Abstract

Since its introduction, RNA-Seq technology has been used extensively in studies of pathogenic bacteria to identify and quantify differences in gene expression across multiple samples from bacteria exposed to different conditions. With some exceptions, tools for studying gene expression, determination of differential gene expression, downstream pathway analysis and normalization of data collected in extreme biological conditions is still lacking. Here, we describe ProkSeq, a user-friendly, fully automated RNA-Seq data analysis pipeline designed for prokaryotes. ProkSeq provides a wide variety of options for analysing differential expression, normalizing expression data and visualizing data and results.

Published in

Bioinformatics
2021, Volume: 37, number: 1, pages: 126-128
Publisher: OXFORD UNIV PRESS

SLU Authors

• Delhomme, Nicolas

  • Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Bioinformatics and Systems Biology


Publication identifier

DOI: https://doi.org/10.1093/bioinformatics/btaa1063

Permanent link to this page (URI)

https://res.slu.se/id/publ/112515