cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13315994
title: A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring

description: The raw data for this paper and performance evaluation of the EE, LOF, OCSVM and the voting-based outlier detection method evaluation results have been provided. The raw data are divided into five parts: the Australian credit dataset (Australian.csv), the German credit dataset (GermanData.csv), the Japanese credit dataset (JapanData.csv), the Taiwan credit dataset (TaiwanData.csv), and the Creator credit dataset (Creator.csv).
DOI: 10.6084/m9.figshare.13315994.v1
title: A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring

description: The raw data for this paper and performance evaluation of the EE, LOF, OCSVM and the voting-based outlier detection method evaluation results have been provided. The raw data are divided into five parts: the Australian credit dataset (Australian.csv), the German credit dataset (GermanData.csv), the Japanese credit dataset (JapanData.csv), the Taiwan credit dataset (TaiwanData.csv), and the Creator credit dataset (Creator.csv).
DOI: 10.21227/xt8v-je09
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/syby-3g53
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/t8vy-sy38
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/v9zm-r884
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.6084/m9.figshare.13114544
title: 3D-PACT Data and Codes

description: Supporting source data and codes for Lin et al. "High-Speed Three-Dimensional Photoacoustic Computed Tomography for Preclinical Research and Clinical Translation"
DOI: 10.6084/m9.figshare.13114544.v2
title: 3D-PACT Data and Codes

description: Supporting source data and codes for Lin et al. "High-Speed Three-Dimensional Photoacoustic Computed Tomography for Preclinical Research and Clinical Translation"
DOI: 10.21227/9nqa-bd47
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/kww5-yf07
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/ggae-tr72
title: Biomedical KEH B

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., theAuthor extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.21227/ct6h-nq37
title: wind turbine 2

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset " Wii ",the comparison on the existing with
DOI: 10.21227/j5qs-1h71
title: wind turbine 2

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset " Wii ",the comparison on the existing withIn this dataset and the Researchppers Part 1, 2, 3 submitted to Journal, author has extened this to
DOI: 10.21227/g8b8-pg98
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.6084/m9.figshare.13316063
title: Craig_Tables_S1-S6.xlsx

description: <b>Supplementary Tables S1-S6</b> <b> </b> <b>Table S1. </b>ChIP-seq sequencing depth and duplication rate per biological replicate<b></b> <b>Table S2.</b> STAT5A union peakset (FDR&lt;0.01) <b>Table S3.</b> HDAC6 union peakset (FDR&lt;0.01) <b>Table S4.</b> HMGN2 peakset (FDR&lt;0.01) <b>Table S5. </b>Differentially Expressed Genes (Prolactin vs. Untreated; FDR&lt;0.05)<b></b> <b>Table S6. </b>Differentially Expressed Genes (Prolactin + ACY-241 vs. Prolactin; FDR&lt;0.05)<b></b>
DOI: 10.6084/m9.figshare.13316063.v1
title: Craig_Tables_S1-S6.xlsx

description: <b>Supplementary Tables S1-S6</b> <b> </b> <b>Table S1. </b>ChIP-seq sequencing depth and duplication rate per biological replicate<b></b> <b>Table S2.</b> STAT5A union peakset (FDR&lt;0.01) <b>Table S3.</b> HDAC6 union peakset (FDR&lt;0.01) <b>Table S4.</b> HMGN2 peakset (FDR&lt;0.01) <b>Table S5. </b>Differentially Expressed Genes (Prolactin vs. Untreated; FDR&lt;0.05)<b></b> <b>Table S6. </b>Differentially Expressed Genes (Prolactin + ACY-241 vs. Prolactin; FDR&lt;0.05)<b></b>
DOI: 10.21227/yns7-9707
title: Biomedical KEH B

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., theAuthor extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.21227/y4xb-xb83
title: wind turbine 2

