BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such representations, the cell is considered as a system composed of interlocked subsystems. The need is now to define a relevant formalization of the systemic description of cellular processes.

Authors

  • Vincent Henry
    Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
  • Fatiha Saïs
    LRI, UMR 8623, CNRS, Université Paris-Sud, Université Paris Saclay, Orsay, France.
  • Olivier Inizan
    Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
  • Elodie Marchadier
    Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, Gif-sur-Yvette, 91190, France.
  • Juliette Dibie
    UMR MIA-Paris, AgroParisTech, INRAE, Université Paris Saclay, Paris, France.
  • Anne Goelzer
    INRA, UR1404, MaIAGE, Université Paris-Saclay, Jouy-en-Josas, France. Anne.Goelzer@inra.fr.
  • Vincent Fromion
    INRA, UR1404, MaIAGE, Université Paris-Saclay, Jouy-en-Josas, France.