last modified 2020-07-28
Pathway and Network Analysis of -Omics Data (July 2020)
The CBW has developed a 2.5 day course covering the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information. The workshop focuses on the principles and concepts required for analyzing and conducting pathway and network analysis on a gene list from any organism, although focus will be on human and model eukaryotic organisms.
Meet your Faculty
Principal Investigator, University of Toronto
Dr. Bader develops biological network analysis and pathway information resources. He created the Biomolecular Interation Network Database ( BIND ) while working on his PhD and currently helps lead development of the free Cytoscape network visualization and analysis software Cytoscape.
Manager of Reactome Outreach and Scientific Associate, OICR
Robin is a microbiologist with experience in bioinformatics, curation and outreach. Dr. Haw has a PhD in genetics and was a senior curator at Biomolecular Interaction Network Database (BIND) and managing curator at Science Signaling’s Signal Transduction Knowledge Environment (STKE). He has been responsible for coordinating outreach, Reactome presentations and training at workshops and conferences.
Scientist, Princess Margaret Cancer Centre Assistant Professor, Departments of Medical Biophysics and Computer Science, University of Toronto Faculty Affiliate, Vector Institute
Michael Hoffman creates predictive computational models to understand interactions between genome, epigenome, and phenotype in human cancers. He implemented the genome annotation method Segway, which simplifies interpretation of large multivariate genomic datasets, and was a linchpin of the NIH ENCODE Project analysis. He was named a CIHR New Investigator and has received several awards for his academic work, including the NIH K99/R00 Pathway to Independence Award, and the Ontario Early Researcher Award.
Research Associate, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
Veronique is currently a bioinformatician applying pathway and networks analysis to high throughput genomics data for OICR cancer stem cell program. Previously, she worked on characterizing the gene signatures of different types of leukemias using a murine model
Research data analyst, Donnelly Centre for Cellular and Bimolecular Research, University of Toronto
Bioinformatician and data analyst in the Bader lab applying pathway and data analysis to varied data types. Developed Enrichment Map App for Cytoscape, an app to visually translate functional enrichment results from popular enrichment tools like GSEA to networks. Further developed the Enrichment Map Pipeline including development of additional Apps to help summarize and analyze resulting Enrichment Maps, including PostAnalysis, WordCloud, and AutoAnnotate App.
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