HRCM: An Efficient Hybrid Referential Compression Method for Genomic Big Data.

Yao, Haichang; Ji, Yimu; Li, Kui; Liu, Shangdong; He, Jing; Wang, Ruchuan

Yao, Haichang; Ji, Yimu; Li, Kui; Liu, Shangdong; He, Jing; Wang, Ruchuan.

Afiliação

Yao H; School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Ji Y; School of Computer and Software, Nanjing Institute of Industry Technology, Nanjing 210023, China.
Li K; School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Liu S; Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China.
He J; Institute of High Performance Computing and Big Data, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Wang R; School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Biomed Res Int ; 2019: 3108950, 2019.

Article em En | MEDLINE | ID: mdl-31915686

Assuntos

Big Data; Compressão de Dados/métodos; Genômica/métodos; Software; Bases de Dados Genéticas; Humanos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genômica / Compressão de Dados / Big Data Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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