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BioQueue: a novel pipeline framework to accelerate bioinformatics analysis

机译:生物曲线:一种加速生物信息学分析的新型管道框架

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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.
机译:动机:随着下一代测序的快速发展,现在可以获得大量数据用于生物信息学研究。 同时,许多管道框架的存在使得可以分析这些数据。 然而,这些工具主要集中在他们的语法和设计范式上,并根据用户在协议中执行某一步骤的资源来调度作业。 因此,这些工具难以最大化计算资源的潜力,并避免由过载引起的错误,例如内存溢出。

著录项

  • 来源
    《Bioinformatics》 |2017年第20期|共3页
  • 作者单位

    Northeast Forestry Univ Coll Life Sci Harbin 150040 Heilongjiang Peoples R China;

    Shanghai Tech Univ Sch Life Sci &

    Technol Shanghai 200031 Peoples R China;

    Northeast Forestry Univ Coll Life Sci Harbin 150040 Heilongjiang Peoples R China;

    Northeast Forestry Univ Coll Life Sci Harbin 150040 Heilongjiang Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
  • 关键词

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