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".In the submitted dataset " Wii ",the comparison on the existing withIn this dataset and the Researchppers Part 1, 2, 3 submitted to Journal, author has extened this to
DOI: 10.6084/m9.figshare.13303121
title: 2020-03 US COVID-19 vaccine questionnaire

description: Questionnaire and dataset and code for an analysis of COVID-19 vaccination preferences.
DOI: 10.6084/m9.figshare.13303121.v1
title: 2020-03 US COVID-19 vaccine questionnaire

description: Questionnaire and dataset and code for an analysis of COVID-19 vaccination preferences.
DOI: 10.5281/zenodo.4300067
title: Dataset and manual counts used in "Digging roots is easier with AI"

description: Please see the paper "Digging roots is easier with AI" how the images were captured and the manual counting was performed for the three destructive sampling procedures.
DOI: 10.5281/zenodo.4300031
title: Dataset and manual counts used in "Digging roots is easier with AI"

description: Please see the paper "Digging roots is easier with AI" how the images were captured and the manual counting was performed for the three destructive sampling procedures.
DOI: 10.6084/m9.figshare.13316111.v1
title: Angelica.jpeg

description: Psycholgy And community and organizational<br><pre><br></pre>
DOI: 10.6084/m9.figshare.13316111
title: Angelica

description: Psycholgy And community and organizational<br><pre><br></pre>
DOI: 10.6084/m9.figshare.13316111.v3
title: Angelica

description: Psycholgy And community and organizational<br><pre><br></pre>
DOI: 10.6084/m9.figshare.13316111.v2
title: Angelica.jpeg

description: Psycholgy And community and organizational<br><pre><br></pre>
DOI: 10.5281/zenodo.4300127
title: Training dataset and final models used in "Digging roots is easier with AI"

description: See the paper ''Digging roots is easier with AI' for an explanation of how the models and datasets were created. The images are extracted from the larger datasets available from 10.5281/zenodo.4300067 using the RootPainter software.
DOI: 10.5281/zenodo.4300126
title: Training dataset and final models used in "Digging roots is easier with AI"

description: See the paper ''Digging roots is easier with AI' for an explanation of how the models and datasets were created. The images are extracted from the larger datasets available from 10.5281/zenodo.4300067 using the RootPainter software.
DOI: 10.5281/zenodo.4301123
title: Pakistan Journal of Surgery and Medicine Citation Record

description: Pak J Surg Med Citation Report Upto 02-12-2020
description: all communications may please be directed to editor@pjsm.com.pk
DOI: 10.17632/f9v9x35kxf.1
title: Data for: Heat Depletion in Sedimentary Basins and its Effect on the Design and Electric Power Output of CO2 Plume Geothermal (CPG) Systems

description: Results of all simulation trials.
DOI: 10.5281/zenodo.4301074
title: Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth from Dense Satellite and Sparse In-Situ Observations: Preprocessed Satellite and In-situ observation datasets

description: Preprocessed satellite sea surface salinity (SSS), temperature (SST), and sea surface height anomalies (SSHA) and Argo-based mixed layer depth (MLD) profiles. Original data can be found at: (SST): Remote Sensing Systems. 2017. MW optimum interpolated SST data set. Ver. 5.0. PO.DAAC, CA, USA. Further information available at at https://doi.org/10.5067/GHMWO-4FR05. Data can be accessed at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L4/GLOB/REMSS/mw_OI/v5.0/. (SSS): Oleg Melnichenko. 2018. Aquarius L4 Optimally Interpolated Sea Surface Salinity. Ver. 5.0. PO.DAAC, CA, USA. Further information at https://doi.org/10.5067/AQR50-4U7CS. Data can be accessed at https://podaac-tools.jpl.nasa.gov/drive/files/SalinityDensity/aquarius/L4/IPRC/v5/7day. (SSH): Zlotnicki, Victor; Qu, Zheng; Willis, Joshua. 2019. SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL1609. Ver. 1812. PO.DAAC, CA, USA. Information available at https://doi.org/10.5067/SLREF-CDRV2. Data can be accessed at https://podaac-tools.jpl.nasa.gov/drive/files/SeaSurfaceTopography/merged_alt/L4/cdr_grid (MLD) Argo-based ocean surface mixed layer depths using the buoyancy gradient definition of Whitt Nicholson and Carranza (2019) processed dataset available at https://doi.org/10.5281/zenodo.4291175. Preprocessing code can be found at https://github.com/NCAR/ml-ocean-bl/mloceanbl/preprocess_mld.py and .../preprocess_sss_sst_ssh.py. SSS, SST, SSH were regridded and resampled onto a 1/2 degree lat/lon 7day grid. Data, along with anomalies, is contained in the file sss_sst_ssh_anomalies.nc. Smoothed argo-based mixed layer depths are used to calculate climatologies and standardized climatologies. 4 degree lat/lon gridded climatologies are stored in mldb_climatology_climatologystd_binned.nc. Meanwhile, mldb_full_anomalies_stdanomalies_climatology_stdclimatology.nc contains contains the mld, anomalies, standard anomalies, climatologies, and standardized climatologies with corresponding argo locations, times, and corresponding weeks. All of these data files are preprocessed and organized to be used with the ml-ocean-bl github code found at https://github.com/NCAR/ml-ocean-bl/mloceanbl/. See https://github.com/NCAR/ml-ocean-bl/notebooks for use cases and examples. Contact D. Foster with any questions.
DOI: 10.25919/5vyn-mh60
title: Genotyping-by-sequencing data for Corybas acotiniflorus complex (Orchidaceae) from eastern Australia.

