Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq Data.

ABSTRACT: RNA-seq technology has become an important tool for quantifying the gene and transcript expression in transcriptome study. The two major difficulties for the gene and transcript expression quantification are the read mapping ambiguity and the overdispersion of the read distribution along reference sequence. Many approaches have been proposed to deal with these difficulties. A number of existing methods use Poisson distribution to model the read counts and this easily splits the counts into the contributions from multiple transcripts. Meanwhile, various solutions were put forward to account for the overdispersion in the Poisson models. By checking the similarities among the variation patterns of read counts for individual genes, we found that the count variation is exon-specific and has the

SUBMITTER: Liu X 

PROVIDER: S-EPMC4598124 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature