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Intro at BioHackathon2010
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Intro at BioHackathon2010

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My intro slides at BioHackathon2010

My intro slides at BioHackathon2010

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Intro at BioHackathon2010 Presentation Transcript

  • 1. Hammad Afzal
    • AFFILIATION
    • School of Computer Science,
    • University of Manchester, United Kingdom
    • Projects
    • Mining Bioinformatics Resource Descriptions from Literature
    • LexInfo: Lexicalization of Ontologies*
    [email_address] http://gnode1.mib.man.ac.uk/~mcaidha2 http://uk.linkedin.com/pub/hammad-afzal/2/49/298 * Worked with DERI, Digital Enterprise Research Institute, Galway, Ireland.
  • 2.
    • Literature : Still the largest Source of Knowledge
    • Extract profiles of entities & events from the literature
      • Bioinformatics Tools
      • PPI
      • Experimental Methods
    • Profile includes
      • Descriptors
      • Provenance data
      • Ontological descriptions
      • Related entities
    • Use related entities and descriptors to integrate the resources
    • Integrate literature with other DBs
    Research Context Bio-Data Feature Generation Feature Selection Text Pre-processing Text Transformation (Feature Generation) Feature Selection Data Mining (Pattern Discovery) Interpretation (Evaluation) Bioinformatician Software Agent Text Data Pre-processing
  • 3. Research Context
  • 4. In Bio-Hackathon 2010 Phylogenetic trees are then generated by the ClustalW program by the neighbour-joining method [PMC1973088] . We also used the CLUSTALW program for multialignment as a control process [PMC434493] . Resource1 Resource2 Resource3 Phylogenetic Tree ClustalW Program Multialignment RDF Store # Data # Task Phylogenetic Tree Generated by ClustalW Program Multialignment Is used for