What we do

The Computational Oncogenomics Group works on the computational analysis of structural genome variations in cancer, centred around our arrayMap and Progenetix resources of curated molecular-cytogenetic and sequencing data.
Specific projects explore computational methods, genomics of selected tumour entities and genomic variation patterns across malignancies and populations.
As members of the Global Alliance for Genomics and Health, the group is developing standards in biocuration and data sharing for genomic variants and phenotypic data. Other projects are related to genome data epistemology, e.g. geographic and diagnostic sampling bias.

Find out more about the Group’s activities

Main publication 2021

  • Huang Q et al.
    The Progenetix oncogenomic resource in 2021
    Database Oxford, 10.1101/2021.02.15.428237
  • Rehm HL et al.
    GA4GH: International policies and standards for data sharing across genomic research and healthcare
    Cell Genomics, 10.1016/j.xgen.2021.100029
  • Wagner AH et al.
    The GA4GH Variation Representation Specification (VRS): a Computational Framework for the Precise Representation and Federated Identification of Molecular Variation
    Cell Genomics, 10.1016/j.xgen.2021.100027


University zurich

Michael Baudis
Computational Oncogenomics Group
University of Zurich
Group Webpage

Twitter button

Domain(s) of activity:

  • Genes and genomes
  • Core facility and competence centre
  • APIs
  • Database curation
  • Data management
  • DNA Microarrays
  • Machine learning
  • Ontology
  • Oncology
  • Personalised medicine
  • Text mining

Domain(s) of application:

  • Basic research
  • Medicine and health