Mutalyzer 2: next generation HGVS nomenclature checker

Author:

Lefter Mihai1ORCID,Vis Jonathan K12,Vermaat Martijn1,den Dunnen Johan T12,Taschner Peter E M13,Laros Jeroen F J124ORCID

Affiliation:

1. Department of Human Genetics, Leiden University Medical Center (LUMC)Leiden, The Netherlands

2. Department of Clinical Genetics, Leiden University Medical Center (LUMC)Leiden, The Netherlands

3. Generade Centre of Expertise Genomics and Leiden Centre for Applied Bioscience, University of Applied Sciences Leiden, Leiden, The Netherlands

4. National Institute for Public Health and the Environment (RIVM), Bthoven, The Netherlands

Abstract

Abstract Motivation Unambiguous variant descriptions are of utmost importance in clinical genetic diagnostics, scientific literature and genetic databases. The Human Genome Variation Society (HGVS) publishes a comprehensive set of guidelines on how variants should be correctly and unambiguously described. We present the implementation of the Mutalyzer 2 tool suite, designed to automatically apply the HGVS guidelines so users do not have to deal with the HGVS intricacies explicitly to check and correct their variant descriptions. Results Mutalyzer is profusely used by the community, having processed over 133 million descriptions since its launch. Over a five year period, Mutalyzer reported a correct input in ∼50% of cases. In 41% of the cases either a syntactic or semantic error was identified and for ∼7% of cases, Mutalyzer was able to automatically correct the description. Availability and implementation Mutalyzer is an Open Source project under the GNU Affero General Public License. The source code is available on GitHub (https://github.com/mutalyzer/mutalyzer) and a running instance is available at: https://mutalyzer.nl

Funder

Netherlands Bioinformatics Centre

Netherlands Genomics Initiative

Dutch National Program COMMIT

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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