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Welcome to the RulNet project

RulNet is a web-oriented platform dedicated to the inference and analysis of regulatory networks from qualitative and quantitative –omics data by means of rule discovery and statistical techniques.

In the post-genomic era, fast development of high throughput methods is accompanied by a dramatic increase of the amount of data produced in functional genomics projects. Retrieving biologically relevant information and knowledge on molecular regulations from such massive amounts of data is a major challenge for the scientific community. In this context, different approaches have been developed to  infer regulatory networks from high throughput –omics data, providing researchers with conclusive results. Here we describe  RulNet an all-in-one and efficient solution for rule mining and network visualization with output results also compatible with Cytoscape .

Publication in PLOS ONE

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Partners and funding

This project is partly funded as part of the BREEDWHEAT Project , a long-term public-private research initiative whose aim is to develop and use efficient genome sequence-based tools and new methodologies for breeding wheat varieties with improved quality, sustainability, and productivity.

logo INRAE

The Database team from the LIMOS and the  BIG team from the INRA of Clermont-Ferrand are curently engaged in a coordinated effort to develop RulNet, a platform dedicated to Rule mining and network visualization.

This project was also initiated as part of a collaboration with Jean-Marc Petit from the database team of the LIRIS laboratory.

Update: 08 Dec 2021
Creation date: 11 Jun 2013