jeanne-got

 

Jeanne Got

IE, CNRS
ORCID ID: 0000-0002-2310-0843

Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique,
Campus de Beaulieu, 35042 Rennes Cedex, France.
Tel: +33 (0) 2 99 84 22 34
Fax: +33 (0) 2 99 84 71 71
Email: jeanne.got[at]irisa.fr

My life at IRISA…

I have worked as engineer for the CNRS since 2005. I have been member of the Dyliss team since 2013. I am interesting in the network metabolic reconstruction domain, I am in charge of supporting and promoting the metabolic software (https://github.com/AuReMe) of the Dyliss team: AuReMe, AuCoMe, and PADmet.

I am also member of the Bioinformatic GenOuest Platform and I take part of the SED of INRIA.

Publications

  • Aite M, Chevallier M, Frioux C, Trottier C, Got J, Cortés MP, Mendoza SN, Carrier G, Dameron O, Guillaudeux N, Latorre M, Loira N, Markov GV, Maass A, Siegel A. 2018. Traceability, reproducibility and wiki-exploration for “à-la-carte” reconstructions of genome-scale metabolic models. PLoS Comput Biol. DOI:10.1371/journal.pcbi.1006146.
  • Laniau J, Frioux C, Nicolas J, Baroukh C, Cortes MP, Got J, Trottier C, Eveillard D, Siegel A. 2017. Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks. PeerJ. DOI:10.7717/peerj.3860.
  • Prigent S, Frioux C, Dittami S, Thiele S, Larhlimi A, Collet G, Gutknecht F, Got J, Eveillard D, Bourdon J, Plewniak F, Tonon T, Siegel A. 2017. Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks. PLoS Comput Bio. DOI:10.1371/journal.pcbi.1005276.
  • Dittami SM, Barbeyron T, Boyen C, Cambefort J, Collet G, Delage L, Gobet A, Groisillier A, Leblanc C, Michel G, Scornet D, Siegel A, Tapia JE, Tonon T. 2014. Genome and metabolic network of “Candidatus Phaeomarinobacter ectocarpi” Ec32, a new candidate genus of Alphaproteobacteria frequently associated with brown algae. Front Genet. DOI:10.3389/fgene.2014.00241.
  • Prigent S, Collet G, Dittami SM, Delage L, Ethis de Corny F, Dameron O, Eveillard D, Thiele S, Cambefort J, Boyen C, Siegel A, Tonon T. 2014. The genome-scale metabolic network of Ectocarpus siliculosus (EctoGEM) : a resource to study brown algal physiology and beyond. Plant J. DOI:10.1111/tpj.12627.
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