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.

The group develops the EPD tool.

Main publications 2018

  • Ambrosini G et al.
    PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix.
    Bioinformatics, doi: 10.1093/bioinformatics/bty127
  • Dreos R et al.
    MGA repository: a curated data resource for ChIP-seq and other genome annotated data.
    Nucleic Acids Res, doi: 10.1093/nar/gkx995
  • Fourati S et al.
    A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection.
    Nat Commun, doi: 10.1038/s41467-018-06735-8

Find out more about the Group’s activities

 

Members

epfl

Philipp Bucher
Computational Cancer Genomics Group
EPFL, Lausanne
Group Webpage

followbutton

Domains of activity:

  • Gene and Genomes
  • Benchmarking
  • Comparative genomics
  • Database curation
  • Epigenetics
  • Functional genomics
  • Gene regulation
  • Transcriptomics

Domains of application:

  • Medicine and health

Tags