A Computational Pipeline for Cross-Species Analysis of RNA-seq Data Using R and Bioconductor

RNA sequencing (RNA-seq) has revolutionized transcriptome analysis through profiling the expression of thousands of genes at the same time. Systematic analysis of orthologous transcripts across species is critical for understanding the evolution of gene expression and uncovering important information in animal models of human diseases. Several computational methods have been published for analyzing gene expression between species, but they often lack crucial details and therefore cannot serve as a practical guide.

Here, researchers from the Rochester Institute of Technology present the first step-by-step protocol for cross-species RNA-seq analysis with a concise workflow that is largely based on the free open-source R language and Bioconductor packages. This protocol covers the entire process from short-read mapping, gene expression quantification, differential expression analysis to pathway enrichment. Many useful utilities for data visualization are included. This complete and easy-to-follow protocol provides hands-on guidance for users who are new to cross-species gene expression analysis.

rna-seqComputational pipeline for cross-species expression analysis using RNARNARNA-seq. The pipeline is divided into eight steps.

Availability – The custom scripts for RNARNARNA-seq analysis and data visualization can be downloaded from https://github.com/ploverso. Other software or R packages are listed here and available for downloading.

LoVerso PR, Cui F. (2015) A Computational Pipeline for Cross-Species Analysis of RNA-seq Data Using R and Bioconductor. Bioinformatics and Biology Insights 2015:9 165-174. [article]

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