PPT-Reactome
Author : luanne-stotts | Published Date : 2017-06-03
pathway knowledgebase Connecting pathways networks and disease Robin Haw PhD Project Manager and Outreach Coordinator Ontario Institute for Cancer Research robinhawoicronca
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Reactome: Transcript
pathway knowledgebase Connecting pathways networks and disease Robin Haw PhD Project Manager and Outreach Coordinator Ontario Institute for Cancer Research robinhawoicronca San Diego March 15 2016. IntAct. protein complexes. Sandra Orchard. PRO Meeting. , June 19, 2014. Project aims. Reference resource for macromolecular complexes. Create species-specific stable complex identifiers. Central reference resource to link all related efforts (. Reactome.db. Package. Utah State University – Spring . 2012. STAT . 6570. : Statistical Bioinformatics. Cody Tramp. References. Ligtenberg. . W. 2011. . Reactome.db. : How to use the . reactome.db. Birgit . Meldal. (IntAct). Overview. Aims & Definitions. Data Sources. Issues and Challenges:. Nomenclature. Sets. ‘Transient’ complexes. GO. Confidence scores. Inference. Visualisation. Search Parameters and Filters. Reactome.db. Package. Utah State University – Spring . 2012. STAT . 6570. : Statistical Bioinformatics. Cody Tramp. References. Ligtenberg. . W. 2011. . Reactome.db. : How to use the . reactome.db. Can . We Predict or Induce It? Are Any . Approaches . Ready for Prime Time. ?. A Sánchez-Fueyo. Institute of Liver . Studies, MRC . Transplant Centre,. King’s College . London, UK. Liver Biopsy. Liver Biopsy. www.bioinformatics.ca. 2. Module #: Title of Module. Module . 15. More Depth on Pathway and Network Analysis. Robin Haw. High-Throughput Biology: From Sequence to Networks. March 20-26, 2017. Learning Objectives of Module. Example: PSICQUIC and the PSICQUIC game. Introduction to ontologies.. Exploring the Gene . Ontology. -Coffee break-. Introduction to protein-protein interactions (PPIs). IntAct. : the molecular interactions database at the EBI. Steve Jupe. Motivation for Pathway and Network Analysis in Cancer. “. Exclusivity principle. ”. in cancer.. once a gene is mutated in a pathway, the selective growth advantage incurred by a second mutated gene in the same pathway is minimal..
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