Scientific Data Management

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    Scientific Data Management - Presentation Transcript

    1. scientific information management Alberto Labarga, Feb 13th 2009
    2. LIMS: Laboratory Information Management System ELN: Electronic Laboratory Notebook SDMS: Scientific Data Management System
    3. ideal Your system should …
    4. users manage your
    5. instruments manage your
    6. store manage your biological
    7. Samples Cell lines Tissues
    8. experiments manage your
    9. requests schedule execute results collaborative analysis
    10. Workflows: protein identification Gel Liquid Spots sample Picking Digestion and Digestion and deposition concentation MALDI LC-MS 2LC-MS .wiff .wiff Data processing (MASCOT, SEQUEST)
    11. standards Support
    12. CONTENT: Minimal/Core Information -> MIBBI (http://www.mibbi.org) SEMANTIC: Terminology used, ontologies -> OBI (http://obi-ontology.org) SYNTAX: Data Model, Data Exchange ->Fuge (http://fuge.sourceforge.net/)
    13. MIBBI: Standard Content
    14. MIBBI: Standard Content
    15. OBO: Ontologies and controlled vocabulart
    16. any device Be accessible from
    17. other software be accessible from
    18. Your LIMS goes here
    19. external resources integrate
    20. submission curation ws ws ws ws ws dataflow workflow
    21. paper labboks support your
    22. infrastructure integrate with your
    23. architecture a pluggeable
    24. functional genomics platform web application document management system Service Provider Interface LDAP iggLIMS BASE GEMS
    25. protocols reports publications requests raw data
    26. visualization
    27. data analysis
    28. further, it should But going a little bit
    29. life cycle cover the full of information
    30. collaboration support
    31. co-creation
    32. ideation
    33. visualization
    34. documents mine your
    35. knowledge Help to generate new
    36. Antileukoproteinase, Secretory leukocyte protease inhibitor, P03973 uniprot: http://www.uniprot.org/uniprot/P03973 genecards: http://www.genecards.org/cgi-bin/carddisp.pl?id=P03973 dasty: http://www.ebi.ac.uk/dasty/client/ebi.php?q=P03973 >sp|P03973|SLPI_HUMAN Antileukoproteinase OS=Homo sapiens GN=SLPI MKSSGLFPFLVLLALGTLAPWAVEGSGKSFKAGVCPPKKSAQCLRYKKPECQSDWQCPGK KRCCPDTCGIKCLDPVDTPNPTRRKPGKCPVTYGQCLMLNPPNFCEMDGQCKRDLKCCMG MCGKSCVSPVKA
    37. performance evaluate your
    38. Scientific overviews (institutions, groups) Citation analysis Scientific impact and excellence assessment Measurement of the impact of funding and programs on scientific production Identification of scientific experts for conferences, workshops and peer panels organizations.
    39. data deluge! And be prepared for the
    40. Illumina / Solexa Genetic Analyzer Applied Biosystems Roche / 454 Applied Biosystems Genome Sequencer SOLiD ABI 3730XL 3000 Mb/run 100 Mb/run 1 Mb/day
    41. 3000x
    42. In 2010 available scientific information will double every 72 hours

    + Alberto LabargaAlberto Labarga, 9 months ago

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