK-307.v3\", \"L5|LINE|RTE-X\"], [\"mh20KK-307.v1\", \"L5|LINE|RTE-X\"], [\"mh20USC-20pB\", \"L2c|LINE|L2\"], [\"mh20USC-20qA\", \"Tigger9b|DNA|TcMar-Tigger\"], [\"mh20SCUZJ-0118237\", \"HERVH-int|LTR|ERV1\"], [\"mh20ZBF-001\", \"MER63C|DNA|hAT-Blackjack\"], [\"mh20WL-014\", \"(CA)n|Simple_repeat\"], [\"mh20SCUZJ-0128552\", \"L2a|LINE|L2\"], [\"mh20SCUZJ-0130299\", \"L2b|LINE|L2,LTR33|LTR|ERVL\"], [\"mh20KK-058.v1\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20KK-058.v2\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20KK-058.v3\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20SCUZJ-0148996\", \"AluY|SINE|Alu\"], [\"mh20WL-018\", \"MIRb|SINE|MIR\"], [\"mh20SCUZJ-0159322\", \"(TTTC)n|Simple_repeat,AluSx3|SINE|Alu\"], [\"mh20SCUZJ-0162160\", \"G-rich|Low_complexity,G-rich|Low_complexity,MamGypLTR1b|LTR|Gypsy\"], [\"mh20HYP-42\", \"L1ME3Cz|LINE|L1\"], [\"mh20KK-059\", \"(GGCAGAG)n|Simple_repeat\"], [\"mh20SCUZJ-0175951\", \"AluSz|SINE|Alu\"], [\"mh20SCUZJ-0176544\", \"AluSg7|SINE|Alu,AluY|SINE|Alu\"], [\"mh20SCUZJ-0185153.v1\", \"AluSc|SINE|Alu,HAL1M8|LINE|L1\"], [\"mh20SCUZJ-0185153.v2\", \"AluSc|SINE|Alu,HAL1M8|LINE|L1\"], [\"mh21LW-50\", \"ACRO1|Satellite|acro\"], [\"mh21SCUZJ-0002749\", \"LTR6A|LTR|ERV1,MSTA|LTR|ERVL-MaLR,MSTA-int|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0003240\", \"MSTA|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0016493\", \"HERVH-int|LTR|ERV1\"], [\"mh21SCUZJ-0027129\", \"MIR|SINE,AluSc8|SINE|Alu\"], [\"mh21KK-315.v6\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v1\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v2\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v3\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v4\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v5\", \"L1PA15-16|LINE|L1\"], [\"mh21SCUZJ-0037017\", \"MLT1D|LTR|ERVL-MaLR,L1MC3|LINE|L1\"], [\"mh21SCUZJ-0041429\", \"L1ME3A|LINE|L1,L1MA4|LINE|L1\"], [\"mh21SCUZJ-0059376\", \"LTR1D|LTR|ERV1,MER4D1|LTR|ERV1\"], [\"mh21KK-316.v1\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21KK-316.v2\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21KK-316.v3\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21WL-019\", \"MSTD|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0071539\", \"L1PB1|LINE|L1\"], [\"mh21SCUZJ-0080338\", \"AluJb|SINE|Alu,(TC)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh21SCUZJ-0093008.v1\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0093008.v2\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0100459.v1\", \"L1PB1|LINE|L1\"], [\"mh21USC-21qB\", \"L1PA13|LINE|L1\"], [\"mh21SCUZJ-0108570\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-320.v1\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v5\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v2\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v3\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21SCUZJ-0117636\", \"MIR|SINE,THE1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v3\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v1\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v2\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0125683\", \"L1PB1|LINE|L1,L1ME1|LINE|L1\"], [\"mh21SCUZJ-0128230\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0132919\", \"AluSq|SINE|Alu\"], [\"mh22SCUZJ-0000304\", \"(ATCGAATGGA)n|Simple_repeat,(GGAAT)n|Simple_repeat,(ATCGAATGGA)n|Simple_repeat,(GGAAT)n|Simple_repeat\"], [\"mh22SCUZJ-0002299\", \"AluJr|SINE|Alu\"], [\"mh22SCUZJ-0012907\", \"AluSc|SINE|Alu,L1M2|LINE|L1,L1M4|LINE|L1\"], [\"mh22ZHA-003\", \"AluY|SINE|Alu\"], [\"mh22SCUZJ-0021077.v1\", \"AluY|SINE|Alu,L1MEd|LINE|L1\"], [\"mh22SCUZJ-0021077.v2\", \"AluY|SINE|Alu,L1MEd|LINE|L1\"], [\"mh22SCUZJ-0033378\", \"ERVL-E-int|LTR|ERVL\"], [\"mh22SCUZJ-0043764\", \"AluYk4|SINE|Alu,L1MB2|LINE|L1\"], [\"mh22WL-006.v2\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh22WL-006.v3\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh22SCUZJ-0056582\", \"(CTCT)n|Simple_repeat\"], [\"mh22WL-007.v2\", \"(CA)n|Simple_repeat\"], [\"mh22WL-007.v1\", \"(CA)n|Simple_repeat\"], [\"mh22SCUZJ-0107341\", \"MLT1I|LTR|ERVL-MaLR,MIR|SINE,AluY|SINE|Alu\"], [\"mh22PK-104638\", \"MIRc|SINE|MIR\"], [\"mh22USC-22qB.v1\", \"L1ME3A|LINE|L1\"], [\"mh22USC-22qB.v3\", \"L1ME3A|LINE|L1\"], [\"mh22USC-22qB.v2\", \"L1ME3A|LINE|L1\"], [\"mh22SCUZJ-0135192\", \"L1MCb|LINE|L1,AluY|SINE|Alu\"], [\"mh22SCUZJ-0146198\", \"AluY|SINE|Alu,LTR87|LTR|ERVL?\"], [\"mh22WL-015\", \"LTR8|LTR|ERV1,LTR8|LTR|ERV1,LTR8|LTR|ERV1\"], [\"mh0XUSC-XpB\", \"MER102c|DNA|hAT-Charlie\"], [\"mh0XUSC-XqB\", \"L1PBa|LINE|L1\"], [\"mh0XUSC-XqC\", \"LTR25-int|LTR|ERV1\"], [\"mh0XUSC-XqH\", \"L1M4|LINE|L1\"]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "print(json.dumps(rep_markers))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6eb4796d-43fa-4586-acf5-b012a55b9798",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rep_markers = [[\"mh01LW-3\", \"AluJo|SINE|Alu,MIRc|SINE|MIR\"], [\"mh01SCUZJ-0000740\", \"AluY|SINE|Alu\"], [\"mh01WL-097.v2\", \"(CTTACACATG)n|Simple_repeat\"], [\"mh01SCUZJ-0016447\", \"MER41D|LTR|ERV1,L1MC1|LINE|L1,THE1B|LTR|ERVL-MaLR\"], [\"mh01KK-106\", \"MIRb|SINE|MIR\"], [\"mh01WL-095\", \"L2b|LINE|L2\"], [\"mh01SCUZJ-0041531\", \"AluY|SINE|Alu,(AAAT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh01WL-098\", \"(GTTT)n|Simple_repeat\"], [\"mh01CP-007\", \"MIRc|SINE|MIR\"], [\"mh01CP-008\", \"AluY|SINE|Alu\"], [\"mh01SCUZJ-0062205\", \"L1MC4a|LINE|L1,AluSz|SINE|Alu,L1MC4a|LINE|L1\"], [\"mh01ZBF-001\", \"AluY|SINE|Alu,L3|LINE|CR1\"], [\"mh01NH-02\", \"L1ME5|LINE|L1\"], [\"mh01WL-080\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0076454\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0081962\", \"AluY|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh01SCUZJ-0082140\", \"(CTGCCCCT)n|Simple_repeat,L2|LINE\"], [\"mh01WL-107\", \"MIRb|SINE|MIR\"], [\"mh01KK-210\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0098514\", \"L3|LINE|CR1,L2a|LINE|L2\"], [\"mh01WL-086\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0109665.v1\", \"MIR3|SINE|MIR\"], [\"mh01SCUZJ-0109665.v2\", \"MIR3|SINE|MIR\"], [\"mh01WL-081\", \"(GCAAGT)n|Simple_repeat\"], [\"mh01SHY-001\", \"L2a|LINE|L2\"], [\"mh01WL-116\", \"(CTGCT)n|Simple_repeat\"], [\"mh01SCUZJ-0156524\", \"L2c|LINE|L2,MIR|SINE,L2c|LINE|L2\"], [\"mh01SCUZJ-0165190\", \"LTR5A|LTR|ERVK\"], [\"mh01CP-016\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0212470\", \"HERVH-int|LTR|ERV1\"], [\"mh01SCUZJ-0237331\", \"LTR12C|LTR|ERV1\"], [\"mh01USC-1pC\", \"MLT1E1|LTR|ERVL-MaLR\"], [\"mh01WL-088.v2\", \"L1ME3G|LINE|L1\"], [\"mh01SCUZJ-0258509\", \"AluSc8|SINE|Alu\"], [\"mh01SCUZJ-0260152\", \"AluSz|SINE|Alu,AluJb|SINE|Alu\"], [\"mh01WL-083\", \"(CTTT)n|Simple_repeat\"], [\"mh01SCUZJ-0270838\", \"MER77|LTR|ERVL,L1PA3|LINE|L1\"], [\"mh01SCUZJ-0275072\", \"(ATATACAC)n|Simple_repeat,(TATATG)n|Simple_repeat\"], [\"mh01WL-078\", \"L1ME3|LINE|L1\"], [\"mh01SCUZJ-0285696\", \"OldhAT1|DNA|hAT-Ac,MLT1K|LTR|ERVL-MaLR\"], [\"mh01SCUZJ-0291678\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh01SCUZJ-0293896\", \"MIRc|SINE|MIR\"], [\"mh01WL-114\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0312202\", \"AluY|SINE|Alu\"], [\"mh01SCUZJ-0338874\", \"AluSz|SINE|Alu,(TAA)n|Simple_repeat,(AAG)n|Simple_repeat\"], [\"mh01SCUZJ-0357248\", \"ALR/Alpha|Satellite|centr\"], [\"mh01SCUZJ-0357485\", \"ALR/Alpha|Satellite|centr\"], [\"mh01SCUZJ-0379058\", \"AluSp|SINE|Alu,L2c|LINE|L2\"], [\"mh01SCUZJ-0396461\", \"MER57F|LTR|ERV1\"], [\"mh01KK-211.v4\", \"(GGAAGTG)n|Simple_repeat\"], [\"mh01SCUZJ-0398141\", \"MIRc|SINE|MIR,MER94|DNA|hAT-Blackjack,AluJr|SINE|Alu\"], [\"mh01SCUZJ-0404628\", \"MIR|SINE\"], [\"mh01SCUZJ-0458139\", \"HERVH-int|LTR|ERV1\"], [\"mh01USC-1qB\", \"MIRb|SINE|MIR\"], [\"mh01ZHA-009\", \"MIRb|SINE|MIR\"], [\"mh01SCUZJ-0481939\", \"(TTCC)n|Simple_repeat\"], [\"mh01SCUZJ-0483367\", \"(AT)n|Simple_repeat,(GT)n|Simple_repeat,L1MC4a|LINE|L1\"], [\"mh01SCUZJ-0506502\", \"(GGAGCC)n|Simple_repeat\"], [\"mh01SCUZJ-0508420\", \"(TA)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh01USC-1qC.v2\", \"AluJb|SINE|Alu,L1MC2|LINE|L1\"], [\"mh01USC-1qC.v1\", \"L1MC2|LINE|L1\"], [\"mh01SCUZJ-0533772\", \"UCON132b|DNA|hAT-Tip100\"], [\"mh01WL-047.v1\", \"MLT1O|LTR|ERVL-MaLR\"], [\"mh01WL-047.v2\", \"MLT1O|LTR|ERVL-MaLR\"], [\"mh01SCUZJ-0568347\", \"L2a|LINE|L2\"], [\"mh01WL-074\", \"(CTGCCC)n|Simple_repeat\"], [\"mh01SCUZJ-0577309\", \"(TTTA)n|Simple_repeat,MER66B|LTR|ERV1,LTR85c|LTR|Gypsy?,AluJr|SINE|Alu\"], [\"mh01SCUZJ-0582920\", \"L1PA4|LINE|L1\"], [\"mh01SCUZJ-0583641\", \"(ACATAT)n|Simple_repeat\"], [\"mh01SCUZJ-0589288\", \"L1ME4a|LINE|L1\"], [\"mh01SCUZJ-0598913\", \"MER104|DNA|TcMar-Tc2\"], [\"mh01SCUZJ-0604411\", \"AluJo|SINE|Alu,(TG)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh01KK-213.v3\", \"LTR36|LTR|ERV1\"], [\"mh01KK-213.v1\", \"LTR36|LTR|ERV1\"], [\"mh01KK-213.v2\", \"LTR36|LTR|ERV1\"], [\"mh01SCUZJ-0617755\", \"AluSc8|SINE|Alu,L2a|LINE|L2,(CT)n|Simple_repeat,L2a|LINE|L2\"], [\"mh01SCUZJ-0633517\", \"AluSc|SINE|Alu,MER21B|LTR|ERVL\"], [\"mh01SCUZJ-0638849\", \"AluY|SINE|Alu\"], [\"mh01HYP-02\", \"AluJr|SINE|Alu\"], [\"mh01SCUZJ-0662222\", \"AluY|SINE|Alu,FLAM_C|SINE|Alu\"], [\"mh01SCUZJ-0667867\", \"AluY|SINE|Alu\"], [\"mh01SCUZJ-0675568\", \"AluY|SINE|Alu,Tigger1|DNA|TcMar-Tigger\"], [\"mh02SCUZJ-0004047.v1\", \"L1M5|LINE|L1\"], [\"mh02SCUZJ-0013841\", \"MIRc|SINE|MIR\"], [\"mh02SCUZJ-0025110\", \"AluSx|SINE|Alu\"], [\"mh02SCUZJ-0030534\", \"(TC)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh02SCUZJ-0032084\", \"(TC)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh02SCUZJ-0038503\", \"(CG)n|Simple_repeat,(CA)n|Simple_repeat,(AG)n|Simple_repeat,L1ME4a|LINE|L1,MIRc|SINE|MIR\"], [\"mh02SCUZJ-0043006\", \"(TA)n|Simple_repeat\"], [\"mh02SCUZJ-0044444\", \"(TA)n|Simple_repeat,(GTATAC)n|Simple_repeat,(TA)n|Simple_repeat,L1ME3Cz|LINE|L1,AluSx1|SINE|Alu\"], [\"mh02SCUZJ-0061890\", \"LTR78|LTR|ERV1,MIRb|SINE|MIR\"], [\"mh02ZHA-001\", \"MIRc|SINE|MIR\"], [\"mh02SCUZJ-0067070\", \"(GT)n|Simple_repeat\"], [\"mh02SCUZJ-0082461\", \"LTR5A|LTR|ERVK\"], [\"mh02LV-08.v2\", \"AluSc5|SINE|Alu\"], [\"mh02LV-08.v1\", \"AluSc5|SINE|Alu\"], [\"mh02NH-05\", \"MamGypLTR1a|LTR|Gypsy\"], [\"mh02SCUZJ-0105665\", \"L1ME3D|LINE|L1,MamRep38|DNA|hAT\"], [\"mh02SCUZJ-0127632\", \"LTR89|LTR|ERVL?\"], [\"mh02WL-088.v2\", \"MIRc|SINE|MIR\"], [\"mh02WL-088.v1\", \"MIRc|SINE|MIR\"], [\"mh02SCUZJ-0148472\", \"(GA)n|Simple_repeat\"], [\"mh02LW-6\", \"FRAM|SINE|Alu\"], [\"mh02SCUZJ-0157891\", \"L1PA2|LINE|L1\"], [\"mh02SCUZJ-0160617\", \"L1MB3|LINE|L1\"], [\"mh02WL-007\", \"LTR41|LTR|ERVL,(GT)n|Simple_repeat\"], [\"mh02SCUZJ-0190002.v1\", \"AluY|SINE|Alu\"], [\"mh02SCUZJ-0190002.v2\", \"AluY|SINE|Alu\"], [\"mh02SCUZJ-0202886\", \"GA-rich|Low_complexity,(AGAA)n|Simple_repeat,GA-rich|Low_complexity\"], [\"mh02WL-069\", \"MIR|SINE\"], [\"mh02SCUZJ-0224273.v1\", 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[\"mh03SCUZJ-0234425\", \"AluSp|SINE|Alu\"], [\"mh03SCUZJ-0242802\", \"MER2|DNA|TcMar-Tigger\"], [\"mh03HYP-07\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0257419\", \"AluJb|SINE|Alu,MLT1L|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0306913\", \"L1MA3|LINE|L1,L2a|LINE|L2\"], [\"mh03KK-018.v1\", \"Charlie2b|DNA|hAT-Charlie\"], [\"mh03KK-018.v2\", \"Charlie2b|DNA|hAT-Charlie\"], [\"mh03SCUZJ-0392555\", \"L1PA3|LINE|L1\"], [\"mh03WL-074\", \"L4_A_Mam|LINE|RTE-X\"], [\"mh03SCUZJ-0400856\", \"L1PA6|LINE|L1\"], [\"mh03SCUZJ-0421208\", \"(GT)n|Simple_repeat,GA-rich|Low_complexity,(GT)n|Simple_repeat\"], [\"mh03KK-150.v3\", \"MIRb|SINE|MIR\"], [\"mh03KK-150.v1\", \"MIRb|SINE|MIR,(TTTTG)n|Simple_repeat\"], [\"mh03KK-150.v2\", \"MIRb|SINE|MIR,(TTTTG)n|Simple_repeat\"], [\"mh03SCUZJ-0436981\", \"SVA_D|Retroposon|SVA\"], [\"mh03WL-064\", \"MamRTE1|LINE|RTE-BovB\"], [\"mh03USC-3qB\", \"MLT1D|LTR|ERVL-MaLR\"], [\"mh03SCUZJ-0455199\", \"L1PA6|LINE|L1\"], [\"mh03WL-017.v1\", \"L3|LINE|CR1\"], [\"mh03WL-017.v2\", 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[\"mh04SCUZJ-0094786\", \"AluSx3|SINE|Alu,L1M5|LINE|L1\"], [\"mh04SCUZJ-0098303\", \"MLT1F2|LTR|ERVL-MaLR,MER94|DNA|hAT-Blackjack\"], [\"mh04SCUZJ-0115278.v1\", \"MLT2A1|LTR|ERVL,(TA)n|Simple_repeat\"], [\"mh04SCUZJ-0115278.v2\", \"(TA)n|Simple_repeat\"], [\"mh04SCUZJ-0126299\", \"MSTB1|LTR|ERVL-MaLR\"], [\"mh04CP-002\", \"L2b|LINE|L2\"], [\"mh04SCUZJ-0128388\", \"AluSg|SINE|Alu,L1ME1|LINE|L1,(GT)n|Simple_repeat\"], [\"mh04WL-091\", \"MER33|DNA|hAT-Charlie\"], [\"mh04WL-031.v1\", \"(TG)n|Simple_repeat\"], [\"mh04WL-031.v3\", \"(TG)n|Simple_repeat\"], [\"mh04WL-031.v2\", \"(TG)n|Simple_repeat\"], [\"mh04LW-13\", \"LTR12C|LTR|ERV1\"], [\"mh04SCUZJ-0175374\", \"LTR16A|LTR|ERVL\"], [\"mh04USC-4pB\", \"MIRc|SINE|MIR\"], [\"mh04KK-011.v2\", \"Charlie5|DNA|hAT-Charlie\"], [\"mh04KK-011.v1\", \"Charlie5|DNA|hAT-Charlie\"], [\"mh04SCUZJ-0194557.v1\", \"(AT)n|Simple_repeat\"], [\"mh04SCUZJ-0194557.v2\", \"(AT)n|Simple_repeat\"], [\"mh04SCUZJ-0216446.v1\", \"MLT2D|LTR|ERVL,AluY|SINE|Alu\"], 