Sammanfattning

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.

Publicerad i

Bioinformatics
2021, Volym: 37, nummer: 1, sidor: 126-128
Utgivare: OXFORD UNIV PRESS

SLU författare

• Delhomme, Nicolas

  • Institutionen för skoglig genetik och växtfysiologi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Bioinformatik och systembiologi


Publikationens identifierare

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

Permanent länk till denna sida (URI)

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