DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics.

ABSTRACT: There are many instances in genomics data analyses where measurements are made on a multivariate response. For example, alternative splicing can lead to multiple expressed isoforms from the same primary transcript. There are situations where differences (e.g. between normal and disease state) in the relative ratio of expressed isoforms may have significant phenotypic consequences or lead to prognostic capabilities. Similarly, knowledge of single nucleotide polymorphisms (SNPs) that affect splicing, so-called splicing quantitative trait loci (sQTL) will help to characterize the effects of genetic variation on gene expression. RNA sequencing (RNA-seq) has provided an attractive toolbox to carefully unravel alternative splicing outcomes and recently, fast and accurate methods for transcript q

SUBMITTER: Nowicka M 

PROVIDER: S-EPMC5200948 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature