Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal logo envt small Logo INP-EI Purpan Logo UPS-Tlse3

Home page

Zone de texte éditable et éditée et rééditée

Metabolic Networks

Metabolic Networks
Thanks to the functional annotation of genomes and advances in metabolomics, it is now possible to study the metabolic network of an organism as a whole. Bioinformatics makes an indispensable contribution to each step leading to the overall analysis of a metabolic network, automated rebuilding of it in developing new algorithms and dedicated tools..

Application field: some food contaminants like Bipshenol A may have impact on Human Health. Our aim is to study potential metabolic impacts of these compounds according to different doses and during critical Human development phases (e.g. pregnancy).
developing methods to study genome-scale metabolic networks. These approaches are mainly based on graph models and constraint based modelling. The aim is, based on experimental data like metabolomics ones, to retrieve parts of the organism metabolism affected by genetic or environmental perturbations.


For a more complete presentation, please visit this page.

Software and web servers:






Webserver for genome scale analysis of metabolic networks.

Cottret Ludovic, Frainay Clément, Chazalviel Maxime, Cabanettes Floréal, Gloaguen Yoann, Camenen Etienne, Merlet Benjamin, Portais Jean-Charles, Heux Stéphanie, Poupin Nathalie, Vinson Florence and Jourdan Fabien. MetExplore: Manage and Explore metabolic networks. (2018) Nucelic Acids Research. In press.


A Cytoscape plug-in to facilitate multilayer data interpretation

Enjalbert et al. Intuitive visualization and analysis of multi-omics data and application to Escherichia coli carbon metabolism (2011) Plos One. 6(6).


ab initio reconstruction of metabolic networks

Jourdan et al. MetaNetter: inference and visualization of high-resolution metabolomic networks. (2008) Bioinformatics, 24, 143-145.

People involved:

  • Fabien Jourdan (DR INRA)
  • Nathalie Poupin (CR INRA)
  • Florence Vinson (IE INRA)

Collaborations :

MetaSys, INRIA Toulouse : Jean-Charles Portais, Fabien Letisse, Stéphanie Heux

Bordeaux 1 (LaBRI)- MabioVis team : Pr. Guy Melançon, David Auber, Romain Bourqui, Jonathan Dubois

INRIA Bamboo team : Marie-France Sagot, Vincent Lacroix

University of Glasgow : Pr Michael P. Barrett, Yoann Gloaguen, Karl Burgess

CEA Saclay : Christophe Junot