title: FunNet: an integrative tool for exploring transcriptional interactions.
abstract: We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community.
  
  
  BACKGROUND
  http://www.funnet.info
authors.affiliation: INSERM, UMR-S 872, Les Cordeliers, Eq. 7 Nutriomique, Paris, France.
authors.forename: Edi
authors.initials: E
authors.lastname: Prifti
authors.forename: Jean-Daniel
authors.initials: JD
authors.lastname: Zucker
authors.forename: Karine
authors.initials: K
authors.lastname: Clement
authors.forename: Corneliu
authors.initials: C
authors.lastname: Henegar
mesh_terms: D019295:Computational Biology; D005786:Gene Expression Regulation / Q000235:genetics; D053263:Gene Regulatory Networks; D006801:Humans; D020407:Internet; D012984:Software; D049490:Systems Biology; D014158:Transcription, Genetic / Q000235:genetics*