Canadian Centre for Computational Genomics (C3G) - Montreal node
Analytical solutions for Next-Generation Sequencing data
The Montreal C3G nodes is hosted at the McGill University and Genome Quebec Innovation Center (MUGQIC). The Montreal node is strongly involved in the GenAP developpement team and had developped a robust genomic data analysis pipeline set. Since 2011, we have completed more than 400 bioinformatics analysis projects with over 290 distinct groups of researchers across Canada. Our teams have significant experience in personalized medicine applications. These have included genome analysis and interpretation of personal genomes, technology and services to record patient presentations, RNA- and ChIP-seq data analysis, and analysis of complete human epigenomes in both germline disorders and cancers. C3G co-organizes each year several international workshop about next-generation sequencing data analysis.
The Montreal C3G node has developped MUGQIC pipelines consist of Python framework scripts which create a list of jobs running Bash commands to analysis NGS data. Those scripts support dependencies between jobs and smart restart mechanism if some jobs fail during pipeline execution. Job commands and parameters can be modified through several configuration files. We actually maintain 7 different pipelines and currently develop 3 others.
The Montreal C3G node is also implicated in the developpement of his own analytical tool:
Canadian Centre for Computational Genomics (C3G) - Montreal node 2016 Projects
wlong799Improved Tools for Genetic Diversity ModellingInterpreting genomic data largely relies on simulation software. One important family of software simulates population-level diversity over the...
abstaticImproving SegAnnDB genomic segmentation appSegAnnDb (Segmentation Annotation Database) is a web app, which helps researchers analyze a chromosome profile for copy number alterations in genes....
Tushar DubeyIntegrate structural variants calls in the tumor_pair pipeline from MUGQIC PipelineThe goal of this project is to implement additional steps in the tumor_pair pipeline in order to integrate Structural Variant detection in the...