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hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update.
Wang, Meng; Callenberg, Keith M; Dalgleish, Raymond; Fedtsov, Alexandre; Fox, Naomi K; Freeman, Peter J; Jacobs, Kevin B; Kaleta, Piotr; McMurry, Andrew J; Prlic, Andreas; Rajaraman, Veena; Hart, Reece K.
Afiliação
  • Wang M; School of Life Sciences, Peking University, Beijing, China.
  • Callenberg KM; University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
  • Dalgleish R; Department of Genetics and Genome Biology, University of Leicester, Leicester, UK.
  • Fedtsov A; Invitae, Inc., San Francisco, California.
  • Fox NK; Invitae, Inc., San Francisco, California.
  • Freeman PJ; Department of Genetics and Genome Biology, University of Leicester, Leicester, UK.
  • Jacobs KB; Progenity Inc., Ann Arbor, Michigan.
  • Kaleta P; Counsyl, South San Francisco, California.
  • McMurry AJ; The Apache Software Foundation, Los Angeles, California.
  • Prlic A; Invitae, Inc., San Francisco, California.
  • Rajaraman V; Invitae, Inc., San Francisco, California.
  • Hart RK; Invitae, Inc., San Francisco, California.
Hum Mutat ; 39(12): 1803-1813, 2018 12.
Article em En | MEDLINE | ID: mdl-30129167
The Human Genome Variation Society (HGVS) nomenclature guidelines encourage the accurate and standard description of DNA, RNA, and protein sequence variants in public variant databases and the scientific literature. Inconsistent application of the HGVS guidelines can lead to misinterpretation of variants in clinical settings. Reliable software tools are essential to ensure consistent application of the HGVS guidelines when reporting and interpreting variants. We present the hgvs Python package, a comprehensive tool for manipulating sequence variants according to the HGVS nomenclature guidelines. Distinguishing features of the hgvs package include: (1) parsing, formatting, validating, and normalizing variants on genome, transcript, and protein sequences; (2) projecting variants between aligned sequences, including those with gapped alignments; (3) flexible installation using remote or local data (fully local installations eliminate network dependencies); (4) extensive automated tests; and (5) open source development by a community from eight organizations worldwide. This report summarizes recent and significant updates to the hgvs package since its original release in 2014, and presents results of extensive validation using clinical relevant variants from ClinVar and HGMD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Biologia Computacional / Bases de Dados Genéticas Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Hum Mutat Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Biologia Computacional / Bases de Dados Genéticas Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Hum Mutat Ano de publicação: 2018 Tipo de documento: Article