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Managing High-Density Genotyping Data with Gigwa.
Sempéré, Guilhem; Larmande, Pierre; Rouard, Mathieu.
Afiliação
  • Sempéré G; CIRAD, UMR INTERTRYP, Montpellier, France.
  • Larmande P; INTERTRYP, Univ Montpellier, CIRAD, IRD, Montpellier, France.
  • Rouard M; French Institute of Bioinformatics (IFB)-South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, Montpellier, France.
Methods Mol Biol ; 2443: 415-427, 2022.
Article em En | MEDLINE | ID: mdl-35037218
ABSTRACT
Next generation sequencing technologies enabled high-density genotyping for large numbers of samples. Nowadays SNP calling pipelines produce up to millions of such markers, but which need to be filtered in various ways according to the type of analyses. One of the main challenges still lies in the management of an increasing volume of genotyping files that are difficult to handle for many applications. Here, we provide a practical guide for efficiently managing large genomic variation data using Gigwa, a user-friendly, scalable and versatile application that may be deployed either remotely on web servers or on a local machine.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França
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