1 / 13

Lectures on Computational Biology

Lectures on Computational Biology. EFSS II National DongHua University Hualien, 2002 July 1-5. HC Lee Computational Biology Lab Center for Complex Systems & Biophysics National Central University.

zora
Download Presentation

Lectures on Computational Biology

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Lectures on Computational Biology EFSS II National DongHua University Hualien, 2002 July 1-5 HC Lee Computational Biology Lab Center for Complex Systems & Biophysics National Central University

  2. What is Computational Biology?The use of computational techniques to model biological systems at various levels of complexity - atomic, metabolic, cellular and pathologic.

  3. Central dogma for molecular biology DNA RNA Protein

  4. DNA Yeast alanyl transfer RNA

  5. StandardGenetic Code

  6. Amino acid codes Name, 3-letter and single-letter codes • Aspartic Acid Asp D Glutamic Acid Glu E • Phenylanine Phe F Glycine Gly G • Alanine Ala A Cystine Cys C • Histidine His H Isoleucine Ile I • Lysine Lys K Leucine Leu L • Methionine Met M Asparagine Asn N • Proline Pro P Glutamine Gln Q • Arginine Arg R Serine Ser S • Threonine Thr T Valine Val V • Tryptophan Trp W Tyrosine Tyr Y

  7. A protein cartoon Sperm whale myoglobin (1MBN)

  8. The Protein Folding Problem

  9. Central paradigm for Bioinformatics Central Paradigm

  10. Lecture 1Sequence Alignment

  11. Lecture 2Hidden Markov Model

  12. Lecture 3Molecular Evolution and Phylogeny

  13. Lecture 4Microarray & Analysis

More Related