FunNet: an integrative tool for exploring transcriptional interactions.
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
Prifti
Edi
E
INSERM, UMR-S 872, Les Cordeliers, Eq. 7 Nutriomique, Paris, France.
Zucker
Jean-Daniel
JD
Clement
Karine
K
Henegar
Corneliu
C
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*