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牛人牛文与Royal We

已有 5445 次阅读 2014-11-11 03:13 |个人分类:侠客行|系统分类:科研笔记|关键词:学者

在生物信息学的江湖里,大侠Heng Li 暑期发文一篇。且看摘要:

Fast construction of FM-index for long sequence reads
  1. Heng Li

+Author Affiliations

  1. Medical Population Genetics Program, Broad Institute, 75 Ames Street, Cambridge, MA 02142, USA

  • Received June 2, 2014.

  • Revision received July 15, 2014.

  • Accepted August 4, 2014.

Abstract

Summary: We present a new method to incrementally construct the FM-index for both short and long sequence reads, up to the size of a genome. It is the first algorithm that can build the index while implicitly sorting the sequences in the reverse (complement) lexicographical order without a separate sorting step. The implementation is among the fastest for indexing short reads and the only one that practically works for reads of averaged kilobases in length.

Availability and implementation: https://github.com/lh3/ropebwt2

Contact: hengli@broadinstitute.org

  • © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com


由于跟大侠段数差得太远,不敢对其武功的精妙之处妄加品评,但其气场还是透过屏幕扑面而来。大侠文风和其系列软件(BWA,Samtools等)一样简洁有力;两个月的审稿时间充分说明其出招快、准、狠;单一作者更有一种独来独往的萧瑟悲凉之感;而全文使用We做主语更显示了一种皇室气度(参见Royal We)。


感慨一番,以自勉。





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