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| We study the organization and evolution of biological systems using computational biology and bioinformatics techniques. We seek to accurately predict links, such as specific molecular interactions, in eukaryotic cell signaling systems using comprehensive genomics data like genome sequence and transcript profiles. We are interested to find how these links are rewired by mutations to cause disease. This work is supported through the development of open-source biological pathway and network databases and visualization and analysis software. * Predicting biologically relevant protein interactions and cellular network evolution * Detection of cell type and stage active biological processes using molecular profiles * Multiple perturbation analysis to map cellular systems * Biological pathway and network databases and analysis tools |
We are a computational biology lab focusing on systems biology at the cell and tissue levels. We have made many contributions to network and pathway analysis and interpretation of genomics data to support biological discovery and precision medicine applications. More recently we are developing computational methods and an ecosystem theory of tissue function that considers cell-cell interactions, cell growth, and cell internal mechanisms, such as pathways, reactions, and causal relationships, to help understand development, cancer and regenerative wound healing processes. This work is supported through the development of open-source biological pathway and network databases and visualization and analysis software, like [[https://cytoscape.org/|Cytoscape]], [[http://www.pathwaycommons.org/|Pathway Commons]] and [[http://genemania.org/|GeneMANIA]], which we collaboratively develop with others. |
Biological Systems Lab, Prof. Gary Bader
We are a computational biology lab focusing on systems biology at the cell and tissue levels. We have made many contributions to network and pathway analysis and interpretation of genomics data to support biological discovery and precision medicine applications. More recently we are developing computational methods and an ecosystem theory of tissue function that considers cell-cell interactions, cell growth, and cell internal mechanisms, such as pathways, reactions, and causal relationships, to help understand development, cancer and regenerative wound healing processes. This work is supported through the development of open-source biological pathway and network databases and visualization and analysis software, like Cytoscape, Pathway Commons and GeneMANIA, which we collaboratively develop with others.
More about our research or view our research interests as art.
Non-expert explanation
Watch the Inner Life of the Cell movie from Harvard (45MB)
Affiliations:
The Donnelly Centre
Department of Molecular Genetics
Department of Computer Science
The Lunenfeld-Tanenbaum Research Institute at Sinai Health System
Princess Margaret Cancer Centre at University Health Network
Collaborative Graduate Program in Genome Biology and Bioinformatics
all associated with the University of Toronto
The MacMillan Multiscale Human Program, Canadian Institute for Advanced Research
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