COWID: an efficient cloud-based genomics workflow for scalable identification of SARS-COV-2.

Lim, Hendrick Gao-Min; Fann, Yang C; Lee, Yuan-Chii Gladys

Lim, Hendrick Gao-Min; Fann, Yang C; Lee, Yuan-Chii Gladys.

Afiliação

Lim HG; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan 11031.
Fann YC; Department of Medical Research, Tzu Chi Hospital Indonesia, Pantai Indah Kapuk, Greater Jakarta, Indonesia 14470.
Lee YG; IT and Bioinformatics Program, Division of Intramural, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA 20892.

Brief Bioinform ; 24(5)2023 09 20.

Article em En | MEDLINE | ID: mdl-37738400

Assuntos

COVID-19; Humanos; COVID-19/diagnóstico; Computação em Nuvem; SARS-CoV-2/genética; Fluxo de Trabalho; Genômica

Palavras-chave

COVID-19; Illumina sequencing; SARS-CoV-2; cloud repurposing; cloud workflow; parallel computation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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