High-performance deep learning pipeline predicts individuals in mixtures of DNA using sequencing data.

Phan, Nam Nhut; Chattopadhyay, Amrita; Lee, Tsui-Ting; Yin, Hsiang-I; Lu, Tzu-Pin; Lai, Liang-Chuan; Hwa, Hsiao-Lin; Tsai, Mong-Hsun; Chuang, Eric Y

Phan, Nam Nhut; Chattopadhyay, Amrita; Lee, Tsui-Ting; Yin, Hsiang-I; Lu, Tzu-Pin; Lai, Liang-Chuan; Hwa, Hsiao-Lin; Tsai, Mong-Hsun; Chuang, Eric Y.

Afiliação

Phan NN; Bioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei, Taiwan.
Chattopadhyay A; Graduate Institute of Biomedical Electronics and Bioinformatics, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Lee TT; Bioinformatics and Biostatistics Core, Centre of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan.
Yin HI; Bioinformatics and Biostatistics Core, Centre of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan.
Lu TP; Department and Graduate Institute of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Lai LC; Department and Graduate Institute of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Hwa HL; Bioinformatics and Biostatistics Core, Centre of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan.
Tsai MH; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 10055, Taiwan.
Chuang EY; Bioinformatics and Biostatistics Core, Centre of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan.

Brief Bioinform ; 22(6)2021 11 05.

Article em En | MEDLINE | ID: mdl-34368845

Assuntos

DNA/genética; Aprendizado Profundo; Análise de Sequência de DNA/métodos; Sequenciamento de Nucleotídeos em Larga Escala/métodos; Humanos; Polimorfismo de Nucleotídeo Único

Palavras-chave

DNA mixture; breast cancer; deep learning; forensic; next-generation sequencing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Análise de Sequência de DNA / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan

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