

Information Geometry and its Applications III
Abstract Pierre-Yves Bourguignon
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Pierre-Yves Bourguignon (Max Planck Institute for Mathematics in the Sciences, Germany)
Friday, August 06, 2010, room Hörsaal 2
Modeling dependencies between positions in protein-DNA binding motifs
State-of-the-art methods for identifying and modeling the motifs mediating protein-DNA binding use Position Weight Matrices as a model for the motif, implicitely assuming the statistical independence of the nucleotides within the motif. Dropping this hypothesis is a two-fold challenge: the structure of these dependencies has to be inferred from the available data, whose limited amount also imposes a parsimony requirement on the model. After an introduction to this field of bioinformatics, the statistical underpinnings of a solution proposed jointly with Ivo Grosse (University of Halle) will be presented.
Date and Location
August 02 - 06, 2010
University of Leipzig
Augustusplatz
04103 Leipzig
Germany
Scientific Organizers
Nihat AyMax Planck Institute for Mathematics in the Sciences
Information Theory of Cognitive Systems Group
Germany
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Paolo Gibilisco
Università degli Studi di Roma "Tor Vergata"
Facoltà di Economia
Italy
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František Matúš
Academy of Sciences of the Czech Republic
Institute of Information Theory and Automation
Czech Republic
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Scientific Committee
Shun-ichi Amari
RIKEN
Brain Science Institute, Mathematical Neuroscience Laboratory
Japan
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Imre Csiszár
Hungarian Academy of Sciences
Alfréd Rényi Institute of Mathematics
Hungary
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Dénes Petz
Budapest University of Technology and Economics
Department for Mathematical Analysis
Hungary
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Giovanni Pistone
Collegio Carlo Alberto, Moncalieri
Italy
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Administrative Contact
Antje Vandenberg
Max Planck Institute for Mathematics in the Sciences
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Phone: (++49)-(0)341-9959-552
Fax: (++49)-(0)341-9959-555