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A fast, lock-free approach for efficient parallel counting of occurrences of k-mers

机译:快速,无锁的方法,可有效地并行计算k-mers的出现

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摘要

Motivation: Counting the number of occurrences of every k-mer (substring of length k) in a long string is a central subproblem in many applications, including genome assembly, error correction of sequencing reads, fast multiple sequence alignment and repeat detection. Recently, the deep sequence coverage generated by next-generation sequencing technologies has caused the amount of sequence to be processed during a genome project to grow rapidly, and has rendered current k-mer counting tools too slow and memory intensive. At the same time, large multicore computers have become commonplace in research facilities allowing for a new parallel computational paradigm.
机译:动机:计算长串中每个k-mer(长度为k的子串)的出现次数是许多应用中的中心子问题,包括基因组装配,测序读数的错误校正,快速多序列比对和重复检测。最近,下一代测序技术所产生的深度序列覆盖已导致在基因组计划期间要处理的序列数量迅速增长,并使当前的k-mer计数工具太慢且占用大量内存。同时,大型多核计算机在研究机构中变得司空见惯,从而允许一种新的并行计算范例。

著录项

  • 来源
    《Bioinformatics》 |2011年第6期|p.764-770|共7页
  • 作者

    Carl Kingsford;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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