I³MS - Costa Seminar
Dr. Ivan G. Costa - Unravelling Differentiation Processes with Statistical Analysis of Genome Wide Data
Computational Biology Group, Helmholtz Institute for Biomedical Engineering, Centre of Medical Technology (MTZ), Aachen
Cell differentiation processes are controlled by a circuit of transcription factors and chromatin modifications that determine cell fate by activating cell type specific expression programs. The identification of cis-acting elements that dictate expression of genes is crucial for the understanding such the regulatory networks. Advances in sequencing technologies allow the measurement of cis-acting elements of parts of such regulatory circuitries on a genome-wide scale. However, the integrative analysis of such large,unstructured and noise prone data poses great challenges in computational biology methods. I will described in this talk two computational approaches related to these problems; (1) the use of multivariate hidden Markov models for the integrative analysis of his tone modification and DNA sequence of transcription factor binding sites and (2) the use of mixture of sparse regression models for the detection of transcription factor and histones regulatory networks in blood cell development.