Authors
Edi Prifti, Jean-Daniel Zucker, Karine Clement, Corneliu Henegar
Publication date
2008/11/15
Journal
Bioinformatics
Volume
24
Issue
22
Pages
2636-2638
Publisher
Oxford University Press
Description
Summary: 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.
Availability: http://www.funnet.info
Contact: [email protected]
Total citations
Scholar articles
E Prifti, JD Zucker, K Clement, C Henegar - Bioinformatics, 2008