GATK PathSeq: a customizable computational tool for the discovery and identification of microbial sequences in libraries from eukaryotic hosts.

Walker, Mark A; Pedamallu, Chandra Sekhar; Ojesina, Akinyemi I; Bullman, Susan; Sharpe, Ted; Whelan, Christopher W; Meyerson, Matthew

Walker, Mark A; Pedamallu, Chandra Sekhar; Ojesina, Akinyemi I; Bullman, Susan; Sharpe, Ted; Whelan, Christopher W; Meyerson, Matthew.

Afiliação

Walker MA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Pedamallu CS; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Ojesina AI; Department of Medical Oncology and Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA, USA.
Bullman S; Department of Pathology, Harvard Medical School, Boston, MA, USA.
Sharpe T; University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Whelan CW; HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Meyerson M; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.

Bioinformatics ; 34(24): 4287-4289, 2018 12 15.

Article em En | MEDLINE | ID: mdl-29982281

Assuntos

Eucariotos; Genômica/métodos; Microbiota; Software; Genoma Bacteriano/genética; Microbiota/genética; Análise de Sequência de RNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genômica / Eucariotos / Microbiota Tipo de estudo: Diagnostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

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