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.

What’s new

BamQuery a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens
BamQuery a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens

Maria Virginia Ruiz Cuevas’s article, “BamQuery: a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens”, has been published in BMC Genome Biology and is now publicly available online. Congratulations, Maria!

Successful thesis defense for Maria Virginia Ruiz Cuevas
Successful thesis defense for Maria Virginia Ruiz Cuevas

Congratulations to Dr. Maria Virginia Ruiz Cuevas for a successful thesis defense! Her thesis, titled “Improving anti-cancer therapies through a better Identification and characterization of non-canonical MHC-I associated peptides”, will be available shortly on the UdeM’s Papyrus system.

Jeremie Zumer's abstract on the peptide search engine Pepid accepted for poster presentation at MLCB 2022
Jeremie Zumer's abstract on the peptide search engine Pepid accepted for poster presentation at MLCB 2022

Jeremie Zumer’s abstract: Pepid: a Highly Modifiable, ML-Friendly Peptide-Centric Search Engine, introducing the Lemieux Lab’s Pepid search engine, has been accepted for a poster presentation at the Machine Learning and Computational Biology conference (MLCB 2022). The poster can be downloaded by following this link (1.3MB).