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e-BioGrid
Enabling Life Science Research
 and Development


Irene Nooren
NBIC Conference 2011
The consequences of the
                    life science omics revolution

Huge & many data sets
                                        Increased complexity


  It has to be on
  one of these
                                +
  tapes




                                =




                             Overload
Dutch Computing
Infrastructure
   High-performance computing and storage resources,
             The Life Science Grid
             National supercomputer
             National compute cluster, GPU’s
             Self service High performance compute Cloud
             Hadoop
             Petabytes of disk and tape storage.

   Tailored support, training and advice
e-Science
                                                                              Computationally
                                                                            intensive science in
                                                                                networked

e-BioGrid: e-science approach                                                  environment




                                                                           Problem-Solving
   Bridge between BiG Grid and life science community                      Environments
                                                                           Software components
   Create e-science infrastructure and methods                             solving ICT obstacles

        Inventory of needs and requirements of end-users
        Bring together expertise and disciplines
        Design and develop e-science based Problem-Solving Environments
        Connect commonly used software tools to BiG Grid facilities
        Make infrastructure available to life-science researchers

   Funded by BiG Grid, led by partners NBIC, Nikhef and NCF (NWO)
e-BioGrid organization
                        The life science part of BiG Grid




                                               UvA            LU           SARA
                                            Timo Breit     Joost Kok Maurice Bouwhuis
Selected e-bioscience application areas   Irene Nooren   Erwin Bakker Machiel Jansen
1. NGS: Next-generation sequencing        Han Rauwerda
2. MAT: Microarray technology
3. MAS: Mass spectrometry
4. NSC: Nanoscopy & imaging
5. BBC: Biobanking/Cohort Studies
6. NMR: NMR Spectroscopy & modelling
Alignment with NBIC BioAssist

                                                Life Science Research
                                        Task force      Tools        TA project PSEs




                                                                                                                Analysis, design & implementation
         Short cooperative projects




                                                                                                                                                                      compute and storage systems
                                                                                                                                                                      Installation and running of the
                                         Genomics                     NGS




                                                                                         Cooperative projects

                                                                                                                of software environment
                                        Proteomics                    MAS

                                           …




                                                                                                                                                     Infrastructure
                                                                      MAT

                                                                      NCS
                                       Bio-interpret.


                                        Biobanking                    BBC




      Research                                                                            Support &                                                 Operations
       Support
                                      BioAssist Engineering Team         e-Core        Development Team                                               Team




      BioAssist                                                    e-BioGrid                                                     BiG Grid
Bioinformatics                                                      e-BioScience                                                 ICT Infrastructure
tools oriented                                                                                                                        oriented
Projects

   Main projects
      2-3 years in each of the technology areas
      1.0 FTE implementer, 0.5 FTE BiG Grid technical support
      All 6 have been assigned



   Dedicated projects
      Max. 3 months
      Projects may be proposed
Get involved
                                                      Anyone with relevant
e-BioGrid: status                                   project ideas is invited to
                                                            contact us:
                                                        info@e-biogrid.nl
   Start e-BioGrid: 1 September 2010

   5 main projects ongoing: MAT, NSC, NGS, BBC, NMR

   10 dedicated projects ongoing in several technology areas
    and generic infrastructure

   Ongoing life science computing making use of BiG Grid
    facilities
www.e-biogrid.nl
Example: MAT main project
   Goal:       Create infrastructure to design probes for multistrain
                prokaryotic samples in tiling array.
   Solution:   Microarray platform application using bioinformatics
                alignment tools
   Result:     Webbased ArrayDesigner




                                                       See Application Showcase
                                                       Linda Bakker
Example: NGS dedicated project
   Goal:       GWA study analysis is computationally intensive. Use
                computing hardware and technology more efficiently
                either by making use of GPUs or by optimizing the
                algorithms used.

   Solution:   adapting the computing algorithm by using symbolic
                algebra

   Result:     20-40 times gain in computing time
Main objectives e-BioGrid
   Create a national support basis for e-BioScience to both expert
    bioinformaticians and expert life scientists.

   Exploit BIG Grid infrastructure in the life science R&D.

