VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets.

Achouri, Emna; Felt, Sébastien A; Hackbart, Matthew; Rivera-Espinal, Nicole S; López, Carolina B

Achouri, Emna; Felt, Sébastien A; Hackbart, Matthew; Rivera-Espinal, Nicole S; López, Carolina B.

Afiliação

Achouri E; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Felt SA; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Hackbart M; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Rivera-Espinal NS; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
López CB; Department of Molecular Microbiology and Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, USA clopezzalaquett@wustl.edu.

RNA ; 30(1): 16-25, 2023 Dec 18.

Article em En | MEDLINE | ID: mdl-37891004

Assuntos

Algoritmos; Genoma Viral; RNA-Seq; Biologia Computacional/métodos; Replicação Viral; RNA Viral/genética

Palavras-chave

RNA-seq; VODKA2; bioinformatics; defective viral genomes; viral genomes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Genoma Viral Idioma: En Revista: RNA Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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