Graduate Program Bioinformatics
The Graduate Program Bioinformatics federates and coordinates the Master's degrees, doctoral schools and research teams at the University of Paris-Saclayin Bioinformatics, Computer Science and Mathematics for data analysis and modeling in Life Sciences, Biotechnology and Agronomy. The topics covered range from the description and prediction of the behaviour of biological systems, to structural dynamics, to multi-scale data integration (Big Data and Artificial Intelligence) and the development of original methods and algorithms for the analysis and modelling of biological data.
Keywords (alphabetical order): Algorithms; Artificial intelligence; Big Data; Biological data sciences; Bioinformatics; Biostatistics; Biotechnologies; Computational biology; Database; Genomics; Modelling; Programming; Structural biology; Systems biology
Master program
The Master's courses of the Bioinformatics Graduate Program are carried by the Master of Bioinformatics / Computational Biology. This program is focused on the high-level research and development needs of companies and research organisations in Bioinformatics and Biomathematics in Life Sciences, Biotechnologies and Agronomy.
By its interdisciplinary nature, at the interface between Informatics and Biology, the Master of Bioinformatics is attached to both the Graduate School Life Sciences & Health and the Graduate School Computer Sciences.
Two courses are offered at the M1 level:
- M1 Bioinformatics and Biostatistics (Taught mainly in French)
- M1 Genomics, Informatics & Mathematics for Health & Environment (some of whose teachings are in English)
Each of these M1 courses provides access to the two M2 courses
- M2 Computational Biology: Analysis, Modeling and Engineering of Biological and Medical Information (Taught mainly in French)
- M2 Genomics, Informatics & Mathematics for Health & Environment (Taught in English)
Doctoral Schools of the Graduate School Life Sciences & Health attached to the Graduate Program Bioinformatics
- ED «Structure and dynamics of living systems» (SDSV, ED 577)
- ED «Signalling and integrative networks in biology» (BIOSIGNE, ED 568)
- ED «Oncology, Biology, Medicine, Health» (CBMS, ED 582)
- ED «Agriculture, Food, Biology, Environment, Health» (ABIES, ED 581)
- ED «Plant sciences: from genes to ecosystems» (SEVE, ED 567)
Research Forces of the Graduate Program Bioinformatics:
- More than 35 Research Laboratories
- More than 90 Research teams or platforms
- Consortium PsayCompBio(Paris-Saclay Computational Biology), bringing together more than a hundred scientists active in the field of Computational Biology (Instituts: I2BC, Neurospin, NeuroPSI, Moulon, SPS, UNIC, IBISC, MaIAGE, IJPB, LRI, LMME, LIMSI, Gustave Roussy, Paul Brousse, LERMIT, IPS2) –Contacts: Daniel Gautheret, Marie-Laure Martin-Magniette (IPS2), Sarah Cohen-Boulakia (LRI), Vincent Frouin (CEA Neurospin)
Details of the Research Teams
Contact: Daniel Gautheret, Marie-Laure Martin-Magniette (IPS2), Sarah Cohen-Boulakia (LRI), Vincent Frouin (CEA Neurospin)
Paris-Saclay Center for Data Sciences
The Teaching-Research-Innovation strengths of this Graduate Program are particularly involved in the following interdisciplinary initiatives:
- LivingMachines@Work (Understanding the fundamental molecular mechanisms of life, innovating inHealth and Biotechnology.)
- MICROBES (Center for Interdisciplinary Microbial Sciences @Paris-Saclay)
- ISIT (Institute for Research in Health and Therapeutic Innovation)
- METAHEALTH (Multidisciplinary federation based on an integrated vision of health including humans, animals, ecosystems and societal issues)
Paris-Saclay Center for Data Sciences(http://www.datascience-paris-saclay.fr/)