   Create functional Problem Solving Environments (PSEs), e-infrastructure for
    the selected technology areas that deal with high demand in computing or
    data resources

   Connect with the NBIC-BioAssist and BiG Grid programs.
Also at this conference
                                         Poster 53. Irene Nooren
                                    Application Showcase. Linda Bakker
                                       Workshop. Evert Lammerts

e-BioGrid

Infrastructure support from the e-BioGrid team is
   available for life science research

For project proposals contact
Irene Nooren
Project manager e-BioGrid
info@e-biogrid.nl                     www.e-biogrid.nl

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e-BioGrid_NBIC Conference 2011 april 20

  • 1. e-BioGrid Enabling Life Science Research and Development Irene Nooren NBIC Conference 2011
  • 2. The consequences of the life science omics revolution Huge & many data sets Increased complexity It has to be on one of these + tapes = Overload
  • 3. Dutch Computing Infrastructure  High-performance computing and storage resources,  The Life Science Grid  National supercomputer  National compute cluster, GPU’s  Self service High performance compute Cloud  Hadoop  Petabytes of disk and tape storage.  Tailored support, training and advice
  • 4. e-Science Computationally intensive science in networked e-BioGrid: e-science approach environment Problem-Solving  Bridge between BiG Grid and life science community Environments Software components  Create e-science infrastructure and methods solving ICT obstacles  Inventory of needs and requirements of end-users  Bring together expertise and disciplines  Design and develop e-science based Problem-Solving Environments  Connect commonly used software tools to BiG Grid facilities  Make infrastructure available to life-science researchers  Funded by BiG Grid, led by partners NBIC, Nikhef and NCF (NWO)
  • 5. e-BioGrid organization The life science part of BiG Grid UvA LU SARA Timo Breit Joost Kok Maurice Bouwhuis Selected e-bioscience application areas Irene Nooren Erwin Bakker Machiel Jansen 1. NGS: Next-generation sequencing Han Rauwerda 2. MAT: Microarray technology 3. MAS: Mass spectrometry 4. NSC: Nanoscopy & imaging 5. BBC: Biobanking/Cohort Studies 6. NMR: NMR Spectroscopy & modelling
  • 6. Alignment with NBIC BioAssist Life Science Research Task force Tools TA project PSEs Analysis, design & implementation Short cooperative projects compute and storage systems Installation and running of the Genomics NGS Cooperative projects of software environment Proteomics MAS … Infrastructure MAT NCS Bio-interpret. Biobanking BBC Research Support & Operations Support BioAssist Engineering Team e-Core Development Team Team BioAssist e-BioGrid BiG Grid Bioinformatics e-BioScience ICT Infrastructure tools oriented oriented
  • 7. Projects  Main projects  2-3 years in each of the technology areas  1.0 FTE implementer, 0.5 FTE BiG Grid technical support  All 6 have been assigned  Dedicated projects  Max. 3 months  Projects may be proposed
  • 8. Get involved Anyone with relevant e-BioGrid: status project ideas is invited to contact us: info@e-biogrid.nl  Start e-BioGrid: 1 September 2010  5 main projects ongoing: MAT, NSC, NGS, BBC, NMR  10 dedicated projects ongoing in several technology areas and generic infrastructure  Ongoing life science computing making use of BiG Grid facilities
  • 10. Example: MAT main project  Goal: Create infrastructure to design probes for multistrain prokaryotic samples in tiling array.  Solution: Microarray platform application using bioinformatics alignment tools  Result: Webbased ArrayDesigner See Application Showcase Linda Bakker
  • 11. Example: NGS dedicated project  Goal: GWA study analysis is computationally intensive. Use computing hardware and technology more efficiently either by making use of GPUs or by optimizing the algorithms used.  Solution: adapting the computing algorithm by using symbolic algebra  Result: 20-40 times gain in computing time
  • 12. Main objectives e-BioGrid  Create a national support basis for e-BioScience to both expert bioinformaticians and expert life scientists.  Exploit BIG Grid infrastructure in the life science R&D.  Create functional Problem Solving Environments (PSEs), e-infrastructure for the selected technology areas that deal with high demand in computing or data resources  Connect with the NBIC-BioAssist and BiG Grid programs.
  • 13. Also at this conference Poster 53. Irene Nooren Application Showcase. Linda Bakker Workshop. Evert Lammerts e-BioGrid Infrastructure support from the e-BioGrid team is available for life science research For project proposals contact Irene Nooren Project manager e-BioGrid info@e-biogrid.nl www.e-biogrid.nl