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When it comes to the herculean task of making the entirety of genetic knowledge accessible for clinical care and drug discovery, indexing and making the evidence easily searchable isn’t enough. Mastermind transcends simply indexing the evidence by identifying Genomic Associations contained within the literature to make this work easier, faster, and more complete.
Mastermind leverages Genomic Language Processing (GLP) to annotate and organize genetic data into Genomic Associations that draw informative connections between Genes, Variants, Diseases, Phenotypes, Therapies, and Categories.
Mastermind leverages Genomic Language Processing (GLP) to annotate and organize genetic data into Genomic Associations that draw informative connections between Genes, Variants, Diseases, Phenotypes, Therapies, and Categories.
In this Masterclass, co-founders Mark Kiel and Steve Schwartz will describe how to harness the power of this comprehensive evidence-based data for use in clinical workflows to answer specific questions about genes and variants, as well as in drug discovery to answer more open-ended questions and uncover associations that were not previously known to the searcher.
You will learn:
- What a Genomic Association is and how it can be used to inform clinical care and drug discovery
- How to query the Mastermind Genomic Search Engine to answer specific questions (how genetic variants are associated with disease, what specific therapies can be used to treat patients, etc.)
- How to query the Mastermind API with open-ended questions to discover novel genomic associations (identify all therapies associated with specific gene defects, all phenotypes associated with specific diseases, which variants are most likely associated with a specific clinical presentation, etc.
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