Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA.
Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA.
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DOI：
10.1186/gb-2010-11-10-r99
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发表时间：
2010
期刊：
影响因子：
12.3
通讯作者：
Nelson SF
中科院分区：
文献类型：
--
作者：
Homer N;Nelson SF
A primary component of next-generation sequencing analysis is to align short reads to a reference genome, with each read aligned independently. However, reads that observe the same non-reference DNA sequence are highly correlated and can be used to better model the true variation in the target genome. A novel short-read micro re-aligner, SRMA, that leverages this correlation to better resolve a consensus of the underlying DNA sequence of the targeted genome is described here.
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DOI：
10.1093/bioinformatics/btq217
发表时间：
2010-06-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Simpson JT;Durbin R
通讯作者：
Durbin R
影响因子：
3
作者：
Smith AD;Xuan Z;Zhang MQ
通讯作者：
Zhang MQ
影响因子：
7
作者：
Li, Heng;Ruan, Jue;Durbin, Richard
通讯作者：
Durbin, Richard
影响因子：
5.8
作者：
Myers, EW
通讯作者：
Myers, EW
影响因子：
12.3
作者：
Langmead B;Trapnell C;Pop M;Salzberg SL
通讯作者：
Salzberg SL