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20.320 Biomolecular Kinetics and Cell Dynamics, Spring 2006

Author(s)
Lauffenburger, Douglas; White, Forest
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Alternative title
Biomolecular Kinetics and Cell Dynamics
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2014. 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
This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.
Date issued
2006-06
URI
http://hdl.handle.net/1721.1/86886
Department
Massachusetts Institute of Technology. Department of Biological Engineering
Other identifiers
20.320-Spring2006
local: 20.320
local: IMSCP-MD5-6082c36fada03901c69684f451a1baaf
Keywords
kinetics of molecular processes, dynamics of molecular processes, kinetics of cellular processes, dynamics of cellular processes, intracellular scale, extracellular scale, and cell population scale, biotechnology applications, gene regulation networks, nucleic acid hybridization, signal transduction pathways, cell populations in tissues, cell populations in bioreactors, experimental methods, quantitative analysis, computational modeling, cell population scale

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