Matthias Schlesner

German Cancer Research Center
Heidelberg University

Matthias Schlesner‘s research focuses on the integrative analysis of large-scale biomedical data and the development of computational methods for the analysis of omics data. Specific aims include to improve the understanding of mechanisms driving malignant transformation and tumour progression, and to identify tumour-specific vulnerabilities as well as resistance mechanisms. The analysis pipelines developed in his group are used for whole genome sequence data analysis at the DKFZ, in the three German projects within the International Cancer Genome Consortium (ICGC), and as core analysis pipelines in the ICGC Pan Cancer of Whole Genome Analysis (PCAWG) initiative.

Principal Investigator | Supervisor

Further information

Projects within the Big Data Project
Research interests of relevance to the project
Field of Expertise
Selected publications
Complete list of publications
Network within RTG Bio Big Data Research
Contact details

Projects within the Big Data Project

  • PhD thesis supervised within the RTG framework:
    „Integrative analysis of imaging and multi-omic data“ (working title)
    Open for more cooperations in the field

Research interests of relevance to the project

  • Integrative omics data analysis
  • Cancer genomics
  • Personalized medicine
  • Method development for computational biology

Field of Expertise

  • Computational Biology

Selected publications

  • Paramasivam N. et al. (2019) Mutational patterns and regulatory networks in epigenetic subgroups of meningioma. Acta Neuropathol, epub ahead of print
  • López C. et al. (2019) Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma. Nat Commun, 10(1):1459.
  • Gröbner S.N. et al. (2018) The landscape of genomic alterations across childhood cancers. Nature, 555(7696):321-327.
  • Gu Z. et al. (2016) Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics, 32(18):2847-9
  • Richter J. et al. (2012) Recurrent mutation of the ID3 gene in Burkitt lymphoma identified by integrated genome, exome and transcriptome sequencing. Nat Genet, 44(12):1316-20.

Network within RTG Bio Big Data Research

Principal Investigator: Benedikt Brors

Indian Principal Investigator: Shandar Ahmad (JNU)

PhD candidate: Arfa Jabin Phase 2

Contact details


Bioinformatics and Omics Data Analytics (B240)
Deutsches Krebsforschungszentrum
m Neuenheimer Feld 280
69120 Heidelberg

Phone: +49 6221 42-2720
Fax: +49 6221 42-3563

Rakhi Chaturvedi
Michael Winckler