De Novo Assembly Methods for Next Generation Sequencing Data

被引:16
|
作者
He, Yiming [1 ]
Zhang, Zhen [1 ]
Peng, Xiaoqing [1 ,2 ]
Wu, Fangxiang [3 ,4 ]
Wang, Jianxin [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
[2] Morehouse Sch Med, Atlanta, GA 30310 USA
[3] Univ Saskatchewan, Dept Mech Engn, Saskatoon, SK S7N 5A9, Canada
[4] Univ Saskatchewan, Div Biomed Engn, Saskatoon, SK S7N 5A9, Canada
基金
中国国家自然科学基金;
关键词
next-generation sequencing; genome assembly; overlap/lapout/consensus; de Bruijn graph;
D O I
10.1109/TST.2013.6616523
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The recent breakthroughs in next-generation sequencing technologies, such as those of Roche 454, Illumina/Solexa, and ABI SOLID, have dramatically reduced the cost of producing short reads of the genome of new species. The huge volume of reads, along with short read length, high coverage, and sequencing errors, poses a great challenge to de novo genome assembly. However, the paired-end information provides a new solution to these problems. In this paper, we review and compare some current assembly tools, including Newbler, CAP3, Velvet, SOAPdenovo, AllPaths, Abyss, IDBA, PE-Assembly, and Telescoper. In general, we compare the seed extension and graph-based methods that use the overlap/lapout/consensus approach and the de Bruijn graph approach for assembly. At the end of the paper, we summarize these methods and discuss the future directions of genome assembly.
引用
收藏
页码:500 / 514
页数:15
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