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CourseHST.50821 lectures

Genomics and Computational Biology

Dr. George Church · Massachusetts Institute of Technology

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About

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

Lectures: Audio and Slides

  1. 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica Video
  2. 1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica Video
  3. 2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... Video
  4. 2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... Video
  5. 3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... Video
  6. 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... Video
  7. 4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models Video
  8. 4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models Video
  9. 5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts Video
  10. 5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts Video
  11. 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... Video
  12. 6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... Video
  13. 7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... Video
  14. 7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... Video
  15. 8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... Video
  16. 8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... Video
  17. 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods Video
  18. 9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods Video
  19. 10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks Video
  20. 11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, E... Video
  21. 11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, Ecological & Commercial Models Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

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
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Dr. George Church. Genomics and Computational Biology. Fall 2002. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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