Jüri Reimand

Overview

Current cancer research routinely generates large-scale datasets, however understanding the data remains a great challenge. The Reimand Lab develops and applies methods to interpret cancer data using pathway and network information. Pathways and networks represent knowledge from earlier research that helps to highlight aspects of data that tell us about underlying biology. With this in mind, Dr. Reimand and his team aim to explain -omics data, discover cancer driver genes and predictive biomarkers, interpret the function of genome mutations and discover master gene regulators of cellular processes.

Dr. Reimand's University of Toronto website page

Contact Information

Dr. Jüri Reimand

juri [dot] reimandatoicr [dot] on [dot] ca

Telephone: 647-260-7983

Affiliations

2015 - OICR Investigator I, Informatics and Bio-computing, Ontario Institute for Cancer Research (OICR).
2015 - Assistant Professor, Department of Medical Biophysics, University of Toronto.
2012 - 2014Department of Developmental & Stem Cell Biology, Sick Kids Research Institute.
2011 - 2015Postdoctoral Fellow, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto.
2008 - 2010Scientific Programmer, Faculty of Mathematics and Computer Science, University of Tartu, Estonia.
2007 - 2008Marie Curie Pre-doctoral Research Fellow, EMBL, European Bioinformatics Institute.
2006 - 2010Doctor of Philosophy (PhD), Computer Science, University of Tartu, Estonia.
2006 - 2007Scientific Programmer, Faculty of Mathematics and Computer Science, University of Tartu, Estonia.
2005 - 2006Master of Science (MSc), Computer Science, University of Tartu, Estonia.

Research Output

  • Reimand J, Kull M, Peterson H, Hansen J, Vilo J.
    g:Profiler--a web-based toolset for functional profiling of gene lists from large-scale experiments.
    • Nucleic Acids Res. 2007 Jul; 35(Web Server issue): W193–W200. Published online 2007 May 3. doi: 10.1093/nar/gkm226
  • Reimand J, Aun A, Vilo J, Vaquerizas JM, Sedman J, Luscombe NM.
    m:Explorer: multinomial regression models reveal positive and negative regulators of longevity in yeast quiescence.
    • Genome Biol. 2012 Jun 21;13(6):R55. doi: 10.1186/gb-2012-13-6-r55.
  • Reimand J, Bader GD.
    Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.
    • Mol Syst Biol. 2013;9:637. doi: 10.1038/msb.2012.68.
  • Reimand J, Wagih O, Bader GD.
    Evolutionary constraint and disease associations of post-translational modification sites in human genomes.
    • PLoS Genet. 2015 Jan 22;11(1):e1004919. doi: 10.1371/journal.pgen.1004919. eCollection 2015.
  • Proc Natl Acad Sci U S A. 2015 Jan 20;112(3):851-6. doi: 10.1073/pnas.1320611111. Epub 2015 Jan 5.
    Single cell-derived clonal analysis of human glioblastoma links functional and genomic heterogeneity.
    • Proc Natl Acad Sci U S A. 2015 Jan 20;112(3):851-6. doi: 10.1073/pnas.1320611111. Epub 2015 Jan 5.
  • Wagih O, Reimand J, Bader GD.
    MIMP: predicting the impact of mutations on kinase-substrate phosphorylation.
    • Nat Methods. 2015 Jun;12(6):531-3. doi: 10.1038/nmeth.3396. Epub 2015 May 4.