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An Introduction to Computational
Genomics for Infectious Disease
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This course will serve as an introduction to computational genomics methods with selected applications to the study of infectious disease organisms. It will include both lectures at the HSPH and computational “labs” at the Broad Institute.
Class
Schedule: January
16-26, 2007
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Lectures: Tuesdays & Thursdays |
Labs: Wednesdays & Fridays |
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11:00 a.m. - 12:30 p.m. |
1:00 p.m. – 3:00 p.m. |
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The
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Broad
Institute: Olympus Room First
floor of Broad Main Lobby |
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Instructors:
- James Galagan Broad Institute, HSPH Visiting Scientist (jgalag@mit.edu)
Teaching Assistants:
Lab Instructors:
- Antonis Rokas (arokas@broad.mit.edu)
- Aaron Brandes (abrandes@broad.mit.edu)
- Jeremy Zucker (zucker@research.dfci.harvard.edu)
- And other members of the Broad Microbial Group
Schedule:
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Lecture (HSPH) |
Laboratory (Broad) |
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Basic Sequence Analysis and Annotation |
1/16/07 (Tuesday) |
1/17/07 (Wednesday) |
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Classification and Clustering of Microarray Data |
1/18/07 (Thursday) |
1/19/07 (Friday) |
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Motif Prediction and Antigen Prediction |
1/23/07 (Tuesday) |
1/24/07 (Wednesday) |
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Steady State Metabolic Modeling |
1/25/07 (Thursday) |
1/26/07 (Friday) |
Resources:
- Tutorials:
- A Primer
on Statistics and Probabilty for Computational Biologists by Peter
Woolf, Christopher Burge, Amy Keating, and Michael Yaffee.
- A Matlab
Tutorial from Mathworks (the makers of Matlab). Many other tutorials
are on the web. A free 15-day trial of matlab can be acquired from here
- Books:
- Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin, Sean R. Eddy, Anders Krogh, and Graeme Mitchison
- Links:
Sponsored by the Broad Institute & HSPH Dept. of Immunology and Infectious Disease