Scientific Research and Development
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Lectures, Informatics Colloquia, and News
11 DecRead moreInformatics Colloquium 11. 12. 2018, 14:00 lecture hall D2 prof. Guido Sanguinetti, Ph.D., School of Informatics, University of Edinburgh A computer scientist in epigenetic-land: some statistical challenges in functional genomic data modelling Abstract: New data gathering technologies such as ChIP-seq and BS-seq are allowing scientists to probe the epigenetic regulation of gene expression at unprecedented resolution. Yet the analysis of such data brings several non-trivial computational challenges. Here, I focus on how we can exploit the spatial correlation information to develop more powerful statistical models. I will briefly describe how we developed non-parametric statistical testing techniques for ChIP and BS-seq data, and discuss how spatial information can be used to extract more informative features from such data.
"I'd like to thank our academics and students, particularly our doctoral students, for publishing work that has seen the Faculty of Informatics ranked first out of 55 institutions in the area in disciplinary comparisons published by IDEA CERGE in Oborová publikační výkonnost pracovišť výzkumných organizací v ČR v letech 2009-2013.Prof. Jiří Zlatuška
FI MU Dean