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  • Informatics Colloquium 11. 12. A computer scientist in epigenetic-land: some statistical . . .

    Informatics 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.

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