Publication: ClinVar data parsing
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Date
2017
Published Version
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Volume Title
Publisher
F1000Research
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Citation
Zhang, Xiaolei, Eric V. Minikel, Anne H. O'Donnell-Luria, Daniel G. MacArthur, James S. Ware, and Ben Weisburd. 2017. “ClinVar data parsing.” Wellcome Open Research 2 (1): 33. doi:10.12688/wellcomeopenres.11640.1. http://dx.doi.org/10.12688/wellcomeopenres.11640.1.
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Abstract
This software repository provides a pipeline for converting raw ClinVar data files into analysis-friendly tab-delimited tables, and also provides these tables for the most recent ClinVar release. Separate tables are generated for genome builds GRCh37 and GRCh38 as well as for mono-allelic variants and complex multi-allelic variants. Additionally, the tables are augmented with allele frequencies from the ExAC and gnomAD datasets as these are often consulted when analyzing ClinVar variants. Overall, this work provides ClinVar data in a format that is easier to work with and can be directly loaded into a variety of popular analysis tools such as R, python pandas, and SQL databases.
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Keywords
Articles, Bioinformatics, Genomics, variant interpretation, ClinVar, XML parsing, Mendelian disease, pathogenic variants
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