BioQueue: a novel pipeline framework to accelerate bioinformatics analysis
2017-10-15
发表期刊BIOINFORMATICS
ISSN1367-4803
卷号33期号:20页码:3286-3288
发表状态已发表
DOI10.1093/bioinformatics/btx403
摘要

Motivation: With the rapid development of Next-Generation Sequencing, a large amount of data is now available for bioinformatics research. Meanwhile, the presence of many pipeline frameworks makes it possible to analyse these data. However, these tools concentrate mainly on their syntax and design paradigms, and dispatch jobs based on users' experience about the resources needed by the execution of a certain step in a protocol. As a result, it is difficult for these tools to maximize the potential of computing resources, and avoid errors caused by overload, such as memory overflow.

收录类别SCI
资助项目National Nature Science Foundation of China[81472635] ; National Nature Science Foundation of China[81672795]
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:000412780100019
出版者OXFORD UNIV PRESS
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/9919
专题生命科学与技术学院
生命科学与技术学院_博士生
通讯作者Yao, Li; Sui, Guangchao
作者单位
1.Northeast Forestry Univ, Coll Life Sci, Harbin 150040, Heilongjiang, Peoples R China
2.Shanghai Tech Univ, Sch Life Sci & Technol, Shanghai 200031, Peoples R China
推荐引用方式
GB/T 7714
Yao, Li,Wang, Heming,Song, Yuanyuan,et al. BioQueue: a novel pipeline framework to accelerate bioinformatics analysis[J]. BIOINFORMATICS,2017,33(20):3286-3288.
APA Yao, Li,Wang, Heming,Song, Yuanyuan,&Sui, Guangchao.(2017).BioQueue: a novel pipeline framework to accelerate bioinformatics analysis.BIOINFORMATICS,33(20),3286-3288.
MLA Yao, Li,et al."BioQueue: a novel pipeline framework to accelerate bioinformatics analysis".BIOINFORMATICS 33.20(2017):3286-3288.
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