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[\"mh10SHY-002.v2\", \"MIRb|SINE|MIR,(GCT)n|Simple_repeat\"], [\"mh10SHY-002.v3\", \"(GCT)n|Simple_repeat,L2b|LINE|L2\"], [\"mh10SCUZJ-0378284.v1\", \"AluY|SINE|Alu\"], [\"mh10SCUZJ-0378284.v2\", \"AluY|SINE|Alu\"], [\"mh10SCUZJ-0380360\", \"AluYm1|SINE|Alu,AluSp|SINE|Alu\"], [\"mh10SCUZJ-0387827\", \"L1PA2|LINE|L1\"], [\"mh10WL-018.v2\", \"AluJb|SINE|Alu\"], [\"mh10WL-018.v1\", \"AluJb|SINE|Alu,L2a|LINE|L2\"], [\"mh10WL-058.v2\", \"(GT)n|Simple_repeat\"], [\"mh10SCUZJ-0417848\", \"HAL1|LINE|L1,HAL1|LINE|L1\"], [\"mh10SCUZJ-0424390\", \"(GT)n|Simple_repeat\"], [\"mh10SCUZJ-0434622\", \"MER5B|DNA|hAT-Charlie,AluY|SINE|Alu\"], [\"mh10WL-001.v2\", \"AluY|SINE|Alu,L1ME3G|LINE|L1\"], [\"mh10WL-001.v1\", \"L1ME3G|LINE|L1\"], [\"mh10SCUZJ-0450180\", \"AluSx1|SINE|Alu,L2c|LINE|L2\"], [\"mh10SCUZJ-0458855\", \"L2a|LINE|L2\"], [\"mh10WL-046.v2\", \"MIRb|SINE|MIR,MER58A|DNA|hAT-Charlie\"], [\"mh10WL-046.v1\", \"MER58A|DNA|hAT-Charlie\"], [\"mh10WL-004\", 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[\"mh11USC-11pA\", \"Charlie25|DNA|hAT-Charlie\"], [\"mh11SCUZJ-0077457\", \"(TTCT)n|Simple_repeat\"], [\"mh11SCUZJ-0078959\", \"MER41B|LTR|ERV1,AluSc8|SINE|Alu,AluSz|SINE|Alu\"], [\"mh11KK-183.v2\", \"L2b|LINE|L2\"], [\"mh11KK-183.v1\", \"L2b|LINE|L2\"], [\"mh11KK-183.v3\", \"L2b|LINE|L2\"], [\"mh11CP-004\", \"MER21C|LTR|ERVL\"], [\"mh11WL-053\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0102261\", \"MER63A|DNA|hAT-Blackjack,MLT1J|LTR|ERVL-MaLR\"], [\"mh11SCUZJ-0148662\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0176211\", \"SATR1|Satellite\"], [\"mh11HYP-27\", \"MIRc|SINE|MIR\"], [\"mh11SCUZJ-0199321\", \"ALR/Alpha|Satellite|centr\"], [\"mh11SCUZJ-0200688\", \"L1PA2|LINE|L1\"], [\"mh11SCUZJ-0215793\", \"LTR28C|LTR|ERV1\"], [\"mh11SCUZJ-0216329\", \"SVA_F|Retroposon|SVA\"], [\"mh11WL-044\", \"MIRb|SINE|MIR\"], [\"mh11SCUZJ-0227031\", \"AluSz6|SINE|Alu,AluY|SINE|Alu,AluSz6|SINE|Alu\"], [\"mh11SCUZJ-0232565\", \"LTR5A|LTR|ERVK\"], [\"mh11WL-027.v2\", \"MER6B|DNA|TcMar-Tigger\"], [\"mh11SCUZJ-0244173\", 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\"L2a|LINE|L2,MLT1J2|LTR|ERVL-MaLR,L1MEj|LINE|L1\"], [\"mh11KK-103\", \"MER74B|LTR|ERVL\"], [\"mh11KK-090\", \"L2c|LINE|L2\"], [\"mh11WL-056\", \"L2c|LINE|L2\"], [\"mh11SCUZJ-0385048\", \"Plat_L3|LINE|CR1,X7C_LINE|LINE|CR1\"], [\"mh11FHL-007\", \"AluY|SINE|Alu\"], [\"mh11SCUZJ-0395195\", \"MIR1_Amn|SINE|MIR\"], [\"mh11WL-003.v1\", \"(TG)n|Simple_repeat\"], [\"mh11WL-003.v2\", \"(TG)n|Simple_repeat\"], [\"mh11SCUZJ-0402779\", \"LTR5A|LTR|ERVK\"], [\"mh11WL-023\", \"L2c|LINE|L2\"], [\"mh11SCUZJ-0413561.v1\", \"AluSg|SINE|Alu\"], [\"mh11SCUZJ-0413561.v2\", \"AluSg|SINE|Alu\"], [\"mh11SCUZJ-0422708\", \"L1MC1|LINE|L1,AluY|SINE|Alu\"], [\"mh11USC-11qC.v2\", \"L3|LINE|CR1,L2c|LINE|L2,L3|LINE|CR1\"], [\"mh11USC-11qC.v1\", \"L2c|LINE|L2,L3|LINE|CR1\"], [\"mh11SCUZJ-0428324\", \"L3|LINE|CR1\"], [\"mh11WL-043\", \"(AC)n|Simple_repeat\"], [\"mh12SCUZJ-0000863\", \"AluY|SINE|Alu\"], [\"mh12WL-011.v1\", \"L2a|LINE|L2\"], [\"mh12SCUZJ-0004616\", \"AluSg|SINE|Alu,AluJr|SINE|Alu\"], [\"mh12CP-008\", 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[\"mh12SCUZJ-0223636.v1\", \"THE1B|LTR|ERVL-MaLR,L2c|LINE|L2\"], [\"mh12SCUZJ-0223636.v3\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh12SCUZJ-0223636.v2\", \"THE1B|LTR|ERVL-MaLR,L2c|LINE|L2\"], [\"mh12USC-12qB\", \"MIRc|SINE|MIR\"], [\"mh12SCUZJ-0234264\", \"L2a|LINE|L2,(TA)n|Simple_repeat,L2a|LINE|L2,AluJr|SINE|Alu\"], [\"mh12WL-056\", \"(A)n|Simple_repeat\"], [\"mh12SCUZJ-0253825\", \"AluSz|SINE|Alu,(AT)n|Simple_repeat,(TG)n|Simple_repeat,(AT)n|Simple_repeat,(TG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh12WL-005.v2\", \"MIRc|SINE|MIR\"], [\"mh12SCUZJ-0265665.v1\", \"(TATA)n|Simple_repeat\"], [\"mh12SCUZJ-0265665.v2\", \"(TATA)n|Simple_repeat\"], [\"mh12WL-032\", \"L1ME4b|LINE|L1\"], [\"mh12ZHA-008\", \"MER61-int|LTR|ERV1\"], [\"mh12HYP-31\", \"(AG)n|Simple_repeat\"], [\"mh12SCUZJ-0284369\", \"L1MA4A|LINE|L1,(TA)n|Simple_repeat,(TG)n|Simple_repeat,(TA)n|Simple_repeat,L1MA4A|LINE|L1\"], [\"mh12SCUZJ-0285704\", \"MER70-int|LTR|ERVL,MER70-int|LTR|ERVL\"], [\"mh12WL-018.v2\", \"MIR|SINE\"], [\"mh12SCUZJ-0308915\", \"L1PA16|LINE|L1,(TAAAA)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh12SCUZJ-0311722\", \"L2b|LINE|L2\"], [\"mh12WL-004\", \"(CCCAC)n|Simple_repeat\"], [\"mh12SCUZJ-0326486.v1\", \"AluSz|SINE|Alu\"], [\"mh12SCUZJ-0326486.v2\", \"AluSz|SINE|Alu,(TCCTC)n|Simple_repeat\"], [\"mh12SCUZJ-0331644\", \"(CACACC)n|Simple_repeat\"], [\"mh12SCUZJ-0345285\", \"(TTC)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh12SCUZJ-0347622\", \"AluYg6|SINE|Alu,MLT1I|LTR|ERVL-MaLR\"], [\"mh12WL-059\", \"(GCATG)n|Simple_repeat\"], [\"mh12SCUZJ-0363998\", \"SVA_B|Retroposon|SVA\"], [\"mh12SCUZJ-0364164\", \"Tigger3c|DNA|TcMar-Tigger,AluY|SINE|Alu\"], [\"mh12SCUZJ-0374276\", \"AluY|SINE|Alu,Charlie1a|DNA|hAT-Charlie\"], [\"mh12SCUZJ-0382800\", \"MLT1D|LTR|ERVL-MaLR\"], [\"mh12SCUZJ-0396248\", \"L1PB4|LINE|L1,AluSx3|SINE|Alu\"], [\"mh12KK-209\", \"MIR|SINE\"], [\"mh12SCUZJ-0420557\", \"L2b|LINE|L2\"], [\"mh12SCUZJ-0423152\", \"MER47A|DNA|TcMar-Tigger\"], [\"mh12SCUZJ-0429356.v1\", \"L1MD2|LINE|L1,(TA)n|Simple_repeat,MIRc|SINE|MIR\"], [\"mh12SCUZJ-0429356.v2\", \"(TA)n|Simple_repeat,MIRc|SINE|MIR\"], [\"mh13SCUZJ-0013697\", \"L1MB2|LINE|L1\"], [\"mh13SCUZJ-0022455\", \"(CA)n|Simple_repeat\"], [\"mh13CP-008\", \"L1PA4|LINE|L1\"], [\"mh13SCUZJ-0036837\", \"L1MA4|LINE|L1,(AT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh13SCUZJ-0039899\", \"MLT1B|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0045733\", \"AluY|SINE|Alu\"], [\"mh13SCUZJ-0049124\", \"AluSz6|SINE|Alu,AluSx|SINE|Alu\"], [\"mh13CP-010\", \"AluJr|SINE|Alu\"], [\"mh13SCUZJ-0064820\", \"L1MA8|LINE|L1,AluY|SINE|Alu\"], [\"mh13SHY-002\", \"Tigger15a|DNA|TcMar-Tigger,(TTGG)n|Simple_repeat\"], [\"mh13SCUZJ-0098743\", \"AluY|SINE|Alu,Charlie4a|DNA|hAT-Charlie\"], [\"mh13FHL-002\", \"L2b|LINE|L2\"], [\"mh13WL-037.v2\", \"L2|LINE\"], [\"mh13WL-037.v1\", \"L2|LINE\"], [\"mh13SCUZJ-0108086\", \"SVA_F|Retroposon|SVA\"], [\"mh13SCUZJ-0115873\", \"AluSz|SINE|Alu\"], [\"mh13KK-218.v2\", \"AluSq|SINE|Alu,MER21C|LTR|ERVL\"], [\"mh13KK-218.v5\", \"AluSq|SINE|Alu,MER21C|LTR|ERVL\"], [\"mh13KK-218.v6\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v3\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v1\", \"MER21C|LTR|ERVL\"], [\"mh13KK-218.v4\", \"MER21C|LTR|ERVL\"], [\"mh13SCUZJ-0139792\", \"LTR78|LTR|ERV1\"], [\"mh13LV-10.v2\", \"AluSg|SINE|Alu\"], [\"mh13LV-10.v1\", \"AluSg|SINE|Alu\"], [\"mh13WL-044\", \"MER52C|LTR|ERV1\"], [\"mh13SCUZJ-0192805\", \"L1PB4|LINE|L1,(TA)n|Simple_repeat,(AC)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh13WL-043\", \"(ATTG)n|Simple_repeat\"], [\"mh13LW-33\", \"L1PB1|LINE|L1\"], [\"mh13SCUZJ-0205653\", \"L1M4b|LINE|L1,L1MDa|LINE|L1\"], [\"mh13SCUZJ-0227626.v1\", \"HERVH-int|LTR|ERV1,HERVH-int|LTR|ERV1\"], [\"mh13SCUZJ-0227626.v2\", \"HERVH-int|LTR|ERV1\"], [\"mh13SCUZJ-0230728\", \"AluJb|SINE|Alu\"], [\"mh13WL-033\", \"(AT)n|Simple_repeat\"], [\"mh13SCUZJ-0255446.v1\", \"AluSq2|SINE|Alu\"], [\"mh13SCUZJ-0255446.v2\", \"AluSq2|SINE|Alu\"], [\"mh13WL-027\", \"MamTip3|DNA|hAT-Tip100\"], [\"mh13WL-045\", \"UCON100|DNA?\"], [\"mh13KK-221.v1\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh13KK-221.v2\", \"THE1B|LTR|ERVL-MaLR\"], [\"mh13LW-34\", \"MLT1F2|LTR|ERVL-MaLR\"], [\"mh13ZHA-002\", \"THE1D|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0279353\", \"MER5A|DNA|hAT-Charlie,MER5A|DNA|hAT-Charlie\"], [\"mh13SCUZJ-0285465\", \"AluY|SINE|Alu\"], [\"mh13KK-222.v2\", \"(ATAATTT)n|Simple_repeat,MER20|DNA|hAT-Charlie\"], [\"mh13KK-222.v1\", \"(ATAATTT)n|Simple_repeat,MER20|DNA|hAT-Charlie\"], [\"mh13SCUZJ-0297911\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh13SCUZJ-0304208\", \"MIRc|SINE|MIR,(TC)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh13SCUZJ-0312967\", \"AluY|SINE|Alu\"], [\"mh13SCUZJ-0333799\", \"LTR5A|LTR|ERVK\"], [\"mh14SCUZJ-0004208\", \"LTR5A|LTR|ERVK\"], [\"mh14WL-012\", \"L1ME3Cz|LINE|L1\"], [\"mh14SCUZJ-0022537\", \"AluJo|SINE|Alu,AluJo|SINE|Alu\"], [\"mh14SCUZJ-0022925\", \"AluY|SINE|Alu\"], [\"mh14WL-018\", \"(TTAT)n|Simple_repeat,(TTTATTT)n|Simple_repeat\"], [\"mh14WL-036.v2\", \"MIRb|SINE|MIR\"], [\"mh14WL-036.v3\", \"MIRb|SINE|MIR\"], [\"mh14WL-032\", \"MamRTE1|LINE|RTE-BovB\"], [\"mh14SCUZJ-0040957.v1\", \"AluY|SINE|Alu\"], [\"mh14SCUZJ-0040957.v2\", \"AluY|SINE|Alu\"], [\"mh14PK-72639\", \"U6|snRNA\"], [\"mh14SCUZJ-0045150\", \"MIR|SINE\"], [\"mh14CP-003\", \"L1MA2|LINE|L1\"], [\"mh14SCUZJ-0050462\", \"SVA_F|Retroposon|SVA\"], [\"mh14SHY-001\", \"MIRb|SINE|MIR,L1P4|LINE|L1,L1PA16|LINE|L1\"], [\"mh14CP-004\", \"L1PA7|LINE|L1\"], [\"mh14WL-041\", \"(TCCT)n|Simple_repeat\"], [\"mh14SCUZJ-0072608\", \"L1PA17|LINE|L1\"], [\"mh14LW-36\", \"THE1A|LTR|ERVL-MaLR\"], [\"mh14SCUZJ-0080108\", \"L1PA3|LINE|L1\"], [\"mh14SCUZJ-0080546\", \"L1PA3|LINE|L1\"], [\"mh14SCUZJ-0096560\", \"L1M2|LINE|L1,L1MEh|LINE|L1\"], [\"mh14SCUZJ-0105332.v1\", \"AluYk3|SINE|Alu\"], [\"mh14SCUZJ-0105332.v2\", \"AluYk3|SINE|Alu\"], [\"mh14KK-227.v1\", \"L2c|LINE|L2\"], [\"mh14KK-227.v2\", \"L2c|LINE|L2\"], [\"mh14KK-227.v3\", \"L2c|LINE|L2,L2c|LINE|L2\"], [\"mh14KK-227.v4\", \"L2c|LINE|L2\"], [\"mh14SHY-002.v1\", \"(TAAT)n|Simple_repeat\"], [\"mh14ZHA-003\", \"MLT2B1|LTR|ERVL\"], [\"mh14WL-030.v2\", \"MIR|SINE\"], [\"mh14SCUZJ-0167395\", \"MER5A|DNA|hAT-Charlie,(ATTT)n|Simple_repeat,AluYc|SINE|Alu\"], [\"mh14SCUZJ-0172480\", \"MLT1I|LTR|ERVL-MaLR\"], [\"mh14WL-003.v2\", \"L2a|LINE|L2\"], [\"mh14SCUZJ-0187337\", \"MLT1A|LTR|ERVL-MaLR,L1MC5|LINE|L1,L1MC5|LINE|L1,(TA)n|Simple_repeat,L1MC5|LINE|L1\"], [\"mh14WL-033\", \"MIRb|SINE|MIR\"], [\"mh14SCUZJ-0215156\", \"MLT1C|LTR|ERVL-MaLR,(TA)n|Simple_repeat,(AC)n|Simple_repeat\"], [\"mh14WL-005.v1\", \"MIR1_Amn|SINE|MIR,MLT1O|LTR|ERVL-MaLR\"], [\"mh14WL-005.v2\", \"MLT1O|LTR|ERVL-MaLR,L1MB7|LINE|L1\"], [\"mh14SCUZJ-0229993\", \"MER63B|DNA|hAT-Blackjack,(TTCC)n|Simple_repeat,AluSx1|SINE|Alu\"], [\"mh14SCUZJ-0235514\", \"L1M5|LINE|L1,(CG)n|Simple_repeat,(CA)n|Simple_repeat\"], [\"mh14USC-14qD\", \"LTR33A_|LTR|ERVL\"], [\"mh14SCUZJ-0250160\", \"AluY|SINE|Alu,L1MB3|LINE|L1,L1MA7|LINE|L1\"], [\"mh14SCUZJ-0253455\", \"MIRb|SINE|MIR,AluSc8|SINE|Alu\"], [\"mh14SCUZJ-0275315\", \"L1MA4A|LINE|L1,LTR71B|LTR|ERV1\"], [\"mh14KK-101\", \"L1MEh|LINE|L1\"], [\"mh14ZHA-006\", \"L2|LINE\"], [\"mh15SCUZJ-0008964\", \"MLT1F2|LTR|ERVL-MaLR,L1MD3|LINE|L1,L1ME3B|LINE|L1\"], [\"mh15PK-75170\", \"LTR12_|LTR|ERV1\"], [\"mh15SCUZJ-0023436\", \"MLT1E2|LTR|ERVL-MaLR\"], [\"mh15SCUZJ-0026421\", \"L1PA10|LINE|L1\"], [\"mh15USC-15qA\", \"L2|LINE\"], [\"mh15SCUZJ-0051888\", \"AluJb|SINE|Alu,L1MA2|LINE|L1,LTR2B|LTR|ERV1\"], [\"mh15ZBF-001\", \"L1MC4a|LINE|L1\"], [\"mh15CP-001\", \"(AT)n|Simple_repeat,AluJo|SINE|Alu\"], [\"mh15SHY-001.v1\", \"L2c|LINE|L2\"], [\"mh15SHY-001.v3\", \"L2c|LINE|L2\"], [\"mh15CP-004\", \"A-rich|Low_complexity\"], [\"mh15SCUZJ-0082880\", \"L1ME2|LINE|L1\"], [\"mh15CP-003\", \"L1MC4|LINE|L1,L1PA10|LINE|L1\"], [\"mh15SCUZJ-0090980\", \"SVA_D|Retroposon|SVA\"], [\"mh15SCUZJ-0094561\", \"AluSc8|SINE|Alu,MER41B|LTR|ERV1,AluSc8|SINE|Alu\"], [\"mh15WL-034\", \"MIRc|SINE|MIR\"], [\"mh15SCUZJ-0124652\", 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[\"mh15SCUZJ-0230315\", \"L1PA12|LINE|L1,MER20|DNA|hAT-Charlie,AluY|SINE|Alu\"], [\"mh15SCUZJ-0231729\", \"L1MEd|LINE|L1,AluY|SINE|Alu\"], [\"mh15SCUZJ-0236854\", \"THE1B|LTR|ERVL-MaLR,L1MC5|LINE|L1\"], [\"mh15SHY-004.v1\", \"L2c|LINE|L2\"], [\"mh15SHY-004.v2\", \"L2c|LINE|L2\"], [\"mh15SHY-004.v3\", \"L2c|LINE|L2,L2c|LINE|L2\"], [\"mh15SCUZJ-0244385\", \"HERVH-int|LTR|ERV1,HERVH-int|LTR|ERV1\"], [\"mh15SCUZJ-0251770.v1\", \"AluY|SINE|Alu,L1ME3A|LINE|L1\"], [\"mh15SCUZJ-0251770.v2\", \"AluY|SINE|Alu,L1ME3A|LINE|L1\"], [\"mh15SCUZJ-0255931.v1\", \"AluYa5|SINE|Alu\"], [\"mh15SCUZJ-0255931.v2\", \"AluYa5|SINE|Alu\"], [\"mh15SCUZJ-0267777\", \"AluY|SINE|Alu\"], [\"mh16SCUZJ-0001338\", \"AluY|SINE|Alu,AluY|SINE|Alu\"], [\"mh16WL-011\", \"L1M5|LINE|L1\"], [\"mh16WL-035\", \"MIRc|SINE|MIR\"], [\"mh16SCUZJ-0020639\", \"AluY|SINE|Alu\"], [\"mh16SCUZJ-0025649\", \"MIRb|SINE|MIR\"], [\"mh16WL-048\", \"MER5B|DNA|hAT-Charlie,L2a|LINE|L2\"], [\"mh16WL-030\", \"MIRb|SINE|MIR\"], [\"mh16KK-049.v2\", 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[\"mh17SCUZJ-0056311\", \"L1M1|LINE|L1\"], [\"mh17SCUZJ-0068277\", \"L1MC1|LINE|L1\"], [\"mh17SCUZJ-0069199\", \"AluJo|SINE|Alu,A-rich|Low_complexity\"], [\"mh17CP-006\", \"L1ME1|LINE|L1\"], [\"mh17CP-005\", \"AluSq|SINE|Alu\"], [\"mh17SCUZJ-0090327.v1\", \"ALR/Alpha|Satellite|centr\"], [\"mh17SCUZJ-0090327.v2\", \"ALR/Alpha|Satellite|centr\"], [\"mh17USC-17qA\", \"L2b|LINE|L2\"], [\"mh17WL-035\", \"MIRb|SINE|MIR\"], [\"mh17SCUZJ-0114315\", \"L1MA5A|LINE|L1,AluJb|SINE|Alu\"], [\"mh17SCUZJ-0115879\", \"(T)n|Simple_repeat,AluJr|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh17SCUZJ-0116654\", \"A-rich|Low_complexity\"], [\"mh17WL-027\", \"HAL1b|LINE|L1\"], [\"mh17LW-44\", \"LTR13|LTR|ERVK\"], [\"mh17SCUZJ-0126774\", \"(TGG)n|Simple_repeat\"], [\"mh17KK-077\", \"MER20|DNA|hAT-Charlie\"], [\"mh17SCUZJ-0133238\", \"L1MA5A|LINE|L1,AluSx|SINE|Alu\"], [\"mh17SCUZJ-0135202\", \"(TGCA)n|Simple_repeat,(ATAC)n|Simple_repeat\"], [\"mh17SCUZJ-0137941.v1\", \"AluSx3|SINE|Alu,HAL1b|LINE|L1\"], [\"mh17SCUZJ-0137941.v2\", \"AluSx3|SINE|Alu,HAL1b|LINE|L1\"], [\"mh17WL-015.v2\", \"MIR|SINE\"], [\"mh17KK-110\", \"MER5A1|DNA|hAT-Charlie\"], [\"mh17SCUZJ-0176838\", \"AluY|SINE|Alu\"], [\"mh17SCUZJ-0197814\", \"L2c|LINE|L2\"], [\"mh17SCUZJ-0199582\", \"Charlie7|DNA|hAT-Charlie,AluY|SINE|Alu\"], [\"mh17SCUZJ-0200979\", \"AluY|SINE|Alu\"], [\"mh17KK-012.v1\", \"MER5A1|DNA|hAT-Charlie,MER5B|DNA|hAT-Charlie\"], [\"mh17KK-012.v2\", \"MER5A1|DNA|hAT-Charlie,MER5B|DNA|hAT-Charlie\"], [\"mh17KK-013.v1\", \"(CA)n|Simple_repeat\"], [\"mh17KK-013.v2\", \"(CA)n|Simple_repeat\"], [\"mh17SCUZJ-0222289\", \"FLAM_C|SINE|Alu,L1MD2|LINE|L1\"], [\"mh17WL-008.v2\", \"(GCACTA)n|Simple_repeat\"], [\"mh17WL-008.v1\", \"(GCACTA)n|Simple_repeat\"], [\"mh17WL-008.v3\", \"(GCACTA)n|Simple_repeat\"], [\"mh17KK-278.v1\", \"L1MEh|LINE|L1\"], [\"mh17KK-278.v2\", \"L1MEh|LINE|L1\"], [\"mh17SCUZJ-0233057\", \"AluY|SINE|Alu,(AT)n|Simple_repeat,AluJb|SINE|Alu,AluSz|SINE|Alu\"], [\"mh17WL-030.v2\", \"MER33|DNA|hAT-Charlie\"], [\"mh17WL-030.v1\", \"MER33|DNA|hAT-Charlie\"], [\"mh18LW-45\", \"BSR/Beta|Satellite\"], [\"mh18WL-002\", \"AluSg4|SINE|Alu\"], [\"mh18SCUZJ-0002652\", \"AluSx|SINE|Alu,A-rich|Low_complexity\"], [\"mh18SCUZJ-0003488\", \"AluY|SINE|Alu\"], [\"mh18SHY-001\", \"L1MA10|LINE|L1,MER49|LTR|ERV1\"], [\"mh18PK-87558\", \"L2a|LINE|L2,L1PA15|LINE|L1\"], [\"mh18SCUZJ-0009510\", \"(TA)n|Simple_repeat\"], [\"mh18SCUZJ-0011531\", \"ERV3-16A3_LTR|LTR|ERVL,ERV3-16A3_LTR|LTR|ERVL\"], [\"mh18SCUZJ-0015713\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0020879.v1\", \"L1HS|LINE|L1,L1ME1|LINE|L1\"], [\"mh18SCUZJ-0020879.v2\", \"L1HS|LINE|L1,L1ME1|LINE|L1\"], [\"mh18USC-18pA\", \"HAL1|LINE|L1\"], [\"mh18CP-005\", \"L1ME4b|LINE|L1\"], [\"mh18SCUZJ-0040982\", \"LTR12C|LTR|ERV1\"], [\"mh18SCUZJ-0042322\", \"L1MC4|LINE|L1,AluSc|SINE|Alu,(AAAC)n|Simple_repeat,AluSc|SINE|Alu,L1MC4|LINE|L1\"], [\"mh18ZBF-002\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0058695\", \"MLT1F2|LTR|ERVL-MaLR,AluY|SINE|Alu\"], [\"mh18SCUZJ-0064707.v1\", \"MSTA|LTR|ERVL-MaLR,G-rich|Low_complexity,THE1D-int|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0064707.v2\", \"G-rich|Low_complexity,THE1D-int|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR,MSTA|LTR|ERVL-MaLR\"], [\"mh18ZHA-004\", \"THE1D-int|LTR|ERVL-MaLR\"], [\"mh18SCUZJ-0070441\", \"AluJr|SINE|Alu\"], [\"mh18SCUZJ-0076547\", \"L1PA2|LINE|L1\"], [\"mh18SCUZJ-0078455\", \"(TA)n|Simple_repeat\"], [\"mh18CP-003\", \"L1M5|LINE|L1\"], [\"mh18ZBF-001\", \"AluY|SINE|Alu\"], [\"mh18SCUZJ-0086519\", \"(TA)n|Simple_repeat,(AG)n|Simple_repeat\"], [\"mh18SCUZJ-0091845.v1\", \"(ATAATAT)n|Simple_repeat\"], [\"mh18SCUZJ-0091845.v2\", \"(ATAATAT)n|Simple_repeat\"], [\"mh18WL-022.v2\", \"(AG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh18WL-022.v1\", \"(AG)n|Simple_repeat,(AT)n|Simple_repeat\"], [\"mh18SCUZJ-0106007\", \"AluSc8|SINE|Alu\"], [\"mh18SCUZJ-0117020\", \"L1PA4|LINE|L1\"], [\"mh18SCUZJ-0119570\", \"(AG)n|Simple_repeat\"], [\"mh18SCUZJ-0133911\", 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\"Kanga1|DNA|TcMar-Tc2,AluY|SINE|Alu,Kanga1|DNA|TcMar-Tc2\"], [\"mh18SCUZJ-0246384\", \"AluY|SINE|Alu,L1P2|LINE|L1,AluY|SINE|Alu\"], [\"mh18SCUZJ-0246988\", \"MIR3|SINE|MIR,AluY|SINE|Alu\"], [\"mh18KK-293.v2\", \"UCON1|Unknown\"], [\"mh18KK-293.v1\", \"UCON1|Unknown\"], [\"mh18SCUZJ-0264631\", \"AluY|SINE|Alu,L1MD|LINE|L1,G-rich|Low_complexity\"], [\"mh18SCUZJ-0265416\", \"MIRb|SINE|MIR\"], [\"mh19SCUZJ-0001326\", \"MSTB|LTR|ERVL-MaLR,MSTB|LTR|ERVL-MaLR\"], [\"mh19USC-19pA\", \"HERVIP10B3-int|LTR|ERV1\"], [\"mh19SCUZJ-0007484\", \"AluY|SINE|Alu\"], [\"mh19SCUZJ-0012120\", \"AluY|SINE|Alu,AluSx|SINE|Alu\"], [\"mh19WL-024\", \"G-rich|Low_complexity\"], [\"mh19SCUZJ-0018130\", \"AluSc|SINE|Alu,L1MB3|LINE|L1\"], [\"mh19SCUZJ-0019425\", \"AluSc|SINE|Alu\"], [\"mh19SCUZJ-0022447\", \"AluSg|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0028962\", \"HERVH-int|LTR|ERV1,AluY|SINE|Alu,HERVH-int|LTR|ERV1\"], [\"mh19SCUZJ-0039302\", \"AluY|SINE|Alu,L1ME3G|LINE|L1\"], [\"mh19SCUZJ-0056108\", \"(A)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh19SCUZJ-0064306\", \"AluY|SINE|Alu,(TA)n|Simple_repeat\"], [\"mh19CP-007\", \"AluSq2|SINE|Alu\"], [\"mh19USC-19pB\", \"L1MA8|LINE|L1\"], [\"mh19SCUZJ-0081305\", \"AluSx3|SINE|Alu,(TAAT)n|Simple_repeat,AluJr4|SINE|Alu\"], [\"mh19SCUZJ-0091391\", \"AluSx4|SINE|Alu\"], [\"mh19ZHA-006\", \"AluSx3|SINE|Alu\"], [\"mh19SCUZJ-0119796\", \"L1PA17|LINE|L1\"], [\"mh19SCUZJ-0121709\", \"L1PA17|LINE|L1\"], [\"mh19SCUZJ-0137855\", \"L1PA4|LINE|L1\"], [\"mh19SCUZJ-0146076\", \"MER21C|LTR|ERVL\"], [\"mh19SCUZJ-0146592\", \"MLT1B|LTR|ERVL-MaLR,(GTTT)n|Simple_repeat,AluY|SINE|Alu\"], [\"mh19SCUZJ-0164190\", \"MIRb|SINE|MIR\"], [\"mh19WL-028\", \"AluSz|SINE|Alu,(TAA)n|Simple_repeat,L1MC5|LINE|L1\"], [\"mh19SCUZJ-0195134\", \"AluSx|SINE|Alu\"], [\"mh19KK-301\", \"MLT1L|LTR|ERVL-MaLR\"], [\"mh19KK-300\", \"Zaphod2|DNA|hAT-Tip100,MER33|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0212784\", \"L2|LINE,(A)n|Simple_repeat\"], [\"mh19SCUZJ-0215538\", \"AluY|SINE|Alu,AluSc8|SINE|Alu\"], [\"mh19ZHA-009\", \"L2|LINE\"], [\"mh19SCUZJ-0227114\", \"AluSg4|SINE|Alu,AluSx1|SINE|Alu\"], [\"mh19SCUZJ-0238255\", \"(CACACT)n|Simple_repeat\"], [\"mh19SHY-002\", \"AluJo|SINE|Alu,L1ME3B|LINE|L1\"], [\"mh19SCUZJ-0249059.v1\", \"MER20|DNA|hAT-Charlie,AluY|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh19SCUZJ-0249059.v2\", \"AluY|SINE|Alu,MER20|DNA|hAT-Charlie\"], [\"mh20SCUZJ-0000019\", \"AluY|SINE|Alu\"], [\"mh20KK-306.v2\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh20KK-306.v1\", \"L2b|LINE|L2,L2a|LINE|L2\"], [\"mh20WL-022.v2\", \"MIR|SINE\"], [\"mh20KK-035\", \"L1ME4b|LINE|L1\"], [\"mh20SCUZJ-0014987\", \"AluY|SINE|Alu,L1MB7|LINE|L1\"], [\"mh20SHY-001\", \"L1MEc|LINE|L1\"], [\"mh20SCUZJ-0017470\", \"AluJo|SINE|Alu\"], [\"mh20LV-04.v1\", \"LTR105_Mam|LTR|ERVL,AluSc|SINE|Alu,LTR105_Mam|LTR|ERVL\"], [\"mh20LV-04.v2\", \"LTR105_Mam|LTR|ERVL,AluSc|SINE|Alu,LTR105_Mam|LTR|ERVL\"], [\"mh20SCUZJ-0026528\", \"L1MC4|LINE|L1\"], [\"mh20SCUZJ-0039966\", \"MSTA|LTR|ERVL-MaLR,LTR16C|LTR|ERVL\"], [\"mh20SHY-002\", \"AluSc|SINE|Alu,MLT1F1|LTR|ERVL-MaLR\"], [\"mh20SCUZJ-0056321\", \"FRAM|SINE|Alu,AluY|SINE|Alu\"], [\"mh20LW-49\", \"MSTB|LTR|ERVL-MaLR\"], [\"mh20SCUZJ-0059407\", \"(TCACCC)n|Simple_repeat\"], [\"mh20KK-307.v2\", \"L5|LINE|RTE-X\"], [\"mh20KK-307.v3\", \"L5|LINE|RTE-X\"], [\"mh20KK-307.v1\", \"L5|LINE|RTE-X\"], [\"mh20USC-20pB\", \"L2c|LINE|L2\"], [\"mh20USC-20qA\", \"Tigger9b|DNA|TcMar-Tigger\"], [\"mh20SCUZJ-0118237\", \"HERVH-int|LTR|ERV1\"], [\"mh20ZBF-001\", \"MER63C|DNA|hAT-Blackjack\"], [\"mh20WL-014\", \"(CA)n|Simple_repeat\"], [\"mh20SCUZJ-0128552\", \"L2a|LINE|L2\"], [\"mh20SCUZJ-0130299\", \"L2b|LINE|L2,LTR33|LTR|ERVL\"], [\"mh20KK-058.v1\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20KK-058.v2\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20KK-058.v3\", \"MIR|SINE,MIRb|SINE|MIR\"], [\"mh20SCUZJ-0148996\", \"AluY|SINE|Alu\"], [\"mh20WL-018\", \"MIRb|SINE|MIR\"], [\"mh20SCUZJ-0159322\", \"(TTTC)n|Simple_repeat,AluSx3|SINE|Alu\"], [\"mh20SCUZJ-0162160\", \"G-rich|Low_complexity,G-rich|Low_complexity,MamGypLTR1b|LTR|Gypsy\"], [\"mh20HYP-42\", \"L1ME3Cz|LINE|L1\"], [\"mh20KK-059\", \"(GGCAGAG)n|Simple_repeat\"], [\"mh20SCUZJ-0175951\", \"AluSz|SINE|Alu\"], [\"mh20SCUZJ-0176544\", \"AluSg7|SINE|Alu,AluY|SINE|Alu\"], [\"mh20SCUZJ-0185153.v1\", \"AluSc|SINE|Alu,HAL1M8|LINE|L1\"], [\"mh20SCUZJ-0185153.v2\", \"AluSc|SINE|Alu,HAL1M8|LINE|L1\"], [\"mh21LW-50\", \"ACRO1|Satellite|acro\"], [\"mh21SCUZJ-0002749\", \"LTR6A|LTR|ERV1,MSTA|LTR|ERVL-MaLR,MSTA-int|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0003240\", \"MSTA|LTR|ERVL-MaLR,THE1D-int|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0016493\", \"HERVH-int|LTR|ERV1\"], [\"mh21SCUZJ-0027129\", \"MIR|SINE,AluSc8|SINE|Alu\"], [\"mh21KK-315.v6\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v1\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v2\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v3\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v4\", \"L1PA15-16|LINE|L1\"], [\"mh21KK-315.v5\", \"L1PA15-16|LINE|L1\"], [\"mh21SCUZJ-0037017\", \"MLT1D|LTR|ERVL-MaLR,L1MC3|LINE|L1\"], [\"mh21SCUZJ-0041429\", \"L1ME3A|LINE|L1,L1MA4|LINE|L1\"], [\"mh21SCUZJ-0059376\", \"LTR1D|LTR|ERV1,MER4D1|LTR|ERV1\"], [\"mh21KK-316.v1\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21KK-316.v2\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21KK-316.v3\", \"MamTip2|DNA|hAT-Tip100\"], [\"mh21WL-019\", \"MSTD|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0071539\", \"L1PB1|LINE|L1\"], [\"mh21SCUZJ-0080338\", \"AluJb|SINE|Alu,(TC)n|Simple_repeat,(TA)n|Simple_repeat\"], [\"mh21SCUZJ-0093008.v1\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0093008.v2\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0100459.v1\", \"L1PB1|LINE|L1\"], [\"mh21USC-21qB\", \"L1PA13|LINE|L1\"], [\"mh21SCUZJ-0108570\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-320.v1\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v5\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v2\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21KK-320.v3\", \"MamRep1151|LTR?,AluJb|SINE|Alu\"], [\"mh21SCUZJ-0117636\", \"MIR|SINE,THE1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v3\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v1\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21KK-313.v2\", \"MLT1C|LTR|ERVL-MaLR\"], [\"mh21SCUZJ-0125683\", \"L1PB1|LINE|L1,L1ME1|LINE|L1\"], [\"mh21SCUZJ-0128230\", \"AluY|SINE|Alu\"], [\"mh21SCUZJ-0132919\", \"AluSq|SINE|Alu\"], [\"mh22SCUZJ-0000304\", \"(ATCGAATGGA)n|Simple_repeat,(GGAAT)n|Simple_repeat,(ATCGAATGGA)n|Simple_repeat,(GGAAT)n|Simple_repeat\"], [\"mh22SCUZJ-0002299\", \"AluJr|SINE|Alu\"], [\"mh22SCUZJ-0012907\", \"AluSc|SINE|Alu,L1M2|LINE|L1,L1M4|LINE|L1\"], [\"mh22ZHA-003\", \"AluY|SINE|Alu\"], [\"mh22SCUZJ-0021077.v1\", \"AluY|SINE|Alu,L1MEd|LINE|L1\"], [\"mh22SCUZJ-0021077.v2\", \"AluY|SINE|Alu,L1MEd|LINE|L1\"], [\"mh22SCUZJ-0033378\", \"ERVL-E-int|LTR|ERVL\"], [\"mh22SCUZJ-0043764\", \"AluYk4|SINE|Alu,L1MB2|LINE|L1\"], [\"mh22WL-006.v2\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh22WL-006.v3\", \"MLT1K|LTR|ERVL-MaLR\"], [\"mh22SCUZJ-0056582\", \"(CTCT)n|Simple_repeat\"], [\"mh22WL-007.v2\", \"(CA)n|Simple_repeat\"], [\"mh22WL-007.v1\", \"(CA)n|Simple_repeat\"], [\"mh22SCUZJ-0107341\", \"MLT1I|LTR|ERVL-MaLR,MIR|SINE,AluY|SINE|Alu\"], [\"mh22PK-104638\", \"MIRc|SINE|MIR\"], [\"mh22USC-22qB.v1\", \"L1ME3A|LINE|L1\"], [\"mh22USC-22qB.v3\", \"L1ME3A|LINE|L1\"], [\"mh22USC-22qB.v2\", \"L1ME3A|LINE|L1\"], [\"mh22SCUZJ-0135192\", \"L1MCb|LINE|L1,AluY|SINE|Alu\"], [\"mh22SCUZJ-0146198\", \"AluY|SINE|Alu,LTR87|LTR|ERVL?\"], [\"mh22WL-015\", \"LTR8|LTR|ERV1,LTR8|LTR|ERV1,LTR8|LTR|ERV1\"], [\"mh0XUSC-XpB\", \"MER102c|DNA|hAT-Charlie\"], [\"mh0XUSC-XqB\", \"L1PBa|LINE|L1\"], [\"mh0XUSC-XqC\", \"LTR25-int|LTR|ERV1\"], [\"mh0XUSC-XqH\", \"L1M4|LINE|L1\"]]\n",
+    "markers = list(microhapdb.Marker.objectify(microhapdb.markers))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e91031db-d417-4e88-a3f8-94000fd5d44f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['mh01LW-3', 'AluJo|SINE|Alu,MIRc|SINE|MIR']\n",
+      "['mh01SCUZJ-0000740', 'AluY|SINE|Alu']\n",
+      "['mh01WL-097.v2', '(CTTACACATG)n|Simple_repeat']\n",
+      "['mh01SCUZJ-0016447', 'MER41D|LTR|ERV1,L1MC1|LINE|L1,THE1B|LTR|ERVL-MaLR']\n",
+      "['mh01KK-106', 'MIRb|SINE|MIR']\n",
+      "['mh01WL-095', 'L2b|LINE|L2']\n",
+      "['mh01SCUZJ-0041531', 'AluY|SINE|Alu,(AAAT)n|Simple_repeat,AluY|SINE|Alu']\n",
+      "['mh01WL-098', '(GTTT)n|Simple_repeat']\n",
+      "['mh01CP-007', 'MIRc|SINE|MIR']\n",
+      "['mh01CP-008', 'AluY|SINE|Alu']\n",
+      "['mh01SCUZJ-0062205', 'L1MC4a|LINE|L1,AluSz|SINE|Alu,L1MC4a|LINE|L1']\n",
+      "['mh01ZBF-001', 'AluY|SINE|Alu,L3|LINE|CR1']\n",
+      "['mh01NH-02', 'L1ME5|LINE|L1']\n",
+      "['mh01WL-080', 'MIRb|SINE|MIR']\n",
+      "['mh01SCUZJ-0076454', 'MIRb|SINE|MIR']\n",
+      "['mh01SCUZJ-0081962', 'AluY|SINE|Alu,AluSx1|SINE|Alu']\n",
+      "['mh01SCUZJ-0082140', '(CTGCCCCT)n|Simple_repeat,L2|LINE']\n",
+      "['mh01WL-107', 'MIRb|SINE|MIR']\n",
+      "['mh01KK-210', 'MIRb|SINE|MIR']\n",
+      "['mh01SCUZJ-0098514', 'L3|LINE|CR1,L2a|LINE|L2']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(*rep_markers[:20], sep=\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "38f0c093-4125-424d-9739-e5e12374d44c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rep_locus_ids = set([markerid.split(\".\")[0] for markerid, annot in rep_markers])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "64015bcb-82b6-40c6-bdce-9e07638e0fd4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rep_marker_ids = set([markerid for markerid, annot in rep_markers])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "f06e57fb-e910-431e-ae5c-04c426a78697",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_short = [marker for marker in markers if len(marker) < 100]\n",
+    "rep_short = [marker for marker in all_short if marker.name in rep_marker_ids]\n",
+    "all_medium = [marker for marker in markers if 100 <= len(marker) < 200]\n",
+    "rep_medium = [marker for marker in all_medium if marker.name in rep_marker_ids]\n",
+    "all_long = [marker for marker in markers if 200 <= len(marker) < 300]\n",
