Modelling Biomedical Data with TypeDB to Accelerate Drug Discovery
R&D in bioinformatics has traditionally relied on legacy database management systems that were built to manage tables of data that fit nice and neat into rows and columns.
Current databases struggle to manage multi-omic research, vast networks of biomedical data that includes genes, proteins, tissues, etc. When modelling and querying this data with such systems, it's difficult to discover new and relevant insights that guide targeted research.
TypeDB is a database that enables bioinformaticians to integrate and easily query heterogeneous biomedical data sets to find new gene targets that can accelerate drug discovery pipelines. In this webinar, you will hear why today's leading bioinformaticians are leveraging TypeDB's expressive power to find new and unexplored drug targets.
Takeaways:
- Overview of TypeDB & TypeQL
- How TypeDB's type system delivers expressivity, safety, and inference for developers to easily build complex systems
- Reference architectures for your first TypeDB project
- Example use cases and code for drug discovery, precision medicine, and competitive intelligence
Speaker:
Mason Powers
Mason Powers is the Head of Commercial for Vaticle. Before joining Vaticle, Mason spent the past 11+ years helping organisations adopt disruptive database technologies that deliver value through innovation. He has worked with Fortune 500 developers, architects and their executives to evaluate, prove, and successfully deploy new technologies from concept creation to production applications. His current focus is on helping organisations to commercially adopt and deploy TypeDB, primarily in Life Sciences, Financial Services, Oil & Gas, Robotics, and Supply Chain Management.