RNentropy: an entropy-based tool for the detection of significant variation of gene expression across multiple RNA-Seq experiments.

ABSTRACT: RNA sequencing (RNA-Seq) has become the experimental standard in transcriptome studies. While most of the bioinformatic pipelines for the analysis of RNA-Seq data and the identification of significant changes in transcript abundance are based on the comparison of two conditions, it is common practice to perform several experiments in parallel (e.g. from different individuals, developmental stages, tissues), for the identification of genes showing a significant variation of expression across all the conditions studied. In this work we present RNentropy, a methodology based on information theory devised for this task, which given expression estimates from any number of RNA-Seq samples and conditions identifies genes or transcripts with a significant variation of expression across all the con

SUBMITTER: Zambelli F 

PROVIDER: S-EPMC5934672 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature