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Section: Application Domains

Life Sciences

Participants : Yasmine Assess, Emmanuel Bresso, Adrien Coulet, Marie-Dominique Devignes, Elias Egho, Anisah Ghoorah, Nicolas Jay, Bernard Maigret, Amedeo Napoli, Nicolas Pépin-Hermann, Gabin Personeni, David Ritchie, Mohsen Sayed, Malika Smaïl-Tabbone, Yannick Toussaint.

Keywords:

knowledge discovery in life sciences, bioinformatics, biology, chemistry, genomics

One major application domain which is currently investigated by the Orpailleur team is related to life sciences, with particular emphasis on biology, medicine, and chemistry. The understanding of biological systems provides complex problems for computer scientists, and, when they exist, solutions bring new research ideas for biologists and for computer scientists as well. Accordingly, the Orpailleur team includes biologists, chemists, and a physician, making Orpailleur a very original EPI at Inria.

Knowledge discovery is gaining more and more interest and importance in life sciences for mining either homogeneous databases such as protein sequences and structures, or heterogeneous databases for discovering interactions between genes and environment, or between genetic and phenotypic data, especially for public health and pharmacogenomics domains. The latter case appears to be one main challenge in knowledge discovery in biology and involves knowledge discovery from complex data depending on domain knowledge. The interactions between researchers in biology and researchers in computer science improve not only knowledge about systems in biology, chemistry, and medicine, but knowledge about computer science as well.