cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3957637
title: GREEN-VARAN AF resources

description: This dataset contains processed files from gnomAD that can be used with GREEN-VARAN. These files represent the genome-wide variants from gnomAD, but INFO fields have been subset to contain just essential AF annotations. GRCh37 version is adapted from gnomAD v2.1.1 genome VCF GRCh38 version is adapted from gnomAD v3 genome VCF See: https://gnomad.broadinstitute.org/ If you use gnomAD AF annotations with GREEN-VARAN don't forget to cite also the original gnomAD paper as described in https://gnomad.broadinstitute.org/terms.
DOI: 10.5281/zenodo.3957636
title: GREEN-VARAN AF resources

description: This dataset contains processed files from gnomAD that can be used with GREEN-VARAN. These files represent the genome-wide variants from gnomAD, but INFO fields have been subset to contain just essential AF annotations. GRCh37 version is adapted from gnomAD v2.1.1 genome VCF GRCh38 version is adapted from gnomAD v3 genome VCF See: https://gnomad.broadinstitute.org/ If you use gnomAD AF annotations with GREEN-VARAN don't forget to cite also the original gnomAD paper as described in https://gnomad.broadinstitute.org/terms.
DOI: 10.5281/zenodo.3957486
title: GREEN-VARAN scores resources (DANN GRCh37)

description: Processed DANN scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for DANN. See: https://academic.oup.com/bioinformatics/article/31/5/761/2748191 If you use DANN score annotations with GREEN-VARAN don't forget to cite also the original DANN paper.
description: {"references": ["DANN paper: https://pubmed.ncbi.nlm.nih.gov/25338716/"]}
DOI: 10.5281/zenodo.3957485
title: GREEN-VARAN scores resources (DANN GRCh37)

description: Processed DANN scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for DANN. See: https://academic.oup.com/bioinformatics/article/31/5/761/2748191 If you use DANN score annotations with GREEN-VARAN don't forget to cite also the original DANN paper.
description: {"references": ["DANN paper: https://pubmed.ncbi.nlm.nih.gov/25338716/"]}
DOI: 10.5281/zenodo.3957428
title: GREEN-VARAN scores resources (DANN GRCh38)

description: Processed DANN scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for DANN. See: https://academic.oup.com/bioinformatics/article/31/5/761/2748191 If you use DANN score annotations with GREEN-VARAN don't forget to cite also the original DANN paper.
description: {"references": ["DANN paper: https://pubmed.ncbi.nlm.nih.gov/25338716/"]}
DOI: 10.5281/zenodo.3957427
title: GREEN-VARAN scores resources (DANN GRCh38)

description: Processed DANN scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for DANN. See: https://academic.oup.com/bioinformatics/article/31/5/761/2748191 If you use DANN score annotations with GREEN-VARAN don't forget to cite also the original DANN paper.
description: {"references": ["DANN paper: https://pubmed.ncbi.nlm.nih.gov/25338716/"]}
DOI: 10.5281/zenodo.3957356
title: GREEN-VARAN scores resources (FIRE GRCh37)

description: Processed FIRE scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FIRE. See: https://sites.google.com/site/fireregulatoryvariation/ If you use FIRE score annotations with GREEN-VARAN don't forget to cite also the original FIRE paper.
description: {"references": ["FIRE paper: https://pubmed.ncbi.nlm.nih.gov/28961785"]}
DOI: 10.5281/zenodo.3957355
title: GREEN-VARAN scores resources (FIRE GRCh37)

description: Processed FIRE scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FIRE. See: https://sites.google.com/site/fireregulatoryvariation/ If you use FIRE score annotations with GREEN-VARAN don't forget to cite also the original FIRE paper.
description: {"references": ["FIRE paper: https://pubmed.ncbi.nlm.nih.gov/28961785"]}
DOI: 10.5281/zenodo.3957216
title: GREEN-VARAN scores resources (FIRE GRCh38)

description: Processed FIRE scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for FIRE. See: https://sites.google.com/site/fireregulatoryvariation/ If you use FIRE score annotations with GREEN-VARAN don't forget to cite also the original FIRE paper.
description: {"references": ["FIRE paper: https://pubmed.ncbi.nlm.nih.gov/28961785"]}
DOI: 10.5281/zenodo.3957215
title: GREEN-VARAN scores resources (FIRE GRCh38)

