MIT HST.508 Genomics and Computational Biology, Fall 2002
5.0
(0)
8 learners
What you'll learn
This course includes
- 18.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 21 lessons • 18.3 hours of video
MIT HST.508 Genomics and Computational Biology, Fall 2002
21 lessons
• 18.3 hours
MIT HST.508 Genomics and Computational Biology, Fall 2002
21 lessons
• 18.3 hours
- 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica01:02:36
- 1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica48:40
- 2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A...59:10
- 2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A...48:14
- 3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics...59:31
- 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics...46:46
- 4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models55:28
- 4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models50:14
- 5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts58:45
- 5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts51:42
- 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ...56:43
- 6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ...44:47
- 7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun...01:01:49
- 7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun...42:32
- 8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein...57:58
- 8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein...51:30
- 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods54:44
- 9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods46:41
- 10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks54:06
- 11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social,...31:47
- 11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, E...01:02:08
