Deep learning-based real-time detection of novel pathogens during sequencing.

Bartoszewicz, Jakub M; Genske, Ulrich; Renard, Bernhard Y

Bartoszewicz, Jakub M; Genske, Ulrich; Renard, Bernhard Y.

Afiliação

Bartoszewicz JM; Digital Engineering Faculty, Hasso Plattner Institute, University of Postdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 Brandenburg, Germany.
Genske U; Digital Engineering Faculty, Hasso Plattner Institute, University of Postdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 Brandenburg, Germany.
Renard BY; Digital Engineering Faculty, Hasso Plattner Institute, University of Postdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 Brandenburg, Germany.

Brief Bioinform ; 22(6)2021 11 05.

Article em En | MEDLINE | ID: mdl-34297793

Assuntos

COVID-19/genética; SARS-CoV-2/isolamento & purificação; COVID-19/virologia; Aprendizado Profundo; Sequenciamento de Nucleotídeos em Larga Escala; Humanos; Nanoporos; Redes Neurais de Computação; SARS-CoV-2/genética; SARS-CoV-2/patogenicidade; Alinhamento de Sequência

Palavras-chave

biosecurity; deep learning; next-generation sequencing; novel pathogens; pathogen detection

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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