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Guillaume Bourque

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Guillaume Bourque

Professor, Department of Human Genetics

Email: guil.bourque@mcgill.ca
Phone: (514) 398-8602
Fax: (514) 398-1790

740 Dr Penfield Ave, Room 6103
Montréal, Québec, Canada, H3A 1A4

Website

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.

Research Interests

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.

Recent Publications

  • Chen, L, Yang, R, Kwan, T, Tang, C, Watt, S, Zhang, Y et al.. Paired rRNA-depleted and polyA-selected RNA sequencing data and supporting multi-omics data from human T cells. Sci Data. 2020;7 (1):376. doi: 10.1038/s41597-020-00719-4. PubMed PMID:33168820 PubMed Central PMC7652884.
  • Bailey, MH, Meyerson, WU, Dursi, LJ, Wang, LB, Dong, G, Liang, WW et al.. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nat Commun. 2020;11 (1):4748. doi: 10.1038/s41467-020-18151-y. PubMed PMID:32958763 PubMed Central PMC7505971.
  • Li, CH, Prokopec, SD, Sun, RX, Yousif, F, Schmitz, N, PCAWG Tumour Subtypes and Clinical Translation et al.. Sex differences in oncogenic mutational processes. Nat Commun. 2020;11 (1):4330. doi: 10.1038/s41467-020-17359-2. PubMed PMID:32859912 PubMed Central PMC7455744.
  • Couturier, CP, Ayyadhury, S, Le, PU, Nadaf, J, Monlong, J, Riva, G et al.. Author Correction: Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. Nat Commun. 2020;11 (1):4041. doi: 10.1038/s41467-020-17979-8. PubMed PMID:32769982 PubMed Central PMC7415133.
  • Cheng, AP, Cheng, MP, Gu, W, Lenz, JS, Hsu, E, Schurr, E et al.. Cell-Free DNA in Blood Reveals Significant Cell, Tissue and Organ Specific injury and Predicts COVID-19 Severity. medRxiv. 2020; :. doi: 10.1101/2020.07.27.20163188. PubMed PMID:32766608 PubMed Central PMC7402071.
  • Couturier, CP, Ayyadhury, S, Le, PU, Nadaf, J, Monlong, J, Riva, G et al.. Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. Nat Commun. 2020;11 (1):3406. doi: 10.1038/s41467-020-17186-5. PubMed PMID:32641768 PubMed Central PMC7343844.
  • Zhuang, QK, Galvez, JH, Xiao, Q, AlOgayil, N, Hyacinthe, J, Taketo, T et al.. Sex Chromosomes and Sex Phenotype Contribute to Biased DNA Methylation in Mouse Liver. Cells. 2020;9 (6):. doi: 10.3390/cells9061436. PubMed PMID:32527045 PubMed Central PMC7349295.
  • Groza, C, Kwan, T, Soranzo, N, Pastinen, T, Bourque, G. Personalized and graph genomes reveal missing signal in epigenomic data. Genome Biol. 2020;21 (1):124. doi: 10.1186/s13059-020-02038-8. PubMed PMID:32450900 PubMed Central PMC7249353.
  • Caron, M, St-Onge, P, Sontag, T, Wang, YC, Richer, C, Ragoussis, I et al.. Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity. Sci Rep. 2020;10 (1):8079. doi: 10.1038/s41598-020-64929-x. PubMed PMID:32415257 PubMed Central PMC7228968.
  • Bogdan, L, Barreiro, L, Bourque, G. Transposable elements have contributed human regulatory regions that are activated upon bacterial infection. Philos Trans R Soc Lond B Biol Sci. 2020;375 (1795):20190332. doi: 10.1098/rstb.2019.0332. PubMed PMID:32075553 PubMed Central PMC7061985.
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