Open Targets: Integrating genetics and genomics for disease biology and translational medicine
Date: 12 June 2018 @ 12:00 - 15:00
Open Targets is a public-private partnership to use human genetics, genomic data and drug information for systematic identification and prioritisation of therapeutic targets. The consortium was founded in 2014 by GSK, EMBL-EBI and the Wellcome Sanger Institute, and later welcomed three new partners, Biogen, Takeda, and Celgene. Underpinning this partnership is the Open Targets Platform, an open source, user-friendly web interface to investigate causal links between genes, pathways and diseases. These links are computed, scored and ranked using biological evidence integrated from many public data sources, including the NHGRI-EBI GWAS Catalog, Genomics England, PheWAS, ClinVar, Expression Atlas, UniProt, and ChEMBL to name a few.
In addition to data integration, Open Targets also generates new data using human cellular models (e.g. organoids, iPSCs) and genome editing (CRISPR/Cas9) to identify drug targets in oncology, immunology and neurodegenerative diseases. This will be publicly available in the public domain and integrated into the Open Targets Platform.
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Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: This course is suitable for all users who have an interest in biomedical research and therapeutics. A special emphasis will be given on drug discovery and target validation. It will also be useful to those who seek for practical examples on how large-scale genomic experiments and computational techniques are integrated and visualised in a web platform., Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Data visualisation, Genotype and phenotype, Pharmacogenomics
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