Dr. Jüri Reimand
Mid-Career Investigator
Current cancer research routinely generates large-scale datasets, however understanding the data remains a great challenge. Dr. Reimand’s lab develops and applies computational and machine learning methods to analyze molecular pan-cancer datasets and interpret these in the context of biology and patient information. The major areas of research include driver and passenger mutations of the cancer genome, multi-omics data integration using biological pathways and molecular interaction networks, and discovery of innovative molecular biomarkers.
Experience & Education
- Investigator I, OICR
- Postdoctoral Fellow, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
- Marie Curie Pre-doctoral Research Fellow, EMBL, European Bioinformatics Institute
- PhD, Computer Science, University of Tartu, Estonia
- M.Sc., Computer Science, University of Tartu, Estonia
- Postdoctoral fellow, Donnelly centre, University of Toronto
- PhD, computer science, University of Tartu
Current Affiliations
- Mid-Career Investigator, OICR
- Assistant Professor, Department of Medical Biophysics, University of Toronto
Select Publications
- Marta Paczkowska, Jonathan Barenboim….Jüri Reimand… Integrative pathway enrichment analysis of multivariate omics data. Nat Commun. 2020 Feb 5;11(1):735
- Matthew A Reyna, David Haan … Jüri Reimand … Pathway and network analysis of more than 2500 whole cancer genomes. Mol Cell. 2020 Mar 19;77(6)
- Helen Zhu, Liis Uusküla-Reimand … Jüri Reimand. Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks. Mol Cell. 2020 Mar 19;77(6)
- Christian A Lee Diala Abd-Rabbo, Jüri Reimand. Functional and genetic determinants of mutation rate variability in regulatory elements of cancer genomes. Genome Biol. 2021 May 3;22(1)
- Jüri Reimand, Ruth Isserlin, … Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap. Nat Protoc. 2019 Feb;14(2)
See Dr. Reimand’s recent publications on PubMed or on Google Scholar.
Research Areas
Disease Areas
Opportunities to Collaborate
- Pathway and network analysis
- Cancer driver discovery
- Mutation analysis
Visit OICR’s Collaborative Research Resources directory for more opportunities to collaborate with OICR researchers.
Tools & Software
- g:Profiler -a web server for functional interpretation of gene lists
- ActiveDriver – a computational method for identifying ‘active’ sites in proteins
In the News
Unravelling the secrets of the non-coding cancer genome
Jun 11, 2021
New prognostic biomarkers and cancer-driving genes found in the dark matter of the cancer genome
Nov 15, 2021
Study shows that smoking ‘stops’ cancer-fighting proteins, causing cancer and making it harder to treat
Nov 03, 2023
AI helps find new leads for brain cancer drug discovery
Jan 30, 2024
Looking Ahead
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