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


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.

SUBMITTER: Homer N 

PROVIDER: S-EPMC3218665 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

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

Homer Nils N   Nelson Stanley F SF  

Genome biology 20101008 10


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. ...[more]

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