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Exploring target-disease associations with the Open Targets Platform’s new interface
The Open Targets Platform —https://platform.opentargets.org/— is a comprehensive research tool that supports systematic identification and prioritisation of potential therapeutic drug targets. By integrating publicly available datasets along with data generated by the Open Targets consortium, the Platform builds and scores target-disease associations. Users can also explore relevant annotation information about targets, diseases, phenotypes, and drugs, as well as their most relevant relationships.
This webinar will provide an introduction to the capabilities and use cases for the Open Targets Platform, and demonstrate two newly introduced features. The new associations view enables users to dynamically modify the relative importance of the different data sources ‘on the fly’, and the Target Prioritisation view provides an assessment of target-specific properties of interest when evaluating the suitability of a target for a drug discovery programme.
There are major steps in our ongoing effort both to refresh the look and feel of the Platform and to enhance the Platform’s capabilities to help build therapeutic hypotheses.
Who is this course for?
This webinar is suitable for lab-based and computational research scientists, graduate students, and post-doctoral research fellows working in early stage drug discovery.
Please share your feedback about the recorded webinar herevia this link.
Outcomes
By the end of the webinar you will be able to:
- Define the Open Targets Platform data model and identify use cases for the Platform
- Identify the types of target-disease association and annotation data integrated into the Open Targets Platform
- Recognise how the new association-on-the-fly and target prioritisation views can be used to facilitate target discovery
Resource details
Contributed by: | Pathology Portal |
Authored by: |
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Licence: | Creative commons: Attribution-NonCommercial 4.0 International More information on licences |
First contributed: | 30 May 2024 |
Audience access level: | General user |
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