Professor, Department of Human Genetics
Phone: (514) 398-8602
Fax: (514) 398-1790
740 Dr Penfield Ave, Room 6103
Montréal, Québec, Canada, H3A 1A4
Dr. Bourque joined McGill University in 2010 and is a Professor in the Department of Human Genetics and the Director of Bioinformatics at the McGill Genome Center. During his PhD, he worked on genome rearrangements in evolution with Pavel Pevzner at the University of Southern California. From 2004 to 2010, he worked at the Genome Institute of Singapore, where he was a Senior Group Leader and the Associate Director of Computational & Mathematical Biology. Dr. Bourque leads the Canadian Center for Computational Genomics (C3G), a Genome Canada bioinformatics platform, and the McGill initiative in Computational Medicine (MiCM). He is also the head of the Epigenomics Mapping Center at McGill, a project that oversees data generation and processing as part of the Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC), which is associated with the International Human Epigenome Consortium (IHEC). He is also the chair of the Integrative Analysis working group of IHEC.
Dr. Bourque is a member of the Advisory Board of CIHR’s Institute of Genetics and is on the External Consultant Panel of the US-funded Encyclopedia of DNA Elements (ENCODE) project. He is also on the Steering Committee of the Global Alliance for Genomics and Health (GA4GH) since two of his projects, CanDIG and EpiShare, have been selected as Driver Projects by the organization. Dr. Bourque is also on the Research Advisory Council of Compute Canada, the national platform for high-performance computing, and of CANARIE, responsible for Canada’s ultra-fast network backbone. In 2019, his leadership in Digital Research Infrastructure was recognized and he was named as one of the 4 Directors of the Applicant Board of the new organization that will coordinate these efforts for Canada. This new organization is funded by the Ministry of Innovation, Science and Economic Development Canada (ISED), with a budget of 375 M$ over the next 5 years, to deploy and coordinate a national infrastructure (covering high-performance computing, software and data management) that will support all areas of research.
The goal of the Bourque lab is to understand mammalian genomes using comparative genomic and epigenomic analyses. Areas of interest include: the evolution of regulatory sequences, the role of transposable elements in gene regulation and the impact of genome rearrangements in evolution and cancer. Work in the lab involves examining the billions of DNA base pairs and interpreting how variation impacts basic biology and disease. One objective is to develop computational methods and resources for the functional annotation of genomes with a special emphasis on sequencing-based assays (e.g. ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, single-cell analysis). Dr. Bourque is also in an ideal position to contribute and drive large health initiatives that have a strong genomic and bioinformatics component. His lab develops advanced tools and scalable computational infrastructure to enable large-scale applied research projects.
- Breeze, CE, Haugen, E, Reynolds, A, Teschendorff, A, van Dongen, J, Lan, Q et al.. Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations. Genome Biol. 2022;23 (1):13. doi: 10.1186/s13059-021-02560-3. PubMed PMID:34996498 PubMed Central PMC8742386.
- AlOgayil, N, Bauermeister, K, Galvez, JH, Venkatesh, VS, Zhuang, QK, Chang, ML et al.. Author Correction: Distinct roles of androgen receptor, estrogen receptor alpha, and BCL6 in the establishment of sex-biased DNA methylation in mouse liver. Sci Rep. 2021;11 (1):22975. doi: 10.1038/s41598-021-02512-8. PubMed PMID:34811454 PubMed Central PMC8608894.
- Yokobayashi, S, Yabuta, Y, Nakagawa, M, Okita, K, Hu, B, Murase, Y et al.. Inherent genomic properties underlie the epigenomic heterogeneity of human induced pluripotent stem cells. Cell Rep. 2021;37 (5):109909. doi: 10.1016/j.celrep.2021.109909. PubMed PMID:34731633 .
- Murall, CL, Fournier, E, Galvez, JH, N'Guessan, A, Reiling, SJ, Quirion, PO et al.. A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada. Genome Med. 2021;13 (1):169. doi: 10.1186/s13073-021-00986-9. PubMed PMID:34706766 PubMed Central PMC8550813.
- Kuzmin, E, Monlong, J, Martinez, C, Kuasne, H, Kleinman, CL, Ragoussis, J et al.. Inferring Copy Number from Triple-Negative Breast Cancer Patient Derived Xenograft scRNAseq Data Using scCNA. Methods Mol Biol. 2021;2381 :285-303. doi: 10.1007/978-1-0716-1740-3_16. PubMed PMID:34590283 .
- MacDonald, A, Lu, B, Caron, M, Caporicci-Dinucci, N, Hatrock, D, Petrecca, K et al.. Single Cell Transcriptomics of Ependymal Cells Across Age, Region and Species Reveals Cilia-Related and Metal Ion Regulatory Roles as Major Conserved Ependymal Cell Functions. Front Cell Neurosci. 2021;15 :703951. doi: 10.3389/fncel.2021.703951. PubMed PMID:34335193 PubMed Central PMC8319996.
- Lambrot, R, Chan, D, Shao, X, Aarabi, M, Kwan, T, Bourque, G et al.. Whole-genome sequencing of H3K4me3 and DNA methylation in human sperm reveals regions of overlap linked to fertility and development. Cell Rep. 2021;36 (3):109418. doi: 10.1016/j.celrep.2021.109418. PubMed PMID:34289352 .
- AlOgayil, N, Bauermeister, K, Galvez, JH, Venkatesh, VS, Zhuang, QK, Chang, ML et al.. Distinct roles of androgen receptor, estrogen receptor alpha, and BCL6 in the establishment of sex-biased DNA methylation in mouse liver. Sci Rep. 2021;11 (1):13766. doi: 10.1038/s41598-021-93216-6. PubMed PMID:34215813 PubMed Central PMC8253761.
- Ferreira-Neto, JRC, Borges, ANDC, da Silva, MD, Morais, DAL, Bezerra-Neto, JP, Bourque, G et al.. The Cowpea Kinome: Genomic and Transcriptomic Analysis Under Biotic and Abiotic Stresses. Front Plant Sci. 2021;12 :667013. doi: 10.3389/fpls.2021.667013. PubMed PMID:34194450 PubMed Central PMC8238008.
- Povysil, G, Butler-Laporte, G, Shang, N, Wang, C, Khan, A, Alaamery, M et al.. Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19. J Clin Invest. 2021;131 (14):. doi: 10.1172/JCI147834. PubMed PMID:34043590 PubMed Central PMC8279578.