# Genomics and Computational Biology

- Institution: Massachusetts Institute of Technology
- Department: Health Sciences and Technology
- Teacher: Dr. George Church
- Term: Fall 2002
- Level: Undergraduate
- Language: English
- Subjects: Biology, Medicine and health, Computer science, Engineering
- Source: [MIT OpenCourseWare](https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/)
- Licence: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (Non-commercial use only.)
- Syllabus: [at the source](https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/pages/syllabus/)
- Readings: [at the source](https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/pages/readings/)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering. Future opportunities and current limitations will be critically addressed. In addition to the regular lecture sessions, supplementary sections are scheduled to address issues related to Perl, Mathematica and biology.

## Lectures

1. [1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/736ad091a160) (Video)
2. [1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/2ef61f41bc68) (Video)
3. [2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/b010d85c7364) (Video)
4. [2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/59da52900395) (Video)
5. [3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/22b22a885d51) (Video)
6. [3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/d100c970c507) (Video)
7. [4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/962b58d01f29) (Video)
8. [4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/43cf9da72857) (Video)
9. [5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/d4abf152b5c9) (Video)
10. [5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/e143605f7cea) (Video)
11. [6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/d539062a7b88) (Video)
12. [6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/9aaec16cd1de) (Video)
13. [7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/18f3ddcc8232) (Video)
14. [7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/ed4416ced869) (Video)
15. [8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/a72bb22997a5) (Video)
16. [8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/aa56fee01551) (Video)
17. [9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/475ba1098bb9) (Video)
18. [9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/42b87ef4244b) (Video)
19. [10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/7087cc5827d7) (Video)
20. [11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, E...](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/9a8e992b8c27) (Video)
21. [11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, Ecological & Commercial Models](https://invisiblenetwork.ai/learn/mit/hst-508-genomics-and-computational-biology-fall-2002/df787664412c) (Video)