Biological evolution and statistical physics / M. Lässig, A. Valleriani (eds.).
Contributor(s): Lässig, M. (Michael) | Valleriani, A. (Angelo)Material type: TextSeries: Lecture notes in physics: 585.Publisher: Berlin ; New York : Springer, ©2002Description: 1 online resource (xi, 337 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540456926; 3540456929Subject(s): Evolution (Biology) | Statistical physics | Information theory in biology | Evolution, Molecular | Biology | Information Theory | Physics | Evolution (Biology) | Information theory in biology | Statistical physicsGenre/Form: Electronic books. Additional physical formats: Print version:: Biological evolution and statistical physics.DDC classification: 576.8 LOC classification: QH366.2 | .B57 2002Online resources: Click here to access online
|Item type||Current location||Collection||Call number||Status||Date due||Barcode||Item holds|
Based on papers from a workshop held in Dresden, Germany in 2000.
Includes bibliographical references.
From the contents: Statistical Significance and Extremal Ensemble of Gapped Local Hybrid Alignment -- On the Design of Optimization Critera for Multiple Sequence Alignment -- Red Queen Dynamics and the Evolution of Translational Redundancy -- A Testable Genotype-Phenotype Map: Modeling Evolution of RNA Molecules -- Evolutionary Perspectives on Protein Structure, Stability, and Functionality -- The Statistical Approach to Molecular Phylogeny: Evidence for a Nonhyperthermophilic Common Ancestor -- Principles of Cophylogenetic Maps -- Accounting for Phylogenetic Uncertainty in Comparative Studies of Evolution and Adaptation -- The "Shape" of Phylogenies Under Simple Random Speciation Models -- Fitness Landscapes -- Tempo and Mode in Quasispecies Evolution -- Multilevel Processes in Evolution and Development -- Evolutionary Strategies for Solving Optimazation Problems -- Review of Biological Ageing on the Computer -- Spatio-Temporal Modes of Speciation.
This set of lecture notes gives a first coherent account of a novel aspect of the living world that can be called biological information. The book presents both a pedagogical and state-of-the art roadmap of this rapidly evolving area and covers the whole field, from information which is encoded in the molecular genetic code to the description of large-scale evolution of complex species networks. The book will prove useful for all those who work at the interface of biology, physics and information science.