Hammad Afzal <ul><li>AFFILIATION </li></ul><ul><li>School of Computer Science,  </li></ul><ul><li>University of Manchester...
<ul><li>Literature : Still the  largest  Source of Knowledge </li></ul><ul><li>Extract profiles of entities & events from ...
Research Context
In   Bio-Hackathon   2010 Phylogenetic trees  are then  generated by  the  ClustalW program  by the neighbour-joining meth...
Upcoming SlideShare
Loading in …5
×

Intro at BioHackathon2010

383 views

Published on

My intro slides at BioHackathon2010

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
383
On SlideShare
0
From Embeds
0
Number of Embeds
23
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Intro at BioHackathon2010

  1. 1. Hammad Afzal <ul><li>AFFILIATION </li></ul><ul><li>School of Computer Science, </li></ul><ul><li>University of Manchester, United Kingdom </li></ul><ul><li>Projects </li></ul><ul><li>Mining Bioinformatics Resource Descriptions from Literature </li></ul><ul><li>LexInfo: Lexicalization of Ontologies* </li></ul>[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. 2. <ul><li>Literature : Still the largest Source of Knowledge </li></ul><ul><li>Extract profiles of entities & events from the literature </li></ul><ul><ul><li>Bioinformatics Tools </li></ul></ul><ul><ul><li>PPI </li></ul></ul><ul><ul><li>Experimental Methods </li></ul></ul><ul><li>Profile includes </li></ul><ul><ul><li>Descriptors </li></ul></ul><ul><ul><li>Provenance data </li></ul></ul><ul><ul><li>Ontological descriptions </li></ul></ul><ul><ul><li>Related entities </li></ul></ul><ul><li>Use related entities and descriptors to integrate the resources </li></ul><ul><li>Integrate literature with other DBs </li></ul>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. 3. Research Context
  4. 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

×