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8.592J / HST.452J Statistical Physics in Biology, Spring 2005

Author(s)
Mirny, Leonid; Kardar, Mehran
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Download8-592j-spring-2005/contents/index.htm (29.35Kb)
Alternative title
Statistical Physics in Biology
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Usage Restrictions: This site (c) Massachusetts Institute of Technology 2013. 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
Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.
Date issued
2005-06
URI
http://hdl.handle.net/1721.1/81298
Department
Massachusetts Institute of Technology. Department of Physics; Harvard University--MIT Division of Health Sciences and Technology
Other identifiers
8.592J-Spring2005
local: 8.592J
local: HST.452J
local: IMSCP-MD5-12d47817c4decb07b6682b9fd69f0975
Keywords
Bioinformatics, DNA, gene finding, sequence comparison, phylogenetic trees, biopolymers, DNA double helix, secondary structure of RNA, protein folding, protein motors, membranes, cellular networks, neural networks, evolution

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