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步芽

MIT HST.508 Genomics and Computational Biology, Fall 2002

难度
难度 1/5
适合人群
前置要求
零基础可学
课程规模
21

课程大纲(21 讲)

  1. P1 · 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Math62 分钟
  2. P2 · 1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Math48 分钟
  3. P3 · 2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Mod59 分钟
  4. P4 · 2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Mod48 分钟
  5. P5 · 3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacoge59 分钟
  6. P6 · 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacog46 分钟
  7. P7 · 4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models55 分钟
  8. P8 · 4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models50 分钟
  9. P9 · 5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts58 分钟
  10. P10 · 5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts51 分钟
  11. P11 · 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nuclei56 分钟
  12. P12 · 6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nuclei44 分钟
  13. P13 · 7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynami61 分钟
  14. P14 · 7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynami42 分钟
  15. P15 · 8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of57 分钟
  16. P16 · 8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of51 分钟
  17. P17 · 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization M54 分钟
  18. P18 · 9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization M46 分钟
  19. P19 · 10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural54 分钟
  20. P20 · 11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, S62 分钟
  21. P21 · 11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, S31 分钟

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