20932289
This reference describes SRMA.
PMID | PMID 20932289 |
---|---|
Title | Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA. |
Year | 2010 |
Journal | Genome Biology |
Author | Homer N, Nelson SF. |
Volume | 11 |
Start page |
Error: No contents found at URL http://www.ebi.ac.uk/europepmc/webservices/rest/MED/20932289/citations/4000.
According to Europe PubMed Central, this reference has Error: no local variable "citations" was set. " Error: no local variable "citations" was set. " is not a number. citations.
For reference, you can check Google Scholar, which lacks an API because Google ...
Error: Invalid JSON. According to Almetric, this reference has an Altmetric score of Error: no local variable "altscore" was set. " Error: no local variable "altscore" was set. " is not a number..
Full text description
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.