description: Genotyping-by-sequencing data (raw reads and assembled/aligned) for conservation genomic study on Corybas acotiniflorus species complex (Acianthinae, Diurideae, Orchidaceae). Reference: Natascha D. Wagner, Mark A. Clements, Lalita Simpson, Katharina Nargar: Conservation in the face of hybridisation: genome-wide study to evaluate taxonomic delimitation and conservation status of a threatened orchid species . Conservation Genetics (accepted manuscript).
DOI: 10.5519/qd.h8i4ev3w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (531 records)
DOI: 10.21227/v4zh-ay95
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.21227/dth9-7r73
title: Biomedical KEH B

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., theAuthor extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.6084/m9.figshare.13316650.v1
title: Additional file 2 of Factors associated with increasing rural doctor supply in Asia-Pacific LMICs: a scoping review

description: Additional file 2. Detailed search term for each database searching (June 1990–July 2019).
DOI: 10.6084/m9.figshare.13316650
title: Additional file 2 of Factors associated with increasing rural doctor supply in Asia-Pacific LMICs: a scoping review

description: Additional file 2. Detailed search term for each database searching (June 1990–July 2019).
DOI: 10.6084/m9.figshare.13316708
title: Additional file 3 of Finding a suitable library size to call variants in RNA-Seq

description: Additional file 3: Table S5. TCGA-LAML truth set.
DOI: 10.6084/m9.figshare.13316708.v1
title: Additional file 3 of Finding a suitable library size to call variants in RNA-Seq

description: Additional file 3: Table S5. TCGA-LAML truth set.
DOI: 10.6084/m9.figshare.13316705.v1
title: Additional file 2 of Finding a suitable library size to call variants in RNA-Seq

description: Additional file 2: Table S4. Downsampling proportions for the TCGA-LAML samples.
DOI: 10.6084/m9.figshare.13316705
title: Additional file 2 of Finding a suitable library size to call variants in RNA-Seq

description: Additional file 2: Table S4. Downsampling proportions for the TCGA-LAML samples.
DOI: 10.6084/m9.figshare.13316776
title: Additional file 1 of An interaction of heart disease-associated proteins POPDC1/2 with XIRP1 in transverse tubules and intercalated discs

description: Additional file 1. Table; Unfiltered mass spectrometry results.
DOI: 10.6084/m9.figshare.13316776.v1
title: Additional file 1 of An interaction of heart disease-associated proteins POPDC1/2 with XIRP1 in transverse tubules and intercalated discs

description: Additional file 1. Table; Unfiltered mass spectrometry results.
DOI: 10.6084/m9.figshare.13316780
title: Additional file 1 of Comparative genomics in “Candidatus Kuenenia stuttgartiensis” reveal high genomic plasticity in the overall genome structure, CRISPR loci and surface proteins

