How to normalize metatranscriptomic count data for differential expression analysis.

ABSTRACT:

Background

Differential expression analysis on the basis of RNA-Seq count data has become a standard tool in transcriptomics. Several studies have shown that prior normalization of the data is crucial for a reliable detection of transcriptional differences. Until now it has not been clear whether and how the transcriptomic approach can be used for differential expression analysis in metatranscriptomics.

Methods

We propose a model for differential expression in metatranscriptomics that explicitly accounts for variations in the taxonomic composition of transcripts across different samples. As a main consequence the correct normalization of metatranscriptomic count data under this model requires the taxonomic separation of the data into organism-specific bins. Then the taxon-sp

SUBMITTER: Klingenberg H 

PROVIDER: S-EPMC5649605 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature