Biological evolution statistical physics (25 résultats)

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Etat : Good. Volume 585. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9783540431886. …

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Hardcover. Etat : Gut. XI, 337 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05331 9783540431886 Sprache: Englisch Gewicht in Gramm: 550.

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Gebunden. Etat : Gut. Gebraucht - Gut Verlagsmängelex., XI, 337 pp. 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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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - People have always asked what distinguishes the living from the inanimate world and what uni es the two. The elds of biology and physics have a long history of exchange. Milestones at the molecular level were the discoveries of the structure ofDNA,RNA,andproteins. It is not by coincidence that this exchange has intensi ed in recent years. Laboratory experiments reach down to the level of single molecules. Moreover, thereisnowavastamountofgenomicinformation,whichisstillgrowingex- nentially due to the various sequencing projects. Biologists increasingly feel the need for theoretical models to interpret these data in a quantitative way. At the sametime,theoreticalphysicshasmadesigni cantprogressinareaslikelyto be relevant for the understanding of biological systems. Some important ex- plesarecooperativephenomena,statisticsfarfromthermodynamicequilibrium, systemswithquencheddisorder,andsoftmatter. Some forms of biological matter have indeed become established areas of - searchwithinphysics,suchasbiomembranes,heteropolymers,molecularmotors, microtubules,neuralsystemsetc.Thisvolumeisfocusedonadi erentaspect of the living world that can be calledbiologicalinformation,itscoding,rep- duction,andevolution.Biologicalinformationistranslatedintostructuresand patternsoveranenormousrangeofscales,fromsinglebiomoleculestospecies networks coupled over entire continents. Thestatisticaltheory of biological information lives not only in three-dim- sional space. It involves various abstract spaces in which this information is encodedandevolves,suchasnucleotidesequences,genenetworks,ortopologies of the tree of life . The articles collected highlight a few directions of research that may become important parts of this emerging eld. The rst part of the book,MolecularInformationandEvolution,startswith twoarticlesonsequencesimilarityanalysis,acentralthemeinbioinformatics which has surprisingly deep connections to statistical physics. The genetic code, RNA,andproteinsarethreeexamplesoftheintricateinterplayofsequence, structure,andfunctioninevolution.…

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - People have always asked what distinguishes the living from the inanimate world and what uni es the two. The elds of biology and physics have a long history of exchange. Milestones at the molecular level were the discoveries of the structure ofDNA,RNA,andproteins. It is not by coincidence that this exchange has intensi ed in recent years. Laboratory experiments reach down to the level of single molecules. Moreover, thereisnowavastamountofgenomicinformation,whichisstillgrowingex- nentially due to the various sequencing projects. Biologists increasingly feel the need for theoretical models to interpret these data in a quantitative way. At the sametime,theoreticalphysicshasmadesigni cantprogressinareaslikelyto be relevant for the understanding of biological systems. Some important ex- plesarecooperativephenomena,statisticsfarfromthermodynamicequilibrium, systemswithquencheddisorder,andsoftmatter. Some forms of biological matter have indeed become established areas of - searchwithinphysics,suchasbiomembranes,heteropolymers,molecularmotors, microtubules,neuralsystemsetc.Thisvolumeisfocusedonadi erentaspect of the living world that can be calledbiologicalinformation,itscoding,rep- duction,andevolution.Biologicalinformationistranslatedintostructuresand patternsoveranenormousrangeofscales,fromsinglebiomoleculestospecies networks coupled over entire continents. Thestatisticaltheory of biological information lives not only in three-dim- sional space. It involves various abstract spaces in which this information is encodedandevolves,suchasnucleotidesequences,genenetworks,ortopologies of the tree of life . The articles collected highlight a few directions of research that may become important parts of this emerging eld. The rst part of the book,MolecularInformationandEvolution,startswith twoarticlesonsequencesimilarityanalysis,acentralthemeinbioinformatics which has surprisingly deep connections to statistical physics. The genetic code, RNA,andproteinsarethreeexamplesoftheintricateinterplayofsequence, structure,andfunctioninevolution.…

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Taschenbuch. Etat : Neu. Biological Evolution and Statistical Physics | M. Lässig (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9783642077432 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Langue : anglais
Edité par Springer, Springer Berlin Heidelberg Dez 2010, 2010
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -People have always asked what distinguishes the living from the inanimate world and what uni es the two. The elds of biology and physics have a long history of exchange. Milestones at the molecular level were the discoveries of the structure ofDNA,RNA,andproteins. It is not by coincidence that this exchange has intensi ed in recent years. Laboratory experiments reach down to the level of single molecules. Moreover, thereisnowavastamountofgenomicinformation,whichisstillgrowingex- nentially due to the various sequencing projects. Biologists increasingly feel the need for theoretical models to interpret these data in a quantitative way. At the sametime,theoreticalphysicshasmadesigni cantprogressinareaslikelyto be relevant for the understanding of biological systems. Some important ex- plesarecooperativephenomena,statisticsfarfromthermodynamicequilibrium, systemswithquencheddisorder,andsoftmatter. Some forms of biological matter have indeed become established areas of - searchwithinphysics,suchasbiomembranes,heteropolymers,molecularmotors, microtubules,neuralsystemsetc.Thisvolumeisfocusedonadi erentaspect of the living world that can be calledbiologicalinformation,itscoding,rep- duction,andevolution.Biologicalinformationistranslatedintostructuresand patternsoveranenormousrangeofscales,fromsinglebiomoleculestospecies networks coupled over entire continents. Thestatisticaltheory of biological information lives not only in three-dim- sional space. It involves various abstract spaces in which this information is encodedandevolves,suchasnucleotidesequences,genenetworks,ortopologies of the tree of life . The articles collected highlight a few directions of research that may become important parts of this emerging eld. The rst part of the book,MolecularInformationandEvolution,startswith twoarticlesonsequencesimilarityanalysis,acentralthemeinbioinformatics which has surprisingly deep connections to statistical physics. The genetic code, RNA,andproteinsarethreeexamplesoftheintricateinterplayofsequence, structure,andfunctioninevolution. 356 pp. Englisch.…

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -People have always asked what distinguishes the living from the inanimate world and what uni es the two. The elds of biology and physics have a long history of exchange. Milestones at the molecular level were the discoveries of the structure ofDNA,RNA,andproteins. It is not by coincidence that this exchange has intensi ed in recent years. Laboratory experiments reach down to the level of single molecules. Moreover, thereisnowavastamountofgenomicinformation,whichisstillgrowingex- nentially due to the various sequencing projects. Biologists increasingly feel the need for theoretical models to interpret these data in a quantitative way. