This document discusses the importance of computational tools for biological research. It provides an overview of how computer applications are used in areas like the Human Genome Project, transcriptomics, proteomics, and systems biology. The document also notes challenges for biological research in Thailand, including a lack of background knowledge in computer science and limited access to free and easy-to-use computational tools, especially in the Thai language. It argues that biology students in Thailand should be taught bioinformatics and computational biology skills to better facilitate biological research.

1. Computer Application For
Biological Research
Chakard Chalayut (molecularck)
Laboratory of Molecular Virology
Institute of Molecular Biology & Genetics
Mahidol University

2. A little bit about myself.
Bachelor degree in Microbiology at Microbiology
Department, Science Faculty, KMUTT
Now. Master degree in Molecular Biology & Genetics at
Institute of Molecular Biology & Genetics, Mahidol
University.

3. Imagine ! how does the cell
big?

4. Data storage in cell

5. DNA

7. How does the data
transfer ?

8. So we need to know how the information go from DNA
to protein.
Which region is the coding sequence?
What is the remain in the DNA?
How does the protein work?
ETC

9. The important of Computer
in Biology Research
Human Genome Project (HGP)

10. What we got from HGP
Sequence of all genetic information.
Maps and Landmarks in Genome
Expressed Sequence
DNA markers
Variation of genome
Bioinformatic tools

11. Next of HGP
Transcriptomics
Proteomics
Functional Genomics
Animal Model Study
Gene Therapy
Computational Genomics

12. Computational Genomics
Is an interdisciplinary field that applies the techniques of
computer science, applied mathematics, and statistics
to address problems inspired by biology. Major fields in
biology that use computational techniques.

13. Computational Genomics
Bioinformatics

14. Computational Genomics
Bioinformatics

15. Computational Genomics
Computational Biomodeling

16. the reverse transcriptase enzyme of the
HIV-I virus with a molecular model of
an inhibitor drug compound bound to
the enzyme's receptor pocket.

17. Computational Genomics
Molecular Modelling

18. PyMol
VMD

19. Computational Genomics
Systems biology
new biological study field that focuses on the
systematic study of complex interactions in biological
systems
Transcriptomics Glycomics
Proteomics Fluxomics
Interactomics Metabolomics

21. Computational Genomics
Protein structure prediction and structural genomics
Protein Purification
Crystallization
X-ray Crystallography
Analyses
Protein Structure

24. For Thailand
We have BIOTECH as a leader for Computational
Genomics development.

26. The problem for biology
research from my experience.
No background knowledge of computer.
Don’t have the easy and free tools to use. (especially
Thai tools)

27. Most of the free biology computer tools are in UNIX but
most biological scientist didn’t know what is UNIX until
Master degree!!! (Someone in Doctor Degree)
Most of biology science student didn’t study UNIX or
biology tool but the University let they study Pascal or
Dos and we don’t know how this program involve in
biology research.

28. The science student in Thailand must learn some
bioinformatics or computational biology for research the
tools for biology research.

29. Thank you for your attention.