EPGA2: memory-efficient de novo assembler | Zendy

Junwei Luo | Zendy; Jianxin Wang | Zendy; Weilong Li | Zendy; Zhen Zhang | Zendy; FangXiang Wu | Zendy; Min Li | Zendy; Yi Pan | Zendy

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EPGA2: memory-efficient de novo assembler

Author(s) -

Junwei Luo,

Jianxin Wang,

Weilong Li,

Zhen Zhang,

FangXiang Wu,

Min Li,

Yi Pan

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv487

Subject(s) - computer science , sequence assembly , pipeline (software) , contig , de bruijn sequence , de bruijn graph , construct (python library) , parallels , genome , reference genome , graph , theoretical computer science , parallel computing , programming language , biology , genetics , gene , mechanical engineering , gene expression , mathematics , transcriptome , discrete mathematics , engineering

In genome assembly, as coverage of sequencing and genome size growing, most current softwares require a large memory for handling a great deal of sequence data. However, most researchers usually cannot meet the requirements of computing resources which prevent most current softwares from practical applications.

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