Provides bioinformatics analysis, software development and high-performance computing (HPC) services for the life science research community.
The Canadian Centre for Computational Genomics (C3G) offers a wide range of standardized and tailored analysis services to researchers. It leads and supports multiple large projects ranging from development to deployment.
C3G has extensive experience analyzing and organizing data from a wide range of biological assays, leveraging state-of-the-art computation methods. The Centre offers a wide range of standardized and tailored analysis services to researchers, who in turn benefit from the team’s extensive experience analyzing data from various sequencing applications. The C3G can help in the following areas:
- Personal or public data analysis by expert bioinformaticians
- Experiment planification with a sequencing provider
- Collaborative grant application support
- Training as a Service
- Custom data analysis pipeline development
- Data organization and distribution
● RNA sequencing (RNA-Seq)
● Single-cell RNA sequencing (scRNA-Seq)
● Microbiome and metagenomics
● Genome assembly and annotation
● Whole genome sequencing (WGS) and whole exome sequencing (Exome-Seq/WES)
● Cancer genomics
● De novo transcriptome assembly
● Chromatin Immunoprecipitation Sequencing / Transposase-Accessible Chromatin High-Throughput Sequencing (ChIP-Seq / ATAC-seq)
● Methylation Sequencing (Methyl-seq)
● Hi-C for detection of genome-wide chromatin interactions
● Structural bioinformatics
● Data portals
● Custom pipelines development
- Agriculture, animal science and food
- Environmental technologies and related services
- Fisheries and aquaculture
- Forestry and forest-based industries
- Ocean industries
Specialized labs and equipment
| Specialized lab | Equipment | Function |
|---|---|---|
| Data analysis and management | Server | The C3G platform mainly relies on strong physical and logistical links to the Digital Research Alliance of Canada with an allocated 1080 core-years of compute and 4.7 PB of project storage on high-performance computing clusters. The C3G platform also has privileged access to the McGill Genome Centre local cluster ABACUS (1,712 Intel cores). |
| Software | GenPipes | A flexible Python-based framework that facilitates the development and deployment of multi-step genomic workflows, optimized for High-Performance Computing (HPC) clusters and the cloud. It offers 14 open source, validated and scalable pipelines for various genomics applications. |
Private and public sector research partners
- Agriculture and Agri-Food Canada
- National Center in Electrochemistry and Environmental Technologies (CNETE)
- CHUM Research Centre
- Centre de Recherche du CHU Sainte-Justine
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM)
- Concordia University
- Concordia University of Edmonton
- Dalhousie University
- F. Hoffmann-La Roche AG (Roche)
- Fisheries and Oceans Canada
- IDIBELL (Bellvitge Biomedical Research Institute)
- Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST)
- Institut national de la recherche scientifique (INRS)
- Institute of Psychiatry and Neuroscience of Paris
- Lady Davis Institute (LDI)/Jewish General Hospital (JGH)
- MicroSintesis
- Terry Fox Research Institute
- Mount Allison University
- Parks Canada
- Queen’s University
- Research Institute of the McGill University Health Centre (MUHC)
- Saint Mary’s University
- Shriners Hospital for Children - Canada
- Institut national de la santé et de la recherche médicale (Inserm)
- Université Laval
- Université de Montréal
- Université du Québec à Trois-Rivières
- University of Calgary
- University of Manitoba
- University of North Dakota
- University of Ottawa
- University of Prince Edward Island
- Université du Québec à Rimouski
- University of Toronto
- ZeaKal, Inc.
- 35 Pharma Inc.
- Abnatura Inc.
Additional information
| Title | URL |
|---|---|
| Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University. | https://genomic.medicine.mcgill.ca/ |
| GenPipes. | https://genpipes.readthedocs.io/en/latest/ |
| Pipelines reference guide. | https://genpipes.readthedocs.io/en/latest/user_guide/pipeline_ref.html#docs-pipeline-ref |
| GenPipes real-life applications. | https://genpipes.readthedocs.io/en/latest/get-started/gp_usecases.html#docs-gp-usecases |