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Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing

机译:用于下一代DNA测序的基于哈希的长读序列作图算法的剖析

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摘要

Motivation: Recently, a number of programs have been proposed for mapping short reads to a reference genome. Many of them are heavily optimized for short-read mapping and hence are very efficient for shorter queries, but that makes them inefficient or not applicable for reads longer than 200 bp. However, many sequencers are already generating longer reads and more are expected to follow. For long read sequence mapping, there are limited options; BLAT, SSAHA2, FANGS and BWA-SW are among the popular ones. However, resequencing and personalized medicine need much faster software to map these long sequencing reads to a reference genome to identify SNPs or rare transcripts.
机译:动机:最近,已经提出了许多程序来将短读图谱映射到参考基因组。它们中的许多已针对短读映射进行了优化,因此对于较短的查询非常有效,但这使它们效率低下或不适用于长于200 bp的读取。但是,许多定序器已经产生了更长的读数,预计还会有更多的序列。对于长读序列映射,选择有限; BLAT,SSAHA2,FANGS和BWA-SW是最受欢迎的。但是,重测序和个性化医学需要更快的软件来将这些长测序读数映射到参考基因组,以识别SNP或稀有转录本。

著录项

  • 来源
    《Bioinformatics》 |2011年第2期|p.189-195|共7页
  • 作者

    Alok Choudhary;

  • 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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