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.) |