Identification of bacteriophage genome sequences with representation learning.

Bai, Zeheng; Zhang, Yao-Zhong; Miyano, Satoru; Yamaguchi, Rui; Fujimoto, Kosuke; Uematsu, Satoshi; Imoto, Seiya

Bai, Zeheng; Zhang, Yao-Zhong; Miyano, Satoru; Yamaguchi, Rui; Fujimoto, Kosuke; Uematsu, Satoshi; Imoto, Seiya.

Afiliación

Bai Z; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
Zhang YZ; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
Miyano S; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
Yamaguchi R; M&D Data Science Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Fujimoto K; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
Uematsu S; Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan.
Imoto S; Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan.

Bioinformatics ; 38(18): 4264-4270, 2022 09 15.

Article en En | MEDLINE | ID: mdl-35920769

Asunto(s)

Bacteriófagos; Humanos; Bacteriófagos/genética; Programas Informáticos; Metagenoma; Aprendizaje Automático; Bacterias

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bacteriófagos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Japón

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