000 04239nam a22005655i 4500
001 978-3-540-45692-6
003 DE-He213
005 20190213151532.0
007 cr nn 008mamaa
008 121227s2002 gw | s |||| 0|eng d
020 _a9783540456926
_9978-3-540-45692-6
024 7 _a10.1007/3-540-45692-9
_2doi
050 4 _aQH359-425
072 7 _aPSAJ
_2bicssc
072 7 _aSCI027000
_2bisacsh
072 7 _aPSAJ
_2thema
082 0 4 _a576.8
_223
245 1 0 _aBiological Evolution and Statistical Physics
_h[electronic resource] /
_cedited by Michael Lässig, Angelo Valleriani.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2002.
300 _aXII, 342 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Physics,
_x0075-8450 ;
_v585
505 0 _aMolecular 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.
520 _aThis 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.
650 0 _aEvolution (Biology).
650 0 _aBioinformatics.
650 0 _aStatistical physics.
650 1 4 _aEvolutionary Biology.
_0http://scigraph.springernature.com/things/product-market-codes/L21001
650 2 4 _aComplex Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P33000
650 2 4 _aBiological and Medical Physics, Biophysics.
_0http://scigraph.springernature.com/things/product-market-codes/P27008
650 2 4 _aBioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/L15001
650 2 4 _aMathematical and Computational Biology.
_0http://scigraph.springernature.com/things/product-market-codes/M31000
650 2 4 _aStatistical Physics and Dynamical Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P19090
700 1 _aLässig, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aValleriani, Angelo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642077432
776 0 8 _iPrinted edition:
_z9783540431886
776 0 8 _iPrinted edition:
_z9783662143698
830 0 _aLecture Notes in Physics,
_x0075-8450 ;
_v585
856 4 0 _uhttps://doi.org/10.1007/3-540-45692-9
912 _aZDB-2-PHA
912 _aZDB-2-LNP
912 _aZDB-2-BAE
999 _c11007
_d11007