ETH - BSSE - CBG Education

Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.

Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.

In the spring semester 2012 we teach the following courses:

262-0002-00L Statistical Models in Computational Biology

The course offers an introduction to graphical models and their application to complex biological systems. Graphical models combine a statistical methodology with efficient algorithms for inference in settings of high dimension and uncertainty. The unifying graphical model framework is developed and used to examine several classical and topical computational biology methods.

636-0704-00L Computational Biology and Bioinformatics Seminar

Computational biology and bioinformatics aim at an understanding of living systems through computation. The seminar combines student presentations and current research project presentations to review the rapidly developing field from a computer science perspective. Areas: DNA sequence analysis, proteomics, optimization and bio-inspired computing, and systems modeling, simulation and analysis.

Recent Advances in Systems Biology of Infection

This introductory course to Systems Biology of Infection will focus on data and knowledge-based modeling and model-driven analysis of microbial infection processes. We will discuss recent advances in understanding the interaction of the host with bacterial and viral pathogens by integrative analysis of genome-wide and spatio-temporal data sets using computational approaches that can employ this data to generate models of host-pathogen interaction. We will further discuss how such systems-level approaches may facilitate the identification of diagnostic biomarkers and potential drug targets for novel anti-infectives and possibly allow exploring novel strategies for personalized therapy.

Master's theses

Available projects for Master's theses can be found on the Open Positions section of our website.

An overview of Master's theses previously done in our group is listed on the Master's theses page.

Courses taught in previous semesters

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