Modeling dependencies between positions in protein-DNA binding motifs

  • Pierre-Yves Bourguignon (Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany)
University n.n. Universität Leipzig (Leipzig)


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.

02.08.10 06.08.10

Information Geometry and its Applications III

Universität Leipzig (Leipzig) University n.n. University n.n.

Antje Vandenberg

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail

Nihat Ay

Max Planck Institute for Mathematics in the Sciences, Germany

Paolo Gibilisco

Università degli Studi di Roma "Tor Vergata", Italy

František Matúš

Academy of Sciences of the Czech Republic, Czech Republic