ProkSeq for complete analysis of RNA-Seq data from prokaryotes
Author(s) -
A. K. M. Firoj Mahmud,
Nicolas Delhomme,
Soumyadeep Nandi,
Maria Fällman
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa1063
Subject(s) - python (programming language) , mit license , source code , computer science , documentation , rna seq , pipeline (software) , computational biology , database , software , data mining , gene expression , gene , programming language , biology , transcriptome , genetics
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.
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