Bioinformatics Science is now facing a deluge of data that is changing drastically the customs of the community. Most common analyses have evolved to a larger scale, for example from the study of a single gene/protein to a whole genome or family of proteins, from a single metabolic pathway to systems Biology.

Now, Bioinformatics is requiring research infrastructures able to store very large biological data sets, complex and heterogeneous, and to make these data avalaible for intensive scientific computing. Facing to this growing needs, we should take advantage of the new developments in distributed and intensive computing with high-throughput infrastructure like supercomputers, large clusters, computing grids and clouds, and also the specific intensive-computing hardwares like GP-GPU or FPGA processors.

From the Bioinformatics point of view, the challenge is now to succeed the integration of our usual biological data and tools, to develop the next-generation tools compatible with the next Research Infrastructures, and to propose to the users - biologists and bioinformaticians - efficient interfaces and scientific gateways to these infrastructures.

To give you an insight into our developments, you can have a look at some running projects we are collaborating with:

  • RENABI GRISBI - Grid Support to Bioinformatics (www.grisbio.fr)
  • Web Services - Provide scientists and developers with programmatic access to bioinformatics Web services (gbio.ibcp.fr/ws)
  • BioXSD - BioXSD defines exchange formats of everyday bioinformatics data types. BioXSD aims to serve as the common, canonical data model for bioinformatics Web services (bioxsd.org)
  • StratusLab - The StratusLab initiative was started in November 2008 to explore the integration of cloud technologies and services, especially virtualisation, into existing Grid Infrastructures (www.stratuslab.org)

And also to projects terminated:

  • EMBRACE Network of Excellence, A European Model for Bioinformatics Research and Community Education (www.embracegrid.info)
  • HIPCAL cloud computing and Life Science applications (hipcal.lri.fr)
  • EGEE - Enabling Grids for E-sciencE (www.eu-egee.org)