By Michael E. Wall
Unfastened Energies, Landscapes, and health in Evolution Dynamics, Robert H. AustinSystem layout ideas, Michael A. SavageauChance and reminiscence, Theodore J. Perkins, Andrea Y. Weiße, and Peter S. SwainInformation conception and edition, Ilya NemenmanQuantitative In Vitro Biochemistry, One Molecule at a Time, Jeffrey A. Hanson and Haw YangSmall-Angle Scattering, Cy M. Jeffries and Jill TrewhellaSubcellular Signaling Dynamics, Jeffrey J. Saucerman and Jin ZhangSingle-Cell habit, Philippe CluzelModeling Genetic elements for man made Biology, Ying-Ja Chen, Kevin Clancy and Christopher A. VoigtModelin. Read more...
summary: loose Energies, Landscapes, and health in Evolution Dynamics, Robert H. AustinSystem layout rules, Michael A. SavageauChance and reminiscence, Theodore J. Perkins, Andrea Y. Weiße, and Peter S. SwainInformation thought and edition, Ilya NemenmanQuantitative In Vitro Biochemistry, One Molecule at a Time, Jeffrey A. Hanson and Haw YangSmall-Angle Scattering, Cy M. Jeffries and Jill TrewhellaSubcellular Signaling Dynamics, Jeffrey J. Saucerman and Jin ZhangSingle-Cell habit, Philippe CluzelModeling Genetic components for man made Biology, Ying-Ja Chen, Kevin Clancy and Christopher A. VoigtModelin
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Extra resources for Quantitative Biology : From Molecular to Cellular Systems
Chem. Soc. Rev. 39, 1049–1059 (2010).  Lambert, G. et al. An analogy between the evolution of drug resistance in bacterial communities and malignant tissues. Nat. Rev. Cancer 11, 375–382 (2011).  Davies, P. C. W. Multiverse cosmological models. Modern Phys. Lett. A 19, 727–743 (2004).  Smolin, L. Cosmological natural selection as the explanation for the complexity of the universe. Physica A 340, 705–713 (2004).  Zhang, Q. C. et al. Acceleration of emergence of bacterial antibiotic resistance in connected microenvironments.
46 Biological systems involve complex networks of reactions and gene circuits that exhibit enormous variation in design. For years the most convenient explanation for these variations was historical accident. According to this view, evolution is a haphazard process in which many different designs are generated by chance; there are many ways to accomplish Quantitative Biology: From Molecular to Cellular Systems edited by Michael E. Wall © 2012 CRC Press / Taylor & Francis Group, LLC.
A spin glass can also be used to make an analogy to the heterogeneous genomic state that a metapopulation of quasi-species can form. Spin glass analogies to genomic diversity, although only analogies, have some interesting consequences since the spin glass model is inherently a “digital” form of reconstructing a complex system and naturally leads to concepts such as information, distance between states, entropy of states, and the concept of speciation. First, it is possible to define the distance between two genomes by aligning the genomes σ and σ′ and mapping backward the mutational paths to a common ancestor.