FunNet

  • Authors:
  • Edi Prifti;Jean-Daniel Zucker;Karine Clement;Corneliu Henegar

  • Affiliations:
  • -;-;-;-

  • Venue:
  • Bioinformatics
  • Year:
  • 2008

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Abstract

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: edi.prifti@crc.jussieu.fr