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PMID: 24709941 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

TraV: a genome context sensitive transcriptome browser.

PloS one ·Vol. 9 ·No. 4 ·2014-00-00 ·Pages e93677

Dietrich S, Wiegand S, Liesegang H

Abstract

Next-generation sequencing (NGS) technologies like Illumina and ABI Solid enable the investigation of transcriptional activities of genomes. While read mapping tools have been continually improved to enable the processing of the increasing number of reads generated by NGS technologies, analysis and visualization tools are struggling with the amount of data they are presented with. Current tools are capable of handling at most two to three datasets simultaneously before they are limited by available memory or due to processing overhead. In order to process fifteen transcriptome sequencing experiments of Bacillus licheniformis DSM13 obtained in a previous study, we developed TraV, a RNA-Seq analysis and visualization tool. The analytical methods are designed for prokaryotic RNA-seq experiments. TraV calculates single nucleotide activities from the mapping information to visualize and analyze multiple transcriptome sequencing experiments. The use of nucleotide activities instead of single read mapping information is highly memory efficient without incurring a processing overhead. TraV is available at http://appmibio.uni-goettingen.de/index.php?sec=serv.

MeSH Terms
Bacillus/genetics,metabolism Bacterial Proteins/biosynthesis,genetics Databases, Genetic Transcriptome User-Computer Interface
Chemicals
Bacterial Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Dietrich Sascha
Abteilung für Angewandte und Genomische Mikrobiologie, Institut für Mikrobiologie und Genetik, Norddeutsches Zentrum für Mikrobielle Genomforschung, Georg-August-Universität Göttingen, Göttingen, Germany.
Wiegand Sandra
Abteilung für Angewandte und Genomische Mikrobiologie, Institut für Mikrobiologie und Genetik, Norddeutsches Zentrum für Mikrobielle Genomforschung, Georg-August-Universität Göttingen, Göttingen, Germany.
Liesegang Heiko
Abteilung für Angewandte und Genomische Mikrobiologie, Institut für Mikrobiologie und Genetik, Norddeutsches Zentrum für Mikrobielle Genomforschung, Georg-August-Universität Göttingen, Göttingen, Germany.
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Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2014-00-00
Epub
2014-00-07
Pages
e93677
Language
English
Region
United States
NLM ID
101285081
PMCID
PMC3977867
Subset
IM
Analysis Services
Analysis Services

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