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HST.508 - Genomics and Computational Biology

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)

Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica
Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica (cont.)
Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & Applications
Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & Applications (cont.)
DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics; Databases
DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics; Databases (cont.)
DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models
DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models (cont.)
RNA 1: Microarrays, Library Sequencing and Quantitation Concepts
RNA 1: Microarrays, Library Sequencing and Quantitation Concepts (cont.)
RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid Motifs; The Nature of Biological "proofs"
RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid Motifs; The Nature of Biological "proofs" (cont.)
Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Function & Drug Design
Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Function & Drug Design (cont.)
Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Proteins, Metabolites, & Interactions
Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Proteins, Metabolites, & Interactions (cont.)
Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods
Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods (cont.)
Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks
Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, Ecological & Commercial Models
Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, Ecological & Commercial Models (cont.)

References
HST.508 Genomics and Computational Biology, Fall 2002
Instructor: Dr. George Church. Lecture Notes. Projects (no examples). This course will assess the relationships among sequence, structure, and function in complex biological networks.