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Dataset . 2019
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Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
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Evaluation datasets and pre-computed scores for: "CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations"

Authors: ShuangLi;

Evaluation datasets and pre-computed scores for: "CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations"

Abstract

CAPICE is a computational method for predicting the pathogenicity of SNVs and InDels. Repository description: 1) "paper_datasets.tar.gz" contains all datasets used in the CAPICE paper; 2) "CAPICE_v1.0_GRCh37_whole_genome_SNVs_InDels.tsv.gz" contains the precomputed scores for all possible SNVs and InDels in genome build 37. The gzip file contains two sub-directories, namely, "SNVs" and "InDels". Within each sub-directory, there are gzip files containing precomputed scores per chromosome. Commands: 1) To view the content: tar -tf /path/to/the/compressed/file 2) To de-compress: tar -C /path/to/store/decompressed/files --to-command='tar -xzvf -' -xzvf /path/to/the/compressed/file

Related Organizations
Keywords

Machine Learning, Clinical Genetics, Allele Frequency, Exome Sequencing, Variant Pathogenicity Prediction, Molecular Consequence, Genome Diagnostics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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