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 2018

  • Gao B et al.
    segment_liftover : a Python tool to convert segments between genome assemblies.
    F1000 Res.
  • Carrio-Cordo P and Baudis M.
    Mountains and chasms - Surveying the oncogenomic publication landscape.
    Oncology
  • Dyke SOM et al.
    Registered access: authorizing data access.
    Eur J Hum Genet.

Members