description: Additional file 1 Fig. S1. Cumulative GC skew along the genomes of “Ca. Kuenenia stuttgartiensis” strains. Fig. S2. Venn diagram showing the core genome and the genes specific in “Ca. Kuenenia stuttgartiensis” strains. Fig. S3. Unrooted phylogenetic trees of ten S-layer homologous gene constructed based on the Neighbor-Joining method. Fig. S4. Amino acid sequence of the S-layer protein of strain CSTR1 (KsCSTR_09970). Fig. S5. Coverage of SMRT sequencing reads along the genome of “Ca. Kuenenia stuttgartiensis” strain CSTR1. Table S1. Reported genome assemblies of anammox bacteria up to this study (as of 02.02.2020). Table S2. List of the longest 25 contigs obtained by the automatic assembling pipeline in the PacBio SMRT Analysis software package. Table S3. Hypothetical sequential rearrangement events from genome CSTR1 to genome MBR1b as calculated by GRIMM. Table S4. List of the 20 locally collinear blocks (LCBs) of the genome of “Ca. Kuenenia stuttgartiensis” strain CSTR1 after Mauve alignment with MBR1b. Table S5. CRISPR elements in the anammox genomes KUST, MBR1 and CSTR1. Table S6. Comparison of the large CRISPR locus near the type I-B CRISPR-Cas cluster in the three studied anammox genomes. Table S7. Protein-coding genes of “Ca. Kuenenia stuttgartiensis” strain CSTR1 and their abundance in the proteome. Table S8. Transposase genes and their classification in the anammox genomes KUST, MBR1 and CSTR1. Table S9: List of transposase genes and their classification in the anammox genomes KUST, MBR1 and CSTR1. Table S10. Abundances of peptides from two highly similar hydrazine dehydrogenases KsCSTR_46980 and KsCSTR_11820 in the proteome of “Ca. Kuenenia stuttgartiensis” strain CSTR1. Table S11. Detection of three nitrite reductase gene candidates in the proteome of “Ca. Kuenenia stuttgartiensis” strain CSTR1 over time. Table S12. List of peptides detected in the S-layer protein KsCSTR_09970 in a series of “Ca. Kuenenia stuttgartiensis” strain CSTR1 samples. Additional file 1. Genome assembly from the IonTorrent-based resequencing of “Ca. Kuenenia stuttgartiensis” strain KUST in 2012.
DOI: 10.6084/m9.figshare.13316780.v1
title: Additional file 1 of Comparative genomics in “Candidatus Kuenenia stuttgartiensis” reveal high genomic plasticity in the overall genome structure, CRISPR loci and surface proteins

