Welcome to the website of the Children's Hospital Research Institute of Manitoba (CHRIM) Bioinformatics Core Laboratory. We provide effective computational expertise and resources for the design and analyses of high-throughput empirical mulit-omics assays and for comparisons and integration of data from Health Sciences Center with those derived from external knowledge bases
Bioinformatics is an inherently collaborative field between experimentalists and theoreticians
The Bioinformatics Core Laboratory at the Children’s Hospital Research Institute of Manitoba (CHRIM) is engaged in the analysis of large-scale multi-omics data.
The facility provides computational expertise and resources for the design and analysis of high throughput bio-analytically measured data and for comparisons and integration with metadata available from CHRIM knowledge bases. We employ both standard and novel methods for the analysis of these data in order to extract the maximum biological information from them. Our expertise covers the entire gamut of –omics data analysis including:
Genomics - via DNA-seq, aCGH, WGS, WES
Epigenomics - via ChIP-seq, DNA methylation
Transcriptomics - via microarrays, RNA sequencing of bulk sample or single cells
Proteomics - via mass spectrometry
Targeted and untargeted metabolomics - via magnetic resonance and/or mass spectrometry
The Laboratory provides state-of-the-art, secure, regulatory-compliant and customized solutions to address clinical and research needs at CHRIM and her stakeholders in the health sciences research cluster.
CHRIM BCL has 3 main pillars:
Fee-for-service analysis of empirical –omics data
Development and provision of training modules to researchers, clinicians and other trainees
Development of novel and improvement of current methods for the analysis and integration of –omics data.
The fee-for-service module involves discussions with PI’s regarding their data analysis needs after an intake form has been received and reviewed (please refer to the intake form here)
Where possible, bioinformatics services will be sought at the inception of the project to enable detailed discussions regarding the design of experiments in view of the biological question and their context.
Under this arrangement, the bioinformatics facility will be responsible for processing all the raw data as well as all the downstream analyses including producing reports.
Our research aims to fill technological gaps in the -omics field that limit access to existing correlations and interplay between multiple levels of a biological system’s descriptors.
Specific objectives of our research are:
Determination of the landscape of genomic instabilities that result in the selective enhancement of important biological phenotypes that characterize environmental perturbation, disease or drug response
Development of comprehensive and integrative time-resolved networks describing the interplay between all the downstream products of gene expression (transcriptomics), translation and post-translational modification (proteomics) and metabolic signals (metabolomics)
Comprehensive characterization of the quality of bio-analytical measurement technologies employed in systems biochemistry
Application of classical, and development of novel bioinformatics tools for the analysis of large scale - omics data for biomarker discovery and validation.
We offer continuing training for students and researchers to analyze their data using various bioinformatics tools.
We also accept students to train within the facility to develop novel tools for the analysis of - omics data
Linux for the absolute novice (November 2019)
Linux for Bioinformatics (Winter 2020)
Bioconductor workflows for Transcriptomics (Spring 2020)
This site is still under development. If you would like to see something added here please let us know via the contact address.