Latest News

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

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.

Marc-André Legault appointed IVADO professor

Marc-Andrée Legault, a former member of Lemieux Lab, will join the Faculty of Pharmacy (UdeM) and at the Azrieli Research Center of CHU Sainte-Justine as an IVADO professor, starting August 2024.

Caroline Labelle présente ses travaux de recherche lors du premier Symposium MAD4CANCER

Caroline Labelle faisait partie de la délégation de neuf personnes travaillant ou étudiant à l’IRIC qui ont participé au symposium, à Montpellier (France). Elle a eu l’opportunité de faire un oral portant sur Enhancing the drug discovery process: Selecting relevant and potent compounds with Bayesian inference.

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).

Leonard Sauve's poster presented at ReseauxLAB 2022

Leonard Sauve presents his visualization method for transcriptomic data in accute myeloid leukemias (AML) using the Factorized Embedding model at ReseauxLAB 2022. The Factorized Embedding model was first developed by Assya Trofimov during her doctoral studies in the Lemieux lab. The poster can be viewed or downloaded by following this link (2.08MB).

Bayesian Inference as a Robust Alternative to Non-Linear Regression for Dose-Response Parameters Assessment at ISMB 2022

Caroline Labelle’s presentation: Bayesian Inference as a Robust Alternative to Non-Linear Regression for Dose-Response Parameters Assessment, has been accepted at the 2022 edition of the International Conference on Intelligent Systems for Molecular Biology (ISMB). The poster abstract can be found online.