description: Processed FIRE scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for FIRE. See: https://sites.google.com/site/fireregulatoryvariation/ If you use FIRE score annotations with GREEN-VARAN don't forget to cite also the original FIRE paper.
description: {"references": ["FIRE paper: https://pubmed.ncbi.nlm.nih.gov/28961785"]}
DOI: 10.5281/zenodo.3981045
title: Simulation results for AGS paper

description: Simulation result data for the DrugLogics AGS paper (to be submitted)
DOI: 10.25405/data.ncl.12800669
title: PLEXUS Thermal Conductivity Data

description: This dataset presents thermal conductivity measurements performed every 3 hours in the soil column at 250, 350, 550 and 750 mm.
DOI: 10.5284/1079024
title: Union Chain Bridge, The River Tweed, Horncliffe, Northumberland/Hutton, Scottish Borders. As-Existing Photographic Record

description: The Union Chain Bridge (listed Grade England, Category A Scotland) is an early (1819) chain-link suspension bridge across the River Tweed between the parishes of Horncliffe, Northumberland, and Hutton, Scottish Borders. The bridge components have been subject to a number of repairs/replacements over the years, and is now to be dismantled for thorough cleaning and restoration by Northumberland County Council. The as-existing photographic recording was undertaken for Spence & Dower, conservation architects. It meets one of the requirements of Northumberland Conservation's Historic Building recording programme for archaeological mitigation as a condition of Listed Building Consent. Spence & Dower will maintain a watching brief during the dismantling and restoration works, and the as-existing record will form part of their final, full, report. The as-existing record report 'As-existing photographic recording (as part of a wider Historic Building Recording programme' (NCAS January 2020) has been submitted to and approved by Northumberland Conservation..
DOI: 10.5281/zenodo.3956385
title: GREEN-VARAN scores resources (CADD GRCh37)

description: Processed CADD scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for CADD v.1.4. See: https://cadd.gs.washington.edu/ If you use CADD score annotations with GREEN-VARAN don't forget to cite also the original CADD paper.
description: {"references": ["CADD paper: https://pubmed.ncbi.nlm.nih.gov/30371827"]}
DOI: 10.5281/zenodo.3956384
title: GREEN-VARAN scores resources (CADD GRCh37)

description: Processed CADD scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for CADD v.1.4. See: https://cadd.gs.washington.edu/ If you use CADD score annotations with GREEN-VARAN don't forget to cite also the original CADD paper.
description: {"references": ["CADD paper: https://pubmed.ncbi.nlm.nih.gov/30371827"]}
DOI: 10.5281/zenodo.3974640
title: ROI analysis of abdominal aortic aneurysm

description: This data is used to compare three different positron emission tomography (PET) image reconstruction algorithms: ordered subsets expectation maximisation (OSEM), kernelised expectation maximisation (KEM) and Hybrid KEM (HKEM). There are two csv files, one contains the data from 61 patients with abdominal aortic aneurysm (AAA) and the other contains the data from 11 control subjects. There are three different regions of interest (ROIs): the aneurysm (AAA), the healthy aorta (aorta) and the vena cava (pool). these files can be read from any software such as R, excel, python etc. an example on how to read the data on R is the following: <em>s&lt;- read.csv(file = 'TotROI_list', header = F,sep =",", comment.char = "#" )<br> colnames(s) &lt;- c("Patient_ID","Algorithm","neighbours","sm","sp","sdm","sdp","Subiteration","ROI", "Mean", "SD","Max","Min", "CoV","Volume")</em> the columns are organised as follows: <strong>Patient_ID, Algorithm, neighbours, sigma_m, sigma_p, sigma_dm, sigma_dp, Subiteration, ROI, Mean value, Standard Deviation, Max value, Min value, Coefficient of Variation, Volume (number of voxels)</strong>
description: Extraction of this datasets was Funded by UK National Physical Laboratory through the National Measurement System. The National Physical Laboratory is operated by NPL Management Ltd, a wholly owned company of the UK Department for Business, Energy and Industrial Strategy (BEIS).
DOI: 10.5281/zenodo.3956227
title: GREEN-VARAN scores resources (CADD GRCh38)

description: Processed CADD scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for CADD v.1.5. See: https://cadd.gs.washington.edu/ If you use CADD score annotations with GREEN-VARAN don't forget to cite also the original CADD paper.
description: {"references": ["CADD paper: https://pubmed.ncbi.nlm.nih.gov/30371827"]}
DOI: 10.5281/zenodo.3956226
title: GREEN-VARAN scores resources (CADD GRCh38)

description: Processed CADD scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for CADD v.1.5. See: https://cadd.gs.washington.edu/ If you use CADD score annotations with GREEN-VARAN don't forget to cite also the original CADD paper.
description: {"references": ["CADD paper: https://pubmed.ncbi.nlm.nih.gov/30371827"]}
DOI: 10.7939/dvn/zxy0gi/i0fmlx
title: albedo.F90
DOI: 10.7939/dvn/zxy0gi/aykna1
title: ANHA4-EXH005.db
DOI: 10.7939/dvn/zxy0gi/s8ahek
title: ANHA4-EXH005.ksh
DOI: 10.7939/dvn/zxy0gi/b86mb3
title: CPP.keys
DOI: 10.7939/dvn/zxy0gi/rpc1ia
title: diawri.F90
DOI: 10.7939/dvn/zxy0gi/oxyzpv
title: diawri_dimg.h90
DOI: 10.7939/dvn/zxy0gi/v7xmat
title: domzgr_substitute.h90
DOI: 10.7939/dvn/zxy0gi/rvuaxh
title: dynldf_iso.F90
DOI: 10.7939/dvn/zxy0gi/bhz4q4
title: fldread.F90
DOI: 10.7939/dvn/zxy0gi/zqex9q
title: in_out_manager.F90
DOI: 10.7939/dvn/zxy0gi/5xlod0
title: istate.F90
DOI: 10.7939/dvn/zxy0gi/pl2jhb
title: ldfdyn.F90
DOI: 10.7939/dvn/zxy0gi/xrzxud
title: ldfdyn_oce.F90
DOI: 10.7939/dvn/zxy0gi/l2nnuy
title: ldfslp.F90
DOI: 10.5281/zenodo.3524185
title: Sea Of Galilee - 2018 Seismic Sequence - Temporary Network

description: <strong>SoG_201807_MSEED:</strong><br> Station Type: <em>3-Components Short Period</em><br> Format: <em>MSEED </em><br> Location: <em>Sea Of Galilee.</em><br> Deployment Time: <em>July 2018</em> <strong>STATION0_IS.HYP: </strong>Velocity Model and Stations Locations<br> <br> <strong>Resp_Files:</strong> Response files for all stations 3 Components
DOI: 10.5281/zenodo.3524184
title: Sea Of Galilee - 2018 Seismic Sequence - Temporary Network

description: <strong>SoG_201807_MSEED:</strong><br> Station Type: <em>3-Components Short Period</em><br> Format: <em>MSEED </em><br> Location: <em>Sea Of Galilee.</em><br> Deployment Time: <em>July 2018</em> <strong>STATION0_IS.HYP: </strong>Velocity Model and Stations Locations<br> <br> <strong>Resp_Files:</strong> Response files for all stations 3 Components
DOI: 10.7910/dvn/fjjndn/lgubkj
title: post-mat.Rdata

