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SeqWho: reliable, rapid determination of sequence file identity using k-mer frequencies in Random Forest classifiers.
Bennett, Christopher; Thornton, Micah; Park, Chanhee; Henry, Gervaise; Zhang, Yun; Malladi, Venkat; Kim, Daehwan.
Afiliação
  • Bennett C; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Thornton M; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Park C; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Henry G; Department of Urology, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Zhang Y; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Malladi V; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
  • Kim D; Lyda Hill Department of Bioinformatics, University of Texas Southwestern, Dallas, TX 75390, USA.
Bioinformatics ; 38(7): 1830-1837, 2022 03 28.
Article em En | MEDLINE | ID: mdl-35134110
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2022 Tipo de documento: Article