Coval: improving alignment quality and variant calling accuracy for next-generation sequencing data.
Accurate identification of DNA polymorphisms using next-generation sequencing technology is challenging because of a high rate of sequencing error and incorrect mapping of reads to reference genomes. Currently available short read aligners and DNA variant callers suffer from these problems. We devel...
Enregistré dans:
Auteurs principaux: | Shunichi Kosugi, Satoshi Natsume, Kentaro Yoshida, Daniel MacLean, Liliana Cano, Sophien Kamoun, Ryohei Terauchi |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2013
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/073e8266e16a424cbe5a7e604d0da610 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
MutMap+: genetic mapping and mutant identification without crossing in rice.
par: Rym Fekih, et autres
Publié: (2013) -
The accuracy of protein structure alignment servers
par: Aslam,Naeem, et autres
Publié: (2016) -
Angularity in DIS at next-to-next-to-leading log accuracy
par: Jiawei Zhu, et autres
Publié: (2021) -
Functional diversification gave rise to allelic specialization in a rice NLR immune receptor pair
par: Juan Carlos De la Concepcion, et autres
Publié: (2021) -
High-throughput SuperSAGE for digital gene expression analysis of multiple samples using next generation sequencing.
par: Hideo Matsumura, et autres
Publié: (2010)