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Lectures on Computational Biology

This lecture series conducted at National Dong Hwa University covers the essential concepts of computational biology, emphasizing the application of computational techniques to model biological systems across various complexities, from atomic to pathological levels. Key topics include the central dogma of molecular biology (DNA, RNA, and proteins), amino acid coding, and strategies for protein folding. The series also delves into critical paradigms in bioinformatics, including sequence alignment, hidden Markov models, molecular evolution, phylogeny, and microarray analysis, providing foundational knowledge for students and researchers in the field.

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Lectures on Computational Biology

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  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

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