Difference between revisions of "Collaborations"
(Page créée avec « ==LBGI group== Our projects, ranging from low level molecular studies to clinical applications, require close collaborations with computer scientists and theoretical bioin... ») |
|||
Line 88: | Line 88: | ||
--- | --- | ||
− | + | The use of evolutionary methods creates obvious links with the theme ''Theoretical Bioinformatics'' of the team, especially regarding the study of genetic operators intended to modify the genotype of the individuals that are being evolved. Up to now, artificial evolution has been inspired by natural evolution only in broad outlines. The collaboration with the theme ''Theoretical Bioinformatics'' gives computer scientists access to much more precise knowledge about biological genetic mechanisms, to refine the models they use, and vice versa, biologists can learn from the ''in silico'' experiments of researchers in artificial evolution. | |
− | + | The links are also very strong with the theme "Data mining and classification", because evolutionary methods also make it possible to create classifiers and extractors of knowledge (supervised or not) by genetic programming, for example (see theses of [ [Sébastien Derivaux]] and [[Jonathan Weber]]). |
Revision as of 17:03, 30 November 2016
LBGI group
Our projects, ranging from low level molecular studies to clinical applications, require close collaborations with computer scientists and theoretical bioinformaticians (including the BFO team), and close links with researchers in experimental and medical biology, notably at the IGBMC and the Strasbourg Faculty of Medicine, to develop or improve the algorithms in the context of translational medicine.
Bioinformatics software development:
- French Bioinformatics Institute (IFB)
- INSTRUCT European Consortium
- FRISBI French Consortium
- BIP:BIP (Bayesian inference paradigm: Biology in processors) Consortium
- GJ. Barton; Univeristy of Dundee, Scotland
- P. Collet, N. Lachiche, P. Gançarski; ICube, Strasbourg
- A. Dejaegere; IGBMC, Strasbourg
- MD. Devignes; LORIA, Nancy
- TJ. Gibson; EMBL, Heidelberg, Germany
- DG. Higgins; University College Dublin, Ireland
- P. Jollivet; Station Biologique de Roscoff
- B. Klaholz; IGBMC, Strasbourg
- P. Koehl; UC Davis, USA
- G. Labesse; CBS, Montpellier
- C. Marino Buslje; Uni. Buenos Aires, Argentina
- C. Mayer; Institut Pasteur, Paris
- D. Moras; IGBMC, Strasbourg
- P. Pontarotti; Marseille
- E. Pontelli; University of New Mexico, USA
- AK. Royyuru; IBM Watson, USA
- P. Schultz; IGBMC, Strasbourg
- P Sempé, X. Mary; IBM France
- A. Stoltzfus; NIST, USA
- A. Van Dorsselaer; IPHC, Strasbourg
Database development:
- P. Bork; EMBL, Heidelberg, Germany
- P. Dollé; IGBMC, Strasbourg
- W. Krezel; IGBMC, Strasbourg
- A. Pujol; Barcelona University, Spain
Ciliopathies:
- H. Dollfus; LGM, Strasbourg
- JL. Mandel ; IGBMC, Strasbourg
Myopathies/AFM Décrypthon:
- J. Laporte; IGBMC, Strasbourg
- C. Marcelle; Melbourne University, Australia
- T. Toursel; AFM, Paris
Retinal disease:
- AMD Consortium (7 worldwide teams)
- EVI-Genoret Consortium (42 European teams)
- I. Audo; Université Pierre et Marie Curie, Paris
- S. Bhattacharya; Inst. Ophthalmology, London, UK
- J. Demongeot; U. Joseph Fourier, Grenoble
- C. Grimm; Zurich, Switzerland
- T. Léveillard; Institut de la Vision, Paris
- J. Sahel; Institut de la Vision, Paris
- D. Zack; John Hopkins Hospital, Baltimore USA
- C. Zeitz; Institut de la Vision, Paris
Prostate cancer:
- J. Abecassis, IGBMC, Strasbourg
- M. Cecchini; University of Bern, Switzerland
- J. Schalken; NCMLS, Nijmegen, Netherland
- B. Wazylick; IGBMC, Strasbourg
Functional genomics data analysis:
- TF. Baumert; UdS, Strasbourg
- B. Bihain; Genclis SAS, Nancy
- A. Bloch-Zupan; IGBMC, Strasbourg
- P. Carbon; IBMC, Strasbourg
- C. da Silva; Génoscope ; Evry
- E. Friedrich; University of Luxembourg
- J. Laporte; IGBMC, Strasbourg
- V Laudet; ENS, Lyon
- A. Marchini; University of Heidelberg, Germany
- R. Romand; IGBMC, Strasbourg
- M. Roux; INIST, Nancy
- M. Sissler; IBMC, Strasbourg
- L. Tora; IGBMC, Strasbourg
- L. Vallar; CRP-Santé, Luxembourg
SONIC group
- Department of Computer Science, Memorial University of Newfoundland, St John, Canada
- Venue du Pr Wolfgang Banzhaf dans l'équipe pendant 6 mois (d'avril 2010 à septembre 2010) pour y développer la chimie artificielle sur carte GPGPU.
- Instituto de Tecnologia Quimica , Universidad Politecnica de Valencia (Espagne)
- Collaboration sur la recherche de nouvelles zéolites, avec plusieurs articles de conférence et de journaux scientifiques soumis.
- Indian Institute of Technology of Kharagpur (Inde)
- avec la venue du doctorant Arijit Biswas pendant 8 mois (d'avril 2009 à décembre 2009) dans l'équipe dans le cadre d'une bourse franco-indienne Sandwitch. Un article de journal international a été soumis.
- Laboratoire d'InfoRmatique en Image et Système d'informations, Université de Lyon
- co-tutelle de la thèse d'Olvier Kuhn (cf. ci-dessus).
- Société PROSTEP France et Allemagne
- Thèse CIFRE d'Olivier Kuhn.
- Société POLYVIONICS
- Thèse de Stéphane Querry.
- Equipe Image et Calcul Parallèle Scientifique (ICPS) du LSIIT, dirigée par Philippe Clauss
- Un papier a été accepté à EuroPar'09 (Ogier et al. 2009b).
- Projet INRIA ALEA, Centre de Recherche Bordeaux Sud Ouest et Service ORL de l'Hôpital Avicenne
- plusieurs articles de journaux et chapitres de livre publiés.
- Bristol Institute of Technology, University of the West of England
- collaboration avec l'équipe d'Andy Adamatzky, et plusieurs articles publiés.
---
The use of evolutionary methods creates obvious links with the theme Theoretical Bioinformatics of the team, especially regarding the study of genetic operators intended to modify the genotype of the individuals that are being evolved. Up to now, artificial evolution has been inspired by natural evolution only in broad outlines. The collaboration with the theme Theoretical Bioinformatics gives computer scientists access to much more precise knowledge about biological genetic mechanisms, to refine the models they use, and vice versa, biologists can learn from the in silico experiments of researchers in artificial evolution.
The links are also very strong with the theme "Data mining and classification", because evolutionary methods also make it possible to create classifiers and extractors of knowledge (supervised or not) by genetic programming, for example (see theses of [ [Sébastien Derivaux]] and Jonathan Weber).