Identification of a p -Coumarate Degradation Regulon in Rhodopseudomonas palustris by Xpression, an Integrated Tool for Prokaryotic RNA-Seq Data Processing
Author(s) -
Somsak Phattarasukol,
Matthew C. Radey,
Colin R. Lappala,
Yasuhiro Oda,
Hidetada Hirakawa,
M. Brittnacher,
Caroline S. Harwood
Publication year - 2012
Publication title -
applied and environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.552
H-Index - 324
eISSN - 1070-6291
pISSN - 0099-2240
DOI - 10.1128/aem.01418-12
Subject(s) - regulon , rhodopseudomonas palustris , identification (biology) , computational biology , biology , rna , rhodopseudomonas , microbiology and biotechnology , biological system , bacteria , biochemistry , genetics , bacterial protein , botany , gene
High-throughput sequencing of cDNA prepared from RNA, an approach known as RNA-seq, is coming into increasing use as a method for transcriptome analysis. Despite its many advantages, widespread adoption of the technique has been hampered by a lack of easy-to-use, integrated, open-source tools for analyzing the nucleotide sequence data that are generated. Here we describe Xpression, an integrated tool for processing prokaryotic RNA-seq data. The tool is easy to use and is fully automated. It performs all essential processing tasks, including nucleotide sequence extraction, alignment, quantification, normalization, and visualization. Importantly, Xpression processes multiplexed and strand-specific nucleotide sequence data. It extracts and trims specific sequences from files and separately quantifies sense and antisense reads in the final results. Outputs from the tool can also be conveniently used in downstream analysis. In this paper, we show the utility of Xpression to process strand-specific RNA-seq data to identify genes regulated by CouR, a transcription factor that controlsp -coumarate degradation by the bacteriumRhodopseudomonas palustris .
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