+    "rep_long = [marker for marker in all_long if marker.name in rep_marker_ids]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "d392419d-7804-48d1-883d-8165f92d24f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in all_short])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "74669946-38bf-4907-809d-f3e3222e1f8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in rep_short])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "b46a5ed9-87d1-4688-9c90-0b6a8a048b2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in all_medium])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2ce11950-53f5-4464-80fc-0133dcb05a17",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in rep_medium])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "454ce1ce-0f04-4a17-b78d-c8dd23430765",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in all_long])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "12f7b547-79b6-42e5-b262-0be8f6267259",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in rep_long])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "9c598249-df6a-485b-b91b-dbce4602287b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = list()\n",
+    "for marker in markers:\n",
+    "    if len(marker) >= 300:\n",
+    "        continue\n",
+    "    if len(marker) < 100:\n",
+    "        length = \"Short\"\n",
+    "    elif 100 <= len(marker) < 200:\n",
+    "        length = \"Medium\"\n",
+    "    else:\n",
+    "        length = \"Long\"\n",
+    "    suffix = \"Repetitive\" if marker.name in rep_marker_ids else \"NonRepetitive\"\n",
+    "    category = f\"{length}{suffix}\"\n",
+    "    data.append((marker.name, category, marker.data.Ae))\n",
+    "dataframe = pd.DataFrame(data, columns=[\"Marker\", \"Category\", \"Ae\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "aaa3a0b1-ab08-4636-a2ca-ffeed2b85eec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Marker</th>\n",
+       "      <th>Category</th>\n",
+       "      <th>Ae</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>mh01LW-3</td>\n",
+       "      <td>ShortRepetitive</td>\n",
+       "      <td>1.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>mh01WL-090</td>\n",
+       "      <td>MediumNonRepetitive</td>\n",
+       "      <td>5.499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>mh01KK-172.v1</td>\n",
+       "      <td>LongNonRepetitive</td>\n",
+       "      <td>3.775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>mh01KK-172.v2</td>\n",
+       "      <td>LongNonRepetitive</td>\n",
+       "      <td>4.930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>mh01KK-172.v3</td>\n",
+       "      <td>LongNonRepetitive</td>\n",
+       "      <td>4.930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2590</th>\n",
+       "      <td>mh0XUSC-XqD</td>\n",
+       "      <td>ShortNonRepetitive</td>\n",
+       "      <td>2.027</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591</th>\n",
+       "      <td>mh0XUSC-XqE</td>\n",
+       "      <td>ShortNonRepetitive</td>\n",
+       "      <td>2.506</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2592</th>\n",
+       "      <td>mh0XUSC-XqF</td>\n",
+       "      <td>ShortNonRepetitive</td>\n",
+       "      <td>2.389</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2593</th>\n",
+       "      <td>mh0XUSC-XqG</td>\n",
+       "      <td>ShortNonRepetitive</td>\n",
+       "      <td>3.423</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2594</th>\n",
+       "      <td>mh0XUSC-XqH</td>\n",
+       "      <td>ShortRepetitive</td>\n",
+       "      <td>3.216</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2595 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Marker             Category     Ae\n",
+       "0          mh01LW-3      ShortRepetitive  1.000\n",
+       "1        mh01WL-090  MediumNonRepetitive  5.499\n",
+       "2     mh01KK-172.v1    LongNonRepetitive  3.775\n",
+       "3     mh01KK-172.v2    LongNonRepetitive  4.930\n",
+       "4     mh01KK-172.v3    LongNonRepetitive  4.930\n",
+       "...             ...                  ...    ...\n",
+       "2590    mh0XUSC-XqD   ShortNonRepetitive  2.027\n",
+       "2591    mh0XUSC-XqE   ShortNonRepetitive  2.506\n",
+       "2592    mh0XUSC-XqF   ShortNonRepetitive  2.389\n",
+       "2593    mh0XUSC-XqG   ShortNonRepetitive  3.423\n",
+       "2594    mh0XUSC-XqH      ShortRepetitive  3.216\n",
+       "\n",
+       "[2595 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "8d92111a-e92c-43c1-b5fc-6acea7c507a0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n",
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n",
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x1b854f8e0>"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_theme(style=\"white\", rc={\"axes.facecolor\": (0, 0, 0, 0)})\n",
+    "palette = sns.color_palette(\"Set2\", 6)\n",
+    "g = sns.FacetGrid(dataframe, row=\"Category\", hue=\"Category\", palette=palette, aspect=9, height=1.2, row_order=[\"LongRepetitive\", \"LongNonRepetitive\", \"MediumRepetitive\", \"MediumNonRepetitive\", \"ShortRepetitive\", \"ShortNonRepetitive\",])\n",
+    "g.map_dataframe(sns.kdeplot, x=\"Ae\", fill=True, alpha=1)\n",
+    "g.map_dataframe(sns.kdeplot, x=\"Ae\", color=\"black\")\n",
+    "g.set_titles(\"\")\n",
+    "g.despine(left=True)\n",
+    "def label(x, color, label):\n",
+    "    ax = plt.gca()\n",
+    "    ax.text(1, .1, label, color=\"black\", fontsize=13, ha=\"right\", va=\"center\", transform=ax.transAxes)\n",
+    "g.map(label, \"Category\")\n",
+    "g.fig.subplots_adjust(hspace=-0.5)\n",
+    "g.set(yticks=[], xlim=(0, 15), ylabel=\"\", xlabel=\"$A_e$ (1KGP 26-population average)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "ae9e254d-9216-43b0-a774-e59317446ecb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: ylabel='Density'>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.kdeplot([m.data.Ae for m in markers if m.name not in rep_marker_ids])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "a9cd03a7-4c06-4ed9-921a-35c9f1a939e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1380"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(rep_marker_ids)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "5ace07a1-76fb-4956-b8f2-57ad822e0ae3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3053"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(markers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "bbda630b-1755-4e51-87a2-f7be7c13b58e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data2 = list()\n",
+    "for marker in markers:\n",
+    "    if len(marker) >= 300:\n",
+    "        continue\n",
+    "    if marker.name in rep_marker_ids:\n",
+    "        continue\n",
+    "    if len(marker) < 100:\n",
+    "        length = \"Short\"\n",
+    "    elif 100 <= len(marker) < 200:\n",
+    "        length = \"Medium\"\n",