description: :unav
DOI: 10.7910/dvn/fjjndn/qaibwi
title: predictions.tab

description: :unav
DOI: 10.7910/dvn/fjjndn/afzrhy
title: estimation-full_info.R

description: :unav
DOI: 10.7910/dvn/fjjndn/lojuux
title: prediction-parallel.R

description: :unav
DOI: 10.7910/dvn/fjjndn/pqksrs
title: README.txt

description: :unav
DOI: 10.7910/dvn/fjjndn/3h5cgc
title: prediction-serial.R

description: :unav
DOI: 10.7910/dvn/fjjndn/qeteiu
title: krigedPointsFine.tab

description: :unav
DOI: 10.7910/dvn/fjjndn/dlk03a
title: out-mat.Rdata

description: :unav
DOI: 10.7910/dvn/fjjndn/pjmsxh
title: example-NYC_ideo.R

description: :unav
DOI: 10.7910/dvn/fjjndn/vvqnty
title: table-maker.R

description: :unav
DOI: 10.7910/dvn/fjjndn/d3wjs6
title: post-mat.Rdata

description: :unav
DOI: 10.7910/dvn/fjjndn/l77sv2
title: predictions.tab

description: :unav
DOI: 10.7910/dvn/fjjndn/qvgzah
title: estimation-full_info.R

description: :unav
DOI: 10.7910/dvn/fjjndn/ytalpd
title: prediction-parallel.R

description: :unav
DOI: 10.7910/dvn/fjjndn/smkvfv
title: README.txt

description: :unav
DOI: 10.7910/dvn/fjjndn/ty6dlb
title: prediction-serial.R

description: :unav
DOI: 10.7910/dvn/fjjndn/kxm3og
title: krigedPointsFine.tab

description: :unav
DOI: 10.7910/dvn/fjjndn/czobah
title: out-mat.Rdata

description: :unav
DOI: 10.7910/dvn/fjjndn/kohgt0
title: example-NYC_ideo.R

description: :unav
DOI: 10.7910/dvn/fjjndn/xm12rv
title: table-maker.R

description: :unav
DOI: 10.7910/dvn/fjjndn/5446md
title: example-NYState_ideo.R

description: :unav
DOI: 10.7910/dvn/fjjndn/t609c3
title: data-congCombined.R

description: :unav
DOI: 10.7910/dvn/fjjndn/w47gav
title: example-WV_wells.R

description: :unav
DOI: 10.7910/dvn/fjjndn/rlvszj
title: state-legislators.R

description: :unav
DOI: 10.7910/dvn/fjjndn/0ndadi
title: krige.ext_0.5.6.0001.tar.gz

description: :unav
DOI: 10.7910/dvn/fjjndn/ifnq4x
title: cces08reformattedFine48.tab

description: :unav
DOI: 10.7910/dvn/fjjndn
title: krige: R Software for Bayesian Universal Kriging

description: These are the replication files for paper "krige: R Software for Bayesian Universal Kriging."
DOI: 10.5281/zenodo.3956168
title: GREEN-VARAN scores resources (GRCh37)

description: Processed non-coding prediction scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for the following scores: ReMM v0.3.1 (https://charite.github.io/software-remm-score.html) NCBoost v.1 (https://github.com/RausellLab/NCBoost) ExPECTO (https://hb.flatironinstitute.org/expecto/) LinSight (https://github.com/CshlSiepelLab/LINSIGHT) GWAVA v1.0 (https://www.sanger.ac.uk/sanger/StatGen_Gwava) If you use any of these score annotations with GREEN-VARAN please cite also the corresponding paper.
description: {"references": ["ReMM paper: https://pubmed.ncbi.nlm.nih.gov/27569544", "NCBoost paper: https://pubmed.ncbi.nlm.nih.gov/30744685", "ExPECTO paper: https://pubmed.ncbi.nlm.nih.gov/30013180", "LinSight paper: https://pubmed.ncbi.nlm.nih.gov/28288115", "GWAVA paper: https://pubmed.ncbi.nlm.nih.gov/24487584"]}
DOI: 10.5281/zenodo.3956167
title: GREEN-VARAN scores resources (GRCh37)

description: Processed non-coding prediction scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for the following scores: ReMM v0.3.1 (https://charite.github.io/software-remm-score.html) NCBoost v.1 (https://github.com/RausellLab/NCBoost) ExPECTO (https://hb.flatironinstitute.org/expecto/) LinSight (https://github.com/CshlSiepelLab/LINSIGHT) GWAVA v1.0 (https://www.sanger.ac.uk/sanger/StatGen_Gwava) If you use any of these score annotations with GREEN-VARAN please cite also the corresponding paper.
description: {"references": ["ReMM paper: https://pubmed.ncbi.nlm.nih.gov/27569544", "NCBoost paper: https://pubmed.ncbi.nlm.nih.gov/30744685", "ExPECTO paper: https://pubmed.ncbi.nlm.nih.gov/30013180", "LinSight paper: https://pubmed.ncbi.nlm.nih.gov/28288115", "GWAVA paper: https://pubmed.ncbi.nlm.nih.gov/24487584"]}
DOI: 10.5281/zenodo.3955933
title: GREEN-VARAN scores resources (GRCh38)