description: Additional file 1 Fig. S1. Cumulative GC skew along the genomes of “Ca. Kuenenia stuttgartiensis” strains. Fig. S2. Venn diagram showing the core genome and the genes specific in “Ca. Kuenenia stuttgartiensis” strains. Fig. S3. Unrooted phylogenetic trees of ten S-layer homologous gene constructed based on the Neighbor-Joining method. Fig. S4. Amino acid sequence of the S-layer protein of strain CSTR1 (KsCSTR_09970). Fig. S5. Coverage of SMRT sequencing reads along the genome of “Ca. Kuenenia stuttgartiensis” strain CSTR1. Table S1. Reported genome assemblies of anammox bacteria up to this study (as of 02.02.2020). Table S2. List of the longest 25 contigs obtained by the automatic assembling pipeline in the PacBio SMRT Analysis software package. Table S3. Hypothetical sequential rearrangement events from genome CSTR1 to genome MBR1b as calculated by GRIMM. Table S4. List of the 20 locally collinear blocks (LCBs) of the genome of “Ca. Kuenenia stuttgartiensis” strain CSTR1 after Mauve alignment with MBR1b. Table S5. CRISPR elements in the anammox genomes KUST, MBR1 and CSTR1. Table S6. Comparison of the large CRISPR locus near the type I-B CRISPR-Cas cluster in the three studied anammox genomes. Table S7. Protein-coding genes of “Ca. Kuenenia stuttgartiensis” strain CSTR1 and their abundance in the proteome. Table S8. Transposase genes and their classification in the anammox genomes KUST, MBR1 and CSTR1. Table S9: List of transposase genes and their classification in the anammox genomes KUST, MBR1 and CSTR1. Table S10. Abundances of peptides from two highly similar hydrazine dehydrogenases KsCSTR_46980 and KsCSTR_11820 in the proteome of “Ca. Kuenenia stuttgartiensis” strain CSTR1. Table S11. Detection of three nitrite reductase gene candidates in the proteome of “Ca. Kuenenia stuttgartiensis” strain CSTR1 over time. Table S12. List of peptides detected in the S-layer protein KsCSTR_09970 in a series of “Ca. Kuenenia stuttgartiensis” strain CSTR1 samples. Additional file 1. Genome assembly from the IonTorrent-based resequencing of “Ca. Kuenenia stuttgartiensis” strain KUST in 2012.
DOI: 10.6084/m9.figshare.13316818
title: Additional file 10 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 10: Supplementary Data 9. SMRT-OTS results for ATXN10, MMP14 and NEK1 when using de novo assembled HEK293 genome for alignment.
DOI: 10.6084/m9.figshare.13316821
title: Additional file 11 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 11: Supplementary Data 10. Results of PBSV structural variant calling for HEK293 HiFi data.
DOI: 10.6084/m9.figshare.13316818.v1
title: Additional file 10 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 10: Supplementary Data 9. SMRT-OTS results for ATXN10, MMP14 and NEK1 when using de novo assembled HEK293 genome for alignment.
DOI: 10.6084/m9.figshare.13316833
title: Additional file 2 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 2: Supplementary Data 1. SMRT-OTS results for ATXN10, MMP14 and NEK1.
DOI: 10.6084/m9.figshare.13316821.v1
title: Additional file 11 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 11: Supplementary Data 10. Results of PBSV structural variant calling for HEK293 HiFi data.
DOI: 10.6084/m9.figshare.13316824.v1
title: Additional file 12 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 12: Supplementary Data 11. Large insertions detected at the MMP14 and NEK1 on-target sites in edited fibroblasts.
DOI: 10.6084/m9.figshare.13316836
title: Additional file 3 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 3: Supplementary Data 2. Nano-OTS results for ATXN10, MMP14 and NEK1.
DOI: 10.6084/m9.figshare.13316833.v1
title: Additional file 2 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 2: Supplementary Data 1. SMRT-OTS results for ATXN10, MMP14 and NEK1.
DOI: 10.6084/m9.figshare.13316839
title: Additional file 4 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 4: Supplementary Data 3. Overlapping results between SMRT-OTS and Nano-OTS for ATXN10, MMP14 and NEK1.
DOI: 10.6084/m9.figshare.13316845
title: Additional file 6 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 6: Supplementary Data 5. CHOPCHOP Cas9 cleavage site predictions for ATXN10, MMP14 and NEK1.
DOI: 10.6084/m9.figshare.13316848.v1
title: Additional file 7 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 7: Supplementary Data 6. Results for SMRT-OTS and Nano-OTS for EMX1, FANCF, RNF2 and VEGFA.
DOI: 10.6084/m9.figshare.13316851
title: Additional file 8 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 8: Supplementary Data 7. Nano-OTS results for single-plex run of EMX1, FANCF, RNF2 and VEGFA.
DOI: 10.6084/m9.figshare.13316848
title: Additional file 7 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 7: Supplementary Data 6. Results for SMRT-OTS and Nano-OTS for EMX1, FANCF, RNF2 and VEGFA.
DOI: 10.6084/m9.figshare.13316851.v1
title: Additional file 8 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 8: Supplementary Data 7. Nano-OTS results for single-plex run of EMX1, FANCF, RNF2 and VEGFA.
DOI: 10.6084/m9.figshare.13316836.v1
title: Additional file 3 of Amplification-free long-read sequencing reveals unforeseen CRISPR-Cas9 off-target activity

description: Additional file 3: Supplementary Data 2. Nano-OTS results for ATXN10, MMP14 and NEK1.