Differential expression analysis of RNA-seq data at single-base resolution.

ABSTRACT: RNA-sequencing (RNA-seq) is a flexible technology for measuring genome-wide expression that is rapidly replacing microarrays as costs become comparable. Current differential expression analysis methods for RNA-seq data fall into two broad classes: (1) methods that quantify expression within the boundaries of genes previously published in databases and (2) methods that attempt to reconstruct full length RNA transcripts. The first class cannot discover differential expression outside of previously known genes. While the second approach does possess discovery capabilities, statistical analysis of differential expression is complicated by the ambiguity and variability incurred while assembling transcripts and estimating their abundances. Here, we propose a novel method that first identifies di

SUBMITTER: Frazee AC 

PROVIDER: S-EPMC4059460 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature