What we do

In the Computational Cancer Genomics Group, we are interested in gene regulation in both healthy and diseased cells. Breakthroughs in genomics technologies have led to the production of large volumes of data that could potentially tell us something about how gene regulatory instructions are encoded in our DNA. Our group develops new algorithms, computer programs, web services and databases that will help us and others to extract knowledge and understanding from such data. We also collaborate with experimental biologists on interdisciplinary projects and organize postgraduate courses in genomic data analysis.

Main publications 2017

  • Isakova A et al. SMiLE-seq identifies binding motifs of single and dimeric transcription factors. Nat Methods. 2017; 14(3):316-322.
  • Dreos R et al. The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms. Nucleic Acids Res. 2017; 45(D1):D51-D55.
  • Kumar S et al. SNP2TFBS - a database of regulatory SNPs affecting predicted transcription factor binding site affinity. Nucleic Acids Res. 2017; 45(D1):D139-D144.

Find out more about the Group’s activities




Philipp Bucher
Computational Cancer Genomics Group
EPFL, Lausanne
Group Webpage


Domains of activity:

  • Gene and Genomes
  • Comparative genomics
  • Epigenetics
  • Machine learning
  • Software engineering
  • Structural biology

Domains of application:

  • Medicine and health
  • Basic research