Functional insights into biological data through network analysis
Date: 13 - 17 May 2019
The omics era of biological research requires more systemic approaches to data analysis and a move away from the single gene/protein perspective. Network and pathway analysis tools use the information available in protein-protein interaction and pathway databases to enrich biological data and allow us to understand biological entities, not only as individual components, but also as complex, interacting systems.
This course will provide life scientists with training on biological network and pathway analysis and protein interaction bioinformatics resources. The principles of biological network and pathway analysis will be introduced and explained using relevant case studies. The course also explores the data repositories, resources and tools available to explore and analyse large datasets from a network perspective.Participants will also have the opportunity to either learn how to access public repositories via programmatic methods or spend time analysing data using the approaches covered in the course.
Contact: Johanna Langrish - [email protected]
Venue: European Bioinformatics Institute, Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
Organizer: European Bioinformatics Institute (EBI)
Host institutions: European Bioinformatics Institute
Target audience: This introductory course is aimed at bench-based biologists, who are involved in, or embarking on projects that will use network and pathway analysis or protein interaction data. For example, you may be using these tools in the interpretation of biological datasets or as part of a systems biology approach. The course requires no prior knowledge of pathway analysis or computer programming skills. Preference will be given to those actively involved in or commencing interaction/pathway-based projects.
Capacity: 30
Event types:
- Workshops and courses
Scientific topics: Molecular interactions, pathways and networks, Protein interactions, Systems biology
Activity log