Latest News
Léonard Sauvé presents his work on the use of autoencoders for prognosis prediction from gene expression data at the 2023 edition of the RéseauxLAB.
Léa Kaufmann and Karla Félix Navarro are joining the Lemieux Laboratory to complete their PhD work in Bioinformatics and Masters in Computer Science, respectively. Welcome!
Charbel Machaalani and Eve Wang presented their work at the 5th IRIC Summer Interns’ Day. They jointly won the prize for best poster presentation for their posters: congratulations!
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!
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-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 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: 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 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).
