Compute resources for life science research Interest Group

In this joint SURF-DTL Interest Group we bring together the expertise in building and providing a computational infrastructure for large-scale life science research data processing. We discuss requirements, use cases, infrastructure solutions and models to scale out compute resources between medical centers, research institutions, SURFsara, and even internationally. Models to scale-out include federation of compute resources and scaling out by virtualisation.

In life science research compute resources are becoming increasingly important as data volumes that need to be processed from next-generation sequencing, medical imaging and other instruments are growing steadily. Local resources are often not sufficient to provide compute resources for peak capacities. We thus need to look for solutions to scale out compute resources from local to national and international resources.

This IG is meant for (research) IT managers, ‘big data’ bioinformaticians and scientific programmers.

Everyone interested in participating in the joint SURF-DTL compute resources for life science research, please subscribe to the interest group on SURFspace.

The kick off of this Interest group took place on January 20, please find the summary here.