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PMID: 16109747 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Virtual Footprint and PRODORIC: an integrative framework for regulon prediction in prokaryotes.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 22 ·2005-11-15 ·Pages 4187-9

Münch R, Hiller K, Grote A, Scheer M, Klein J, Schobert M, Jahn D

Abstract

A new online framework for the accurate and integrative prediction of transcription factor binding sites (TFBSs) in prokaryotes was developed. The system consists of three interconnected modules: (1) The PRODORIC database as a comprehensive data source and extensive collection of TFBSs with corresponding position weight matrices. (2) The pattern matching tool Virtual Footprint for the prediction of genome based regulons and for the analysis of individual promoter regions. (3) The interactive genome browser GBPro for the visualization of TFBS search results in their genomic context and links to gene and regulator-specific information in PRODORIC. The aim of this service is to provide researchers a free and easy to use collection of interconnected tools in the field of molecular microbiology, infection and systems biology. http://www.prodoric.de/vfp.

MeSH Terms
Algorithms Bacterial Proteins Base Sequence Binding Sites Computational Biology/methods Databases, Genetic Databases, Protein Genes, Bacterial Genome Genome, Human Genomics Humans Information Storage and Retrieval Promoter Regions, Genetic Regulatory Sequences, Nucleic Acid Response Elements Sensitivity and Specificity Software Transcription Factors/genetics User-Computer Interface
Chemicals
Bacterial Proteins Transcription Factors
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Münch Richard
Institute of Microbiology, Technical University Braunschweig, Germany.
Hiller Karsten
Grote Andreas
Scheer Maurice
Klein Johannes
Schobert Max
Jahn Dieter
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-11-15
Epub
2005-00-18
Pages
4187-9
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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