Reproducibility of Variant Calls in Replicate Next Generation Sequencing Experiments.
Nucleotide alterations detected by next generation sequencing are not always true biological changes but could represent sequencing errors. Even highly accurate methods can yield substantial error rates when applied to millions of nucleotides. In this study, we examined the reproducibility of nucleo...
Main Authors: | Yuan Qi, Xiuping Liu, Chang-Gong Liu, Bailing Wang, Kenneth R Hess, W Fraser Symmans, Weiwei Shi, Lajos Pusztai |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4489803?pdf=render |
Similar Items
-
Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems
by: Hess Kenneth R, et al.
Published: (2011-12-01) -
Improved Variant Calling Accuracy by Merging Replicates in Whole-Exome Sequencing Studies
by: Yanfeng Zhang, et al.
Published: (2014-01-01) -
Coval: improving alignment quality and variant calling accuracy for next-generation sequencing data.
by: Shunichi Kosugi, et al.
Published: (2013-01-01) -
Correction: Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data
by: Shunichi Kosugi, et al.
Published: (2014-01-01) -
Correction: Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data.
by: Shunichi Kosugi, et al.
Published: (2014-01-01)