SPECIAL INTEREST GROUP

Compute Resources for Life Science Research

In this joint SURF-DTL SIG we bring together the expertise in building and providing a computational infrastructure for large-scale life science research data processing. 

In this joint SURF-DTL Special 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 internationally if needed. Models to scale-out, e.g. temporary expand your capacity to remote locations, include federation of compute resources and virtualisation.

Why?

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 want to look for solutions to scale out compute resources from local to national and international resources.

WHAT?

This SIG will organize regular meetings for discussions, and sharing of expertise in building and using compute infrastructures for life science research. It relates to the NFU Data4Lifescience program, workpage 7 'harmonisation of HPC facilities'. The SURFspace digital platform facilitates this SIG by providing access to documentation, the agenda, SIG members and discussions. You can also start a discussion on the forum.

Who?

The initiative for this Special Interest Group was born in collaboration with the Dutch Techcentre for Life Sciences (DTL). The core team consists of

  • Mark Santcroos, LUMC (chair)
  • Irene Nooren, SURFsara (SURF contactperson)
  • Jeroen Laros, LUMC
  • Pieter Neerincx, UMCG
  • Silvia Delgado Olabarriaga (AMC)
  • Christiaan Geertsma (VUmc)
  • Rob Hooft (DTL)

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

If you are interested to join this SIG, register to SURFspace by using SURFconext, Linkedin or otherwise by clicking on the green button 'volgen'. You can then contribute with publications, reactions and discussions. You will automatically be informed on new contributions to this SIG.

 

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