Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/40607
Title: VariantValidator: Accurate validation, mapping and formatting of sequence variation descriptions.
Authors: Freeman, Peter J.
Hart, Reece K.
Gretton, Liam J.
Brookes, Anthony J.
Dalgleish, Raymond
First Published: 1-Oct-2017
Publisher: Wiley for Human Genome Variation Society
Citation: Human Mutation, 2017, 1–8.
Abstract: The Human Genome Variation Society (HGVS) variant nomenclature is widely used to describe sequence variants in scientific publications, clinical reports and databases. However, the HGVS recommendations are complex and this often results in inaccurate variant descriptions being reported. The open-source hgvs Python package (https://github.com/biocommons/hgvs) provides a programmatic interface for parsing, manipulating, formatting and validating of variants according to the HGVS recommendations, but does not provide a user-friendly web interface. We have developed a web-based variant validation tool, VariantValidator (https://variantvalidator.org/), which utilizes the hgvs Python package and provides additional functionality to assist users who wish to accurately describe and report sequence-level variations that are compliant with the HGVS recommendations. VariantValidator was designed to ensure that users are guided through the intricacies of the HGVS nomenclature, e.g. if the user makes a mistake, VariantValidator automatically corrects the mistake if it can, or provides helpful guidance if it cannot. In addition, VariantValidator has the facility to interconvert genomic variant descriptions in HGVS and Variant Call Format (VCF) with a degree of accuracy which surpasses most competing solutions.
DOI Link: 10.1002/humu.23348
ISSN: 1059-7794
eISSN: 1098-1004
Links: http://onlinelibrary.wiley.com/doi/10.1002/humu.23348/abstract
http://hdl.handle.net/2381/40607
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Genetics

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