BioQueue: a novel pipeline framework to accelerate bioinformatics analysis | Zendy

Yao Li | Zendy; Heming Wang | Zendy; Yuanyuan Song | Zendy; Guangchao Sui | Zendy

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BioQueue: a novel pipeline framework to accelerate bioinformatics analysis

Author(s) -

Yao Li,

Heming Wang,

Yuanyuan Song,

Guangchao Sui

Publication year - 2017

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/btx403

Subject(s) - computer science , pipeline (software) , syntax , source code , protocol (science) , documentation , programming language , message queue , software engineering , operating system , artificial intelligence , medicine , alternative medicine , pathology

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.

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