01
Genomics
Genome-wide analyses, sequencing data, genetic variation, and large genomic datasets.
Research computing infrastructure
High-Performance Computing for Biomedical Research
Cerebra is a shared research computing environment supporting genomics, epigenomics, neuroscience, bioinformatics, and multimodal research in the Meaney and Silveira laboratories.
It provides participating researchers with shared computing, data storage, and scientific software for biomedical research workflows.
Biology + Data + ComputationA shared environment for scientific discovery
About Cerebra
Research Computing Built for Biomedical Science
Cerebra is a research computing environment used by the Meaney and Silveira laboratories for computationally intensive biomedical research.
The platform provides the infrastructure required for large-scale analysis of genomic, epigenomic, neurobiological, and population-level datasets.
Cerebra supports workflows ranging from exploratory statistical analysis to parallel computing workloads and high-throughput genomic pipelines. The environment evolves in close collaboration with the research groups using it.
01Science-led infrastructure
02Built for complex data
03Designed for collaboration
Research areas
Computational Capacity for Complex Biological Questions
Cerebra supports research spanning molecular mechanisms, human development, population health, and integrative data science.
02
Epigenomics
DNA methylation, chromatin regulation, gene expression, and molecular signatures of environmental exposure.
03
Developmental Neuroscience
Biological processes linking early-life environments, brain development, and long-term health.
04
Bioinformatics
Large-scale biological data processing, annotation, integration, and reproducible computational pipelines.
05
Statistical Genetics
Genome-wide association studies, polygenic analyses, gene-environment interactions, and integrative genomic methods.
06
Multimodal Research
Integration of genomic, proteomic, imaging, and other biological data using shared computing and reproducible analytical methods.
Computational infrastructure
Infrastructure for Modern Research
Shared capabilities that support discovery from early exploration through large-scale analysis.
High-Performance Computing
Shared compute infrastructure for parallel and computationally intensive scientific workloads.
Large-Scale Data Analysis
Computing resources designed for genomic, imaging, epidemiological, and other large biomedical datasets.
Scientific Computing
Support for statistical computing, programming, bioinformatics pipelines, and reproducible research workflows.
Research Data Storage
Centralized storage designed to support large scientific datasets and collaborative research projects.
Collaborative Research Environment
Infrastructure supporting researchers, trainees, analysts, and multidisciplinary research teams.
Scalable Research Workflows
Computational environments that grow from exploratory analysis to production-scale research.
Collaborating laboratories
Research Groups
Cerebra supports computational research in the Meaney and Silveira laboratories.
SL01
Developmental Origins of Health and Disease
Silveira Lab
The Silveira Lab investigates how early-life environments interact with biological and genetic factors to influence development, behavior, and long-term health.
Research integrates developmental biology, genetics, genomics, epidemiology, and computational methods.
ML02
Development, Epigenetics and Environmental Regulation
Meaney Lab
The Meaney Lab studies how environmental conditions influence development through biological mechanisms including epigenetic regulation, gene expression, and neural development.
The group combines experimental, genomic, and computational approaches to understand how developmental environments shape long-term biological outcomes.
Science + computation
Where Biological Questions Meet Computational Scale
Modern biomedical research increasingly depends on the ability to integrate large and complex datasets.
Cerebra provides the computational foundation required to connect genomic information, molecular biology, developmental processes, environmental exposures, and population-level data.
Its purpose is not simply to provide computing capacity, but to enable research questions that would otherwise be difficult or impossible to address at scale.
GenomicsEpigenomicsPhenotypesEnvironmental DataNeurobiologyPopulation Data
Shared infrastructureCEREBRAHPC
ModelsNetworksDiscoveryPredictionScientific Insight
McGill University · Montreal, CanadaCerebra supports biomedical research in the Meaney and Silveira laboratories.
Contact
Cerebra HPC Cluster
Research computing infrastructure supporting collaborative biomedical science.
Montreal, Quebec, Canada