A statistical normalization method and differential expression analysis for RNA-seq data between different species.

ABSTRACT:

Background

High-throughput techniques bring novel tools and also statistical challenges to genomic research. Identifying genes with differential expression between different species is an effective way to discover evolutionarily conserved transcriptional responses. To remove systematic variation between different species for a fair comparison, normalization serves as a crucial pre-processing step that adjusts for the varying sample sequencing depths and other confounding technical effects.

Results

In this paper, we propose a scale based normalization (SCBN) method by taking into account the available knowledge of conserved orthologous genes and by using the hypothesis testing framework. Considering the different gene lengths and unmapped genes between different species, we f

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC6441199 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature