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Mining bioinformatics resource descriptions from literature to integrate databases

•
•
Hammad Afzal
Hammad Afzal

My intro slides at BioHackathon2010

Educación
1 de 4
Hammad Afzal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[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.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],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
Research Context
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

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Mining bioinformatics resource descriptions from literature to integrate databases

  • 1.
  • 2.
  • 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