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Description
HST.508 Genomics and Computational Biology (Fall 2002, MIT OCW). Instructor: Dr. George Church.
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. (from ocw.mit.edu)
Course Curriculum
- Intro 1: Computational Side of Computational Biology Unlimited
- Intro 1: Computational Side of Computational Biology (cont.) Unlimited
- Intro 2: Biological Side of Computational Biology Unlimited
- Intro 2: Biological Side of Computational Biology (cont.) Unlimited
- DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics Unlimited
- DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics (cont.) Unlimited
- DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models Unlimited
- DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models (cont.) Unlimited
- RNA 1: Microarrays, Library Sequencing and Quantitation Concepts Unlimited
- RNA 1: Microarrays, Library Sequencing and Quantitation Concepts (cont.) Unlimited
- RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Unlimited
- RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources (cont.) Unlimited
- Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics Unlimited
- Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics (cont.) Unlimited
- Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Proteins Unlimited
- Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Proteins (cont.) Unlimited
- Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods Unlimited
- Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods (cont.) Unlimited
- Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks Unlimited
- Networks 3: The Future of Computational Biology Unlimited
- Networks 3: The Future of Computational Biology (cont.) Unlimited
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