Format

Send to

Choose Destination
Genome Biol. 2010;11(10):R99. doi: 10.1186/gb-2010-11-10-r99. Epub 2010 Oct 8.

Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA.

Author information

1
Department of Computer Science, University of California, Los Angeles, Boelter Hall, Los Angeles, CA 90095, USA. nhomer@cs.ucla.edu

Abstract

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 realigner, SRMA, that leverages this correlation to better resolve a consensus of the underlying DNA sequence of the targeted genome is described here.

PMID:
20932289
PMCID:
PMC3218665
DOI:
10.1186/gb-2010-11-10-r99
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for BioMed Central Icon for PubMed Central
Loading ...
Support Center