FIVA: Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes

Evert-Jan Blom; Dinne W J Bosman; Sacha A F T van Hijum; Rainer Breitling; Lars Tijsma; Remko Silvis; Jos B T M Roerdink; Oscar P Kuipers

doi:10.1093/bioinformatics/btl658

FIVA: Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes

Bioinformatics. 2007 May 1;23(9):1161-3. doi: 10.1093/bioinformatics/btl658. Epub 2007 Jan 19.

Authors

Evert-Jan Blom¹, Dinne W J Bosman, Sacha A F T van Hijum, Rainer Breitling, Lars Tijsma, Remko Silvis, Jos B T M Roerdink, Oscar P Kuipers

Affiliation

¹ Molecular Genetics, Groningen Biomolecular Sciences, University of Groningen, Groningen, The Netherlands.

PMID: 17237043
DOI: 10.1093/bioinformatics/btl658

Abstract

FIVA (Function Information Viewer and Analyzer) aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software assists in functional profiling of large sets of genes and generates a comprehensive overview of affected biological processes.

Availability: http://bioinformatics.biol.rug.nl/standalone/fiva/

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Artificial Intelligence*
Biology / methods*
Chromosome Mapping / methods*
Health Knowledge, Attitudes, Practice
Prokaryotic Cells
Software*
Transcription Factors / genetics*
Transcription Factors / metabolism*
User-Computer Interface*

Substances

Transcription Factors