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Databiology orchestrates biomedical analysis across with any data, any application, and on any infrastructure. Luke Smith will explain how we designed it to work with distributed data, a constantly changing landscape of bioinformatics tools, whilst ensuring scalability and auditability.

http://www.databiology.com/

Databiology is a biomedical information management and process orchestration platform for the life sciences and healthcare industries that provides flexibility, freedom and peace of mind for research and development teams. Researchers use Databiology to be able to search across many different data sources with different owners. Application Publishers use Databiology to build agile analysis pipelines easily without the need to conform to proprietary API or workflow manager constraints. System administrators use Databiology to manage access to applications, and to multiple different compute and storage infrastructure side-by-side in order to provide users with a seamless experience. Databiology enables teams to configure, command and collaborate on projects that produce or consume biomedical data.

Ticketing is required, the event will still be free but use EventBrite. because we need everyone's names for security purposes: http://www.eventbrite.com/e/managing-analysing-data-with-databiology-tickets-42229410303

NOTE: we're in Hays but in a different room to the usual. Look for Ben or his little helper when you enter Hays, and they'll direct you to the right place.

Approximate schedule:

6:30: doors open
6:45: chitchat, announcements
7:00: talk starts
7:45: talk ends, adjourn to pub

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