Fabien Jourdan
5
Documents
Identifiants chercheurs
- fabien-jourdan
- 0000-0001-9401-2894
- IdRef : 069183996
Présentation
**DR INRAE - TOXALIM Unit, Toulouse.**
**Research interests**
Food toxicology: some food contaminants, like Bipshenol A, may have impact on Human Health. Our aim is to study potential metabolic effects according to different doses and during critical Human development phases (e.g. pregnancy).
Bioinformatics: developing methods to study genome-scale metabolic networks. These approaches are mainly based on graph models and constraint based models (e.g. FBA). The aim is to use experimental data like metabolomics ones in order to retrieve parts of the organism metabolism affected by genetic or environmental perturbations.
***Keywords**: metabolic networks, metabolomics, information visualization, food toxicology*
**Affiliations:** Toxalim (Research Center in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31300 Toulouse, France
MetaboHub, French national infrastructure of metabolomics and fluxomics
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MetaboRank: network-based recommendation system to interpret and enrich metabolomics resultsBioinformatics, 2019, 35 (2), pp.274-283. ⟨10.1093/bioinformatics/bty577⟩
Article dans une revue
hal-02627792v1
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PhenoMeNal: processing and analysis of metabolomics data in the cloudGigaScience, 2019, 8 (2), pp.giy149. ⟨10.1093/gigascience/giy149⟩
Article dans une revue
hal-02627233v1
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MetExplore: collaborative edition and exploration of metabolic networksNucleic Acids Research, 2018, 46 (W1), 8 p. ⟨10.1093/nar/gky301⟩
Article dans une revue
hal-01886470v1
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The future of metabolomics in ELIXIRF1000Research, 2017, 6 (Version 2), ⟨10.12688/f1000research.12342.2⟩
Article dans une revue
hal-01630635v1
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A computational solution to automatically map metabolite libraries in the context of genome scale metabolic networksFrontiers in Molecular Biosciences, 2016, 3, ⟨10.3389/fmolb.2016.00002⟩
Article dans une revue
hal-02631089v1
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