Biological Evolution and Statistical Physics (eBook, PDF)

Redaktion: Lässig, M.; Valleriani, A.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 342
• Erscheinungstermin: 11. Januar 2008
• Englisch
• ISBN-13: 9783540456926
• Artikelnr.: 53137301

Autorenporträt

Michael Lässig, Universität zu Köln, Germany / Angelo Valleriani, Max-Planck-Institute for Colloids and Interfaces, Potsdam, Germany

Inhaltsangabe

Molecular information and evolution.- Statistical significance and extremal ensemble of gapped local hybrid alignment.- On the design of optimization criteria for multiple sequence alignment.- Red queen dynamics and the evolution of translational redundancy and degeneracy.- A testable genotype-phenotype map: modeling evolution of RNA molecules.- Evolutionary perspectives on protein structure, stability, and functionality.- Phylogeny.- 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.- The evolution of populations and species.- Fitness landscapes.- Tempo and mode in quasispecies evolution.- Multilevel processes in evolution and development: Computational models and biological insights.- Evolutionary strategies for solving optimization problems.- Review of biological ageing on the computer.- Spatio-temporal modes of speciation.- Large-scale evolution.- Food web structure and the evolution of ecological communities.- Dynamics and topology of species networks.- Modelling macroevolutionary patterns: An ecological perspective.