Bioinformatics & Cancer Research
Our lab is affiliated to the Institute for Research in Immunology and Cancer (IRIC) at the Université de Montréal (UdeM). Our multidisciplinary team develops bioinformatics tools and analysis pipelines, and leverages machine learning and other computational approaches to analyze omics data such as transcriptomic, chemogenomic, and proteomic data. Through fundamental, translational and clinical research, we help improve cancer treatment.
Maria Virginia Ruiz Cuevas has been accepted to present a poster about her paper Most non-canonical proteins uniquely populate the proteome or immunopeptidome at the RECOMB 2021 conference (August 29 – September 1, 2021).
Bravo to Tom MacDougall who has been accepted by IUPAC | CCCE2021 to give an oral presentation about Pairwise compound comparisons using machine learning makes more accurate and explainable property predictions (August 17, 2021, 11:30 AM – 12:20 PM ET)