+    "    else:\n",
+    "        length = \"Long\"\n",
+    "    data2.append((marker.name, length, marker.data.Ae))\n",
+    "dataframe2 = pd.DataFrame(data2, columns=[\"Marker\", \"Category\", \"Ae\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "b9362d81-760d-4e56-9d8f-83b251e458be",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Marker</th>\n",
+       "      <th>Category</th>\n",
+       "      <th>Ae</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>mh01WL-090</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>5.499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>mh01KK-172.v1</td>\n",
+       "      <td>Long</td>\n",
+       "      <td>3.775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>mh01KK-172.v2</td>\n",
+       "      <td>Long</td>\n",
+       "      <td>4.930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>mh01KK-172.v3</td>\n",
+       "      <td>Long</td>\n",
+       "      <td>4.930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>mh01USC-1pA</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>4.629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1567</th>\n",
+       "      <td>mh0XUSC-XqA</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>2.811</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1568</th>\n",
+       "      <td>mh0XUSC-XqD</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>2.027</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1569</th>\n",
+       "      <td>mh0XUSC-XqE</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>2.506</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1570</th>\n",
+       "      <td>mh0XUSC-XqF</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>2.389</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1571</th>\n",
+       "      <td>mh0XUSC-XqG</td>\n",
+       "      <td>Short</td>\n",
+       "      <td>3.423</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1572 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Marker Category     Ae\n",
+       "0        mh01WL-090   Medium  5.499\n",
+       "1     mh01KK-172.v1     Long  3.775\n",
+       "2     mh01KK-172.v2     Long  4.930\n",
+       "3     mh01KK-172.v3     Long  4.930\n",
+       "4       mh01USC-1pA    Short  4.629\n",
+       "...             ...      ...    ...\n",
+       "1567    mh0XUSC-XqA    Short  2.811\n",
+       "1568    mh0XUSC-XqD    Short  2.027\n",
+       "1569    mh0XUSC-XqE    Short  2.506\n",
+       "1570    mh0XUSC-XqF    Short  2.389\n",
+       "1571    mh0XUSC-XqG    Short  3.423\n",
+       "\n",
+       "[1572 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataframe2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "a1d3ce3c-e4bf-4c37-9f56-eefb1370cf2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n",
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n",
+      "/Users/daniel.standage/anaconda3/envs/microhapdb/lib/python3.9/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
+      "  self._figure.tight_layout(*args, **kwargs)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x1b8b0a970>"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x360 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_theme(style=\"white\", rc={\"axes.facecolor\": (0, 0, 0, 0)})\n",
+    "palette = sns.color_palette(\"Set2\", 3)\n",
+    "g = sns.FacetGrid(dataframe2, row=\"Category\", hue=\"Category\", palette=palette, aspect=9, height=1.2, row_order=[\"Long\", \"Medium\", \"Short\",])\n",
+    "g.map_dataframe(sns.kdeplot, x=\"Ae\", fill=True, alpha=1)\n",
+    "g.map_dataframe(sns.kdeplot, x=\"Ae\", color=\"black\")\n",
+    "g.set_titles(\"\")\n",
+    "g.despine(left=True)\n",
+    "def label(x, color, label):\n",
+    "    ax = plt.gca()\n",
+    "    ax.text(1, .1, label, color=\"black\", fontsize=13, ha=\"right\", va=\"center\", transform=ax.transAxes)\n",
+    "g.map(label, \"Category\")\n",
+    "g.fig.subplots_adjust(hspace=-0.5)\n",
+    "g.set(yticks=[], ylabel=\"\", xlabel=\"$A_e$ (1KGP 26-population average)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "16e5e2c5-2ff7-4732-9f93-99fffecc00bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "high = set([m.locus for m in markers if (m.data.Ae > 15 and m.name not in rep_marker_ids and len(m) < 250)])\n",
+    "len(high)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "5a4748cd-a07f-471e-a466-d379afd283f9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "mh01KK-212 mh01WL-005 mh04WL-052 mh06WL-051 mh12KK-201\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(*sorted(high))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "0a39f2ae-7ffa-4526-9631-5bd98fab4240",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "mh01WL-006 mh01WL-010 mh02WL-002 mh03LV-06 mh06WL-017 mh07WL-022 mh10WL-012 mh10WL-031 mh13USC-13qA mh13WL-001 mh16WL-038 mh17FHL-005\n",
+      "12\n"
+     ]
+    }
+   ],
+   "source": [
+    "medium = set([m.locus for m in markers if (m.data.Ae > 10 and m.data.Ae < 15 and m.name not in rep_marker_ids and m.locus not in high and len(m) < 250)])\n",
+    "print(*sorted(medium))\n",
+    "print(len(medium))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afbd2220-7beb-4710-96d3-3f701da47bfa",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}


Test patch:
diff --git a/microhapdb/tests/test_repeats.py b/microhapdb/tests/test_repeats.py
new file mode 100644
index 00000000..eb1229bb
--- /dev/null
+++ b/microhapdb/tests/test_repeats.py
@@ -0,0 +1,32 @@
+# -------------------------------------------------------------------------------------------------
+# Copyright (c) 2023, DHS.
+#
+# This file is part of MicroHapDB (http://github.com/bioforensics/MicroHapDB) and is licensed under
+# the BSD license: see LICENSE.txt.
+#
+# This software was prepared for the Department of Homeland Security (DHS) by the Battelle National
+# Biodefense Institute, LLC (BNBI) as part of contract HSHQDC-15-C-00064 to manage and operate the
+# National Biodefense Analysis and Countermeasures Center (NBACC), a Federally Funded Research and
+# Development Center.
+# -------------------------------------------------------------------------------------------------
+
+
+import microhapdb
+import pytest
+
+
+def test_assumptions():
+    assert microhapdb.repeats.shape == (1380, 1)
+
+
+@pytest.mark.parametrize(
+    "marker,repeat",
+    [
+        ("mh22USC-22qB.v2", "L1ME3A|LINE|L1"),
+        ("mh08SCUZJ-0484105", "AluSx3|SINE|Alu;AluYa5|SINE|Alu"),
+        ("mh13WL-037.v1", "L2|LINE"),
+        ("mh06SCUZJ-0001113", "MER44C|DNA|TcMar-Tigger"),
+    ],
+)
+def test_repeats_basic(marker, repeat):
+    assert microhapdb.repeats.loc[marker].Repeat == repeat