Faculty profile
Sébastien Lemieux
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Research
Latest papers
Harnessing virtual machines to simplify next-generation DNA sequencing analysis.
Bioinformatics (Oxford, England) · 2013
Genome-wide fitness test and mechanism-of-action studies of inhibitory compounds in Candida albicans.
PLoS pathogens · 2007
Essential gene identification and drug target prioritization in Aspergillus fumigatus.
PLoS pathogens · 2007
Latest funding
- $125,000
Exploiting Electrolytic Gating in Graphene Field-Effect Nanosensors to Achieve Multiplexed Breast Cancer Profiling for Personalized Medicine
SSHRC · 2024 · Co-investigator
- $102,000
Development of reference-free algorithms for low coverage RNA-Seq characterization of cell states
NSERC · 2022 · Principal investigator
- $250,000
Recruitment of SUMO E3 ligases as a new paradigm for transcription factor inactivation
SSHRC · 2020 · Co-investigator
3 publications.
Harnessing virtual machines to simplify next-generation DNA sequencing analysis.
Nocq J, Celton M, Gendron P, Lemieux S, Wilhelm BT
Genome-wide fitness test and mechanism-of-action studies of inhibitory compounds in Candida albicans.
Xu D, Jiang B, Ketela T, Lemieux S, Veillette K, Martel N, Davison J, Sillaots S, Trosok S, Bachewich C, Bussey H, Youngman P, Roemer T
Essential gene identification and drug target prioritization in Aspergillus fumigatus.
Hu W, Sillaots S, Lemieux S, Davison J, Kauffman S, Breton A, Linteau A, Xin C, Bowman J, Becker J, Jiang B, Roemer T
Exploiting Electrolytic Gating in Graphene Field-Effect Nanosensors to Achieve Multiplexed Breast Cancer Profiling for Personalized Medicine
Principal investigators: Bouilly, Delphine
Development of reference-free algorithms for low coverage RNA-Seq characterization of cell states
Principal investigators: Lemieux, Sébastien
Keywords: bioinformatics; computational biology; machine learning; transcriptomics; rna-seq; k-mers; deep neural network
Recruitment of SUMO E3 ligases as a new paradigm for transcription factor inactivation
Principal investigators: Mader, Sylvie
Keywords: transcription factors Sumoylation hybrid drugs chromatin in silico screens
Deep learning-based study of the endogenous retroviral-derived immunopeptidome in ovarian cancer.
Principal investigators: Trofimov, Assya
Keywords: Genomics, Proteomics, And Bioinformatics; Molecular Biology; Ovarian Cancer
Mechanisms controlling estrogen receptor alpha expression and activity in breast tumorigenesis
Principal investigators: Mader, Sylvie N
Keywords: Breast Cancer; Cell Models; Chip-Seq; Crispr-Cas9; Estrogen Receptor Alpha; Functional Genomics; High Throughput Screens; Shrnas; Transcriptomes; Xenografts
Clinical application of a novel molecule that expands human cord blood stem cells
Principal investigators: Roy, Jean; Cohen, Sandra; Sauvageau, Guy
Keywords: Cord Blood Transplantation; Fed Batch Culture System; Hematopoietic Stem Cell Expansion; Novel Agonist Of Stem Cell Renewal; Phase I Clinical Study
Gene interdependence in microarray data analysis
Principal investigators: Lemieux, Sebastien
Automated analysis of DNA microarray images
Principal investigators: Lemieux, Sebastien
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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