Contact infos

  • franck.giacomoni{at}inrae{dot}fr
  • phone: +33(0)4 73 62 47 72

Franck Giacomoni is coordinating the bioinformatic and informatics activities within the PFEM. His expertise concerns Databases, e-resources and data science for metabolomics: Development of high-throuput workflows; Enriching the metabolome annotation by the implementation of scientific information systems, and the development of bioinformatics tools; Following up the development of spectral and knowledge databases initiated previously; Providing services for an openscience research using metabolomics.  He is also a co-founding member, with the French Bioinformatics Institute, of the Workflow4metabolomics infrastructure, a collaborative data processing platform.



  • Coordinate projects for the development and implementation of computerized tools for Metabolomics.
  • Managing the Metabolism Exploration Platform information system.
  • Managing the INRAE eMPrEInTE CATI 3G (molecular phenotyping) team. - « Creating FAIR e-resources for knowledge  mining » workpackage leader for the MetaboHUB national infrastructure.


Main publications

  • Giacomoni, F., Le Corguille, G., Monsoor, M., Landi, M., Pericard, P., Pétéra, M., ... & Caron, C. (2015). Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. Bioinformatics31(9), 1493-1495. 
    doi: bioinformatics/btu813
  • Delmas, M., Filangi, O., Paulhe, N., Vinson, F., Duperier, C., Garrier, W., ... & Frainay, C. (2021). Building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases. bioRxiv.
    doi: 10.1101/2021.02.12.430944 
  • Van Rijswijk, M., Beirnaert, C., Caron, C., Cascante, M., Dominguez, V., Dunn, W. B., ... & Steinbeck, C. (2017). The future of metabolomics in ELIXIR. F1000Research6.
    doi: 10.12688%2Ff1000research.12342.2 
  • Guitton, Y., Tremblay-Franco, M., Le Corguillé, G., Martin, J. F., Pétéra, M., Roger-Mele, P., ... & Thévenot, E. A. (2017). Create, run, share, publish, and reference your LC–MS, FIA–MS, GC–MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics. The International Journal of Biochemistry & Cell Biology93, 89-101.
    doi: 10.1016/j.biocel.2017.07.002