title: FIVA: Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes.
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.
  
  
  BACKGROUND
  http://bioinformatics.biol.rug.nl/standalone/fiva/
authors.affiliation: Molecular Genetics, Groningen Biomolecular Sciences, University of Groningen, Groningen, The Netherlands.
authors.forename: Evert-Jan
authors.initials: EJ
authors.lastname: Blom
authors.forename: Dinne W J
authors.initials: DW
authors.lastname: Bosman
authors.forename: Sacha A F T
authors.initials: SA
authors.lastname: van Hijum
authors.forename: Rainer
authors.initials: R
authors.lastname: Breitling
authors.forename: Lars
authors.initials: L
authors.lastname: Tijsma
authors.forename: Remko
authors.initials: R
authors.lastname: Silvis
authors.forename: Jos B T M
authors.initials: JB
authors.lastname: Roerdink
authors.forename: Oscar P
authors.initials: OP
authors.lastname: Kuipers
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001695:Biology / Q000379:methods*; D002874:Chromosome Mapping / Q000379:methods*; D007722:Health Knowledge, Attitudes, Practice; D011387:Prokaryotic Cells; D012984:Software; D014157:Transcription Factors / Q000235:genetics* / Q000378:metabolism*; D014584:User-Computer Interface
chemical_list: D014157:Transcription Factors