What we do

We are the Clinical Computational Biology group at the Molecular Tumor Profiling Lab in the Department of Pathology and Molecular Pathology of the University Hospital Zurich. We offer bioinformatics support for various molecular diagnostic assays with a focus on comprehensive genomic profiling assays, but also in-house whole exome, whole genome, and RNAseq experiments. We develop bioinformatics software solutions for molecular diagnostic labs (e.g. molecular tumor profiling database, visualization of molecular diagnostic results, supporting software for molecular tumor boards) and support pathologists and oncologists to interpret complex NGS results. Our mission is to advance molecular diagnostics using bioinformatics methods and databases for precision medicine.

Find out more about the Group’s activities

Core facility activities

We have developed MTPpilot, a software to support the interpretations and visualisation of NGS results in molecular tumor boards. With its rich annotations and interactive tools, the MTPpilot software is driving the functional assessment of cancer mutations in our hospital.

We are also working on new algorithms to utilize NGS data from targeted sequencing panels to infer prognostic biomarkers for homologous recombination deficiencies (HRD) or mutational signatures for advancing cancer diagnostics.

Furthermore, we are studying the role of alternative splicing changes in various cancer types to identify new diagnostic biomarkers.

Here are some of the key services we provide:

  • Bioinformatics and biostatistical analysis of clinical genomics data
  • Bioinformatics support for molecular tumor boards
  • Alternative splicing analysis
  • Molecular modeling of protein and protein complexes

Members

eth zurich

Abdullah Kahraman
Clinical Computation Biology
University Hospital Zurich

Domain(s) of activity:

  • Core facility and competence centre
  • Homology modelling
  • Human genetics
  • Next generation sequencing
  • Oncology
  • Personalised medicine
  • Population genetics
  • Signaling pathways
  • Transcriptomics

Domain(s) of application:

  • Medicine and health

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