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从序列读取中获取意义:比对和组装方法

Sense from sequence reads: methods for alignment and assembly.

作者信息

Flicek Paul, Birney Ewan

机构信息

European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

出版信息

Nat Methods. 2009 Nov;6(11 Suppl):S6-S12. doi: 10.1038/nmeth.1376.

Abstract

The most important first step in understanding next-generation sequencing data is the initial alignment or assembly that determines whether an experiment has succeeded and provides a first glimpse into the results. In parallel with the growth of new sequencing technologies, several algorithms that align or assemble the large data output of today's sequencing machines have been developed. We discuss the current algorithmic approaches and future directions of these fundamental tools and provide specific examples for some commonly used tools.

摘要

理解下一代测序数据最重要的第一步是初始比对或组装,它能确定实验是否成功,并让人初步了解结果。随着新测序技术的发展,已开发出多种用于比对或组装当今测序仪产生的大数据的算法。我们将讨论这些基础工具当前的算法方法和未来发展方向,并为一些常用工具提供具体示例。

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