Information Geometry and its Applications III

Abstract Pierre-Yves Bourguignon

Go back to

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
04103 Leipzig

Scientific Organizers

Nihat Ay
Max Planck Institute for Mathematics in the Sciences
Information Theory of Cognitive Systems Group
Contact by Email

Paolo Gibilisco
Università degli Studi di Roma "Tor Vergata"
Facoltà di Economia
Contact by Email

František Matúš
Academy of Sciences of the Czech Republic
Institute of Information Theory and Automation
Czech Republic
Contact by Email

Scientific Committee

Shun-ichi Amari
Brain Science Institute, Mathematical Neuroscience Laboratory
Contact by Email

Imre Csiszár
Hungarian Academy of Sciences
Alfréd Rényi Institute of Mathematics
Contact by Email

Dénes Petz
Budapest University of Technology and Economics
Department for Mathematical Analysis
Contact by Email

Giovanni Pistone
Collegio Carlo Alberto, Moncalieri
Contact by Email

Administrative Contact

Antje Vandenberg
Max Planck Institute for Mathematics in the Sciences
Contact by Email
Phone: (++49)-(0)341-9959-552
Fax: (++49)-(0)341-9959-555

05.04.2017, 12:42