description: Processed non-coding prediction scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for the following scores. When not available from the original source, the GRCh38 coordinates were obtained by liftover. ReMM v0.3.1 (https://charite.github.io/software-remm-score.html) NCBoost v.1 (https://github.com/RausellLab/NCBoost) ExPECTO (https://hb.flatironinstitute.org/expecto/) LinSight (https://github.com/CshlSiepelLab/LINSIGHT) GWAVA v1.0 (https://www.sanger.ac.uk/sanger/StatGen_Gwava) If you use any of these score annotations with GREEN-VARAN please cite also the corresponding paper.
description: {"references": ["ReMM paper: https://pubmed.ncbi.nlm.nih.gov/27569544", "NCBoost paper: https://pubmed.ncbi.nlm.nih.gov/30744685", "ExPECTO paper: https://pubmed.ncbi.nlm.nih.gov/30013180", "LinSight paper: https://pubmed.ncbi.nlm.nih.gov/28288115", "GWAVA paper: https://pubmed.ncbi.nlm.nih.gov/24487584"]}
DOI: 10.5281/zenodo.3955932
title: GREEN-VARAN scores resources (GRCh38)

description: Processed non-coding prediction scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for the following scores. When not available from the original source, the GRCh38 coordinates were obtained by liftover. ReMM v0.3.1 (https://charite.github.io/software-remm-score.html) NCBoost v.1 (https://github.com/RausellLab/NCBoost) ExPECTO (https://hb.flatironinstitute.org/expecto/) LinSight (https://github.com/CshlSiepelLab/LINSIGHT) GWAVA v1.0 (https://www.sanger.ac.uk/sanger/StatGen_Gwava) If you use any of these score annotations with GREEN-VARAN please cite also the corresponding paper.
description: {"references": ["ReMM paper: https://pubmed.ncbi.nlm.nih.gov/27569544", "NCBoost paper: https://pubmed.ncbi.nlm.nih.gov/30744685", "ExPECTO paper: https://pubmed.ncbi.nlm.nih.gov/30013180", "LinSight paper: https://pubmed.ncbi.nlm.nih.gov/28288115", "GWAVA paper: https://pubmed.ncbi.nlm.nih.gov/24487584"]}
DOI: 10.5281/zenodo.3982484
title: GREEN-VARAN scores resources (FATHMM-XF GRCh38)

description: Processed FATHMM-XF non-coding scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for FATHMM-XF v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-XF score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-XF paper.
description: {"references": ["FATHMM-XF paper: https://pubmed.ncbi.nlm.nih.gov/28968714"]}
DOI: 10.5281/zenodo.3982483
title: GREEN-VARAN scores resources (FATHMM-XF GRCh38)

description: Processed FATHMM-XF non-coding scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for FATHMM-XF v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-XF score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-XF paper.
description: {"references": ["FATHMM-XF paper: https://pubmed.ncbi.nlm.nih.gov/28968714"]}
DOI: 10.5281/zenodo.3982392
title: GREEN-VARAN scores resources (FATHMM-XF GRCh37)

description: Processed FATHMM-XF non-coding scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FATHMM-XF v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-XF score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-XF paper.
description: {"references": ["FATHMM-XF paper: https://pubmed.ncbi.nlm.nih.gov/28968714"]}
DOI: 10.5281/zenodo.3982391
title: GREEN-VARAN scores resources (FATHMM-XF GRCh37)

description: Processed FATHMM-XF non-coding scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FATHMM-XF v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-XF score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-XF paper.
description: {"references": ["FATHMM-XF paper: https://pubmed.ncbi.nlm.nih.gov/28968714"]}
DOI: 10.5281/zenodo.3981113
title: GREEN-VARAN scores resources (FATHMM-MKL GRCh37)

description: Processed FATHMM-MKL scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FATHMM-MKL v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-MKL score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-MKL paper.
description: {"references": ["FATHMM-MKL paper: https://pubmed.ncbi.nlm.nih.gov/25583119"]}
DOI: 10.5517/ccdc.csd.cc1j1mdl
title: CCDC 1401739: Experimental Crystal Structure Determination

description: Related Article: Ganghuo Pan, Jie Leng, Zhongming Shang, Liye Deng|2020|Inorg.Chem.Commun.|119|108088|doi:10.1016/j.inoche.2020.108088
DOI: 10.5517/ccdc.csd.cc1j1mfm
title: CCDC 1401740: Experimental Crystal Structure Determination

description: Related Article: Ganghuo Pan, Jie Leng, Zhongming Shang, Liye Deng|2020|Inorg.Chem.Commun.|119|108088|doi:10.1016/j.inoche.2020.108088
DOI: 10.5281/zenodo.3981112
title: GREEN-VARAN scores resources (FATHMM-MKL GRCh37)

description: Processed FATHMM-MKL scores to be used with GREEN-VARAN This dataset contains the GRCh37 version for FATHMM-MKL v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-MKL score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-MKL paper.
description: {"references": ["FATHMM-MKL paper: https://pubmed.ncbi.nlm.nih.gov/25583119"]}
DOI: 10.5517/ccdc.csd.cc238fjc
title: CCDC 1944522: Experimental Crystal Structure Determination

description: Related Article: Yunjie Luo, Yingming Yao, Qi Shen, Yan Xing|2002|J.Rare Earths|20|374|
DOI: 10.5517/ccdc.csd.cc23kcqs
title: CCDC 1953115: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc23kcrt
title: CCDC 1953116: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc23kcsv
title: CCDC 1953117: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc23kctw
title: CCDC 1953118: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc23kcvx
title: CCDC 1953119: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc23kcwy
title: CCDC 1953120: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|Chem.Commun.|56|8806|doi:10.1039/D0CC01255F
DOI: 10.5517/ccdc.csd.cc24fnr0
title: CCDC 1979342: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc24snyk
title: CCDC 1989919: Experimental Crystal Structure Determination

description: Related Article: Alessandro Castrogiovanni, Dominik Lotter, Fabian R. Bissegger, Christof Sparr|2020|Chem.-Eur.J.|26|9864|doi:10.1002/chem.202001269
DOI: 10.5517/ccdc.csd.cc24sp0n
title: CCDC 1989921: Experimental Crystal Structure Determination

description: Related Article: Alessandro Castrogiovanni, Dominik Lotter, Fabian R. Bissegger, Christof Sparr|2020|Chem.-Eur.J.|26|9864|doi:10.1002/chem.202001269
DOI: 10.5517/ccdc.csd.cc24wkyk
title: CCDC 1992709: Experimental Crystal Structure Determination

description: Related Article: Kira Behm, Eszter Fazekas, Martin J. Paterson, Filipe Vilela, Ruaraidh D. McIntosh|2020|Chem.-Eur.J.|26|9486|doi:10.1002/chem.202001678
DOI: 10.5517/ccdc.csd.cc24wkzl
title: CCDC 1992710: Experimental Crystal Structure Determination

description: Related Article: Kira Behm, Eszter Fazekas, Martin J. Paterson, Filipe Vilela, Ruaraidh D. McIntosh|2020|Chem.-Eur.J.|26|9486|doi:10.1002/chem.202001678
DOI: 10.5281/zenodo.3981121
title: GREEN-VARAN scores resources (FATHMM-MKL GRCh38)

description: Processed FATHMM-MKL scores to be used with GREEN-VARAN This dataset contains the GRCh38 version for FATHMM-MKL v2.3 non-coding annotations. See: http://fathmm.biocompute.org.uk/ If you use FATHMM-MKL score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-MKL paper.
description: {"references": ["FATHMM-MKL paper: https://pubmed.ncbi.nlm.nih.gov/25583119"]}