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7.91J / 7.36J / 20.490J Foundations of Computational and Systems Biology, Spring 2004

Author(s)
Burge, Christopher; Yaffe, Michael; Woolf, Peter; Keating, Amy
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Download7-91j-spring-2004/contents/index.htm (35.06Kb)
Alternative title
Foundations of Computational and Systems Biology
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2015. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/
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Abstract
Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.
Date issued
2004-06
URI
http://hdl.handle.net/1721.1/96935
Department
Massachusetts Institute of Technology. Department of Biology; Massachusetts Institute of Technology. Department of Biological Engineering
Other identifiers
7.91J-Spring2004
local: 7.91J
local: 7.36J
local: 20.490J
local: IMSCP-MD5-68e80b38fdd46d8fa4b678beb0729a46
Keywords
computational biology, systems biology, bioinformatics, sequence analysis, proteomics, sequence alignment, protein folding, structure prediction, network modeling, phylogenetics, pairwise sequence comparisons, ncbi, blast, protein structure, dynamic programming, genome sequencing, DNA, RNA, x-ray crystallography, NMR, homologs, ab initio structure prediction, DNA microarrays, clustering, proteome, computational annotation, 7.91J, 7.36J, BE.490J, 7.91, 7.36, BE.490, 20.490, 20.490J

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