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Thailand Bioinformatics: Research and Applications Sissades T ongsima Bioinformatics Laboratory, BIOTEC Merging Computer Science, Biology, Information technology into one discipline Bioinformatics Not biological computation (to compute by

  1. Thailand Bioinformatics: Research and Applications Sissades T ongsima Bioinformatics Laboratory, BIOTEC

  2. Merging Computer Science, Biology, Information technology into one discipline ☛ Bioinformatics Not biological computation (to compute by imitating biological processes)

  3. Bioinformatics Bridge breeding animal science ecology plant pathology computer science evolution biostatistics bioinformatics mathematics chemistry biochemistry pharmacology molecular bio medicine biophysics pathology

  4. Commonly known bioinformatics Goal: “enable” the discovery of new insights by means of “global perspective 1970 2010 2014 2020?? � databases Analysis/ Interpretation Algorithms � big data driven � databases Analysis/ Interpretation Algorithms 2000

  5. Bioinformatics is the future for bio- related disciplines Applications driven by next generation sequencing technology (gene mapping, pharmacogenomics etc.) Peptide inhibitor/drug/vaccine design Marker assisted selection (MAS) breeding

  6. How to do “bioinformatics” Biological “domain” experts Bioinformatics/Computational biology Biological drivers Resources

  7. T ypes of work (in Thailand) Data management or “Databases” Bio-annotation graphic visualization � Novel algorithms for data manipulation Easy tool � Pattern Recognition Computational Biology Systems modeling Applying tools and DB New Computational workflow

  8. Thailand Bioinformatics

  9. Snapshots of Activities KMUTT-CMU (Bioinformatics program) Starch biosynthesis (Prof. Supaporn) Systems biology (Prof. Asawin/Jeerayuth) Prince of Songkla University Shrimp immune/ Oil palm (Prof. Amornrat) Bioinformatics (Prof. Unitsa/Pitipol)

  10. Snapshots of Activities Chulalongkorn University LINE-1/Cancer research (Prof. Apiwat) Gene Mapping (Prof. Vorasuk) Algorithm development (Prof. Chidchanok) Molecular modeling/docking (Prof. Supoj) Metagenomics (Prof. Naraporn)

  11. Snapshots of Activities Kasetsart University Rice breeding program (Prof. Apichart) Molecular modeling/docking (Prof. Supa) Khonkaen University Animal breeding (Prof. Monchai) Pharmacogenomics (Prof. Wichitra)

  12. Snapshots of Activities Mahidol University Dengue (Prof. Preeda/Prapat) Pop genetics (Prof. Patcharee/Bhoom) Sequencing (Siriraj hospital) Virus, GWAS (Prof. Wasun) Thalassemia (Prof. Suthat)

  13. What have we done?

  14. Data management Genetic Variation databases

  15. Thailand HVP node 1000G EVS dbNSFP dbSNP Sift Variant Known Variants Annotation Polyphen Tools ThaiSNP … Thailand � HVP Node Mutant and � Mutant Thai- Submission Thai NGS WGS Variants Thai � Thaimut gVCF 
 Exome Data

  16. T ools Development Standalone/Web tools

  17. Algorithm Development Clustering and GWAS tool

  19. Medical Informatics HbT yping interpretation/Malaria Image Proc/ Karyotyping Image Proc

  20. Summary Bioinformatics “assists” discovery of new insights Bioinformatics research (all three aspects) is driven by the data T o be successful, the key components must be in place (no guarantee, though :-) In Thailand, NGS could be a turned-key technology

  21. Acknowledgement Members from Bioinformatics Lab, BIOTEC Prof. Suthat Fucharoen (Mahidol) Prof. Apiwat Mutirangura (Chulalongkorn) Prof. Vorasuk Shotilersuk (Chulalongkorn) Prof. Chanin Limwongse (Siriraj Hospital) Every Thai bioinformaticains

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