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MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations.
Ellison, Mitchell A; Walker, Jennifer L; Ropp, Patrick J; Durrant, Jacob D; Arndt, Karen M.
Afiliação
  • Ellison MA; Department of Biological Sciences, University of Pittsburgh, PA, 15260 arndt@pitt.edu melliso46@gmail.com.
  • Walker JL; Department of Biological Sciences, University of Pittsburgh, PA, 15260.
  • Ropp PJ; Department of Biological Sciences, University of Pittsburgh, PA, 15260.
  • Durrant JD; Department of Biological Sciences, University of Pittsburgh, PA, 15260.
  • Arndt KM; Department of Biological Sciences, University of Pittsburgh, PA, 15260 arndt@pitt.edu melliso46@gmail.com.
G3 (Bethesda) ; 10(9): 3009-3014, 2020 09 02.
Article em En | MEDLINE | ID: mdl-32605926
ABSTRACT
MutantHuntWGS is a user-friendly pipeline for analyzing Saccharomyces cerevisiae whole-genome sequencing data. It uses available open-source programs to (1) perform sequence alignments for paired and single-end reads, (2) call variants, and (3) predict variant effect and severity. MutantHuntWGS outputs a shortlist of variants while also enabling access to all intermediate files. To demonstrate its utility, we use MutantHuntWGS to assess multiple published datasets; in all cases, it detects the same causal variants reported in the literature. To encourage broad adoption and promote reproducibility, we distribute a containerized version of the MutantHuntWGS pipeline that allows users to install and analyze data with only two commands. The MutantHuntWGS software and documentation can be downloaded free of charge from https//github.com/mae92/MutantHuntWGS.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2020 Tipo de documento: Article