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GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU
Su, Xiaoquan; Wang, Xuetao; Jing, Gongchao; Ning, Kang
2014-04-01
发表期刊BIOINFORMATICS
卷号30期号:7页码:1031-1033
摘要Motivation: The number of microbial community samples is increasing with exponential speed. Data-mining among microbial community samples could facilitate the discovery of valuable biological information that is still hidden in the massive data. However, current methods for the comparison among microbial communities are limited by their ability to process large amount of samples each with complex community structure.
文章类型Article
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences
DOI10.1093/bioinformatics/btt736
关键词[WOS]METAGENOMIC DATA ; RESOURCE ; SCHEME
收录类别SCI
语种英语
WOS研究方向Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS类目Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000334078300028
引用统计
文献类型期刊论文
条目标识符http://ir.qibebt.ac.cn/handle/337004/6206
专题单细胞中心组群
作者单位Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Single Cell Ctr,Computat Biol Grp, CAS Key Lab Biofuels & Bioenergy Genome Ctr,Shand, Qingdao 266101, Peoples R China
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Su, Xiaoquan,Wang, Xuetao,Jing, Gongchao,et al. GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU[J]. BIOINFORMATICS,2014,30(7):1031-1033.
APA Su, Xiaoquan,Wang, Xuetao,Jing, Gongchao,&Ning, Kang.(2014).GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU.BIOINFORMATICS,30(7),1031-1033.
MLA Su, Xiaoquan,et al."GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU".BIOINFORMATICS 30.7(2014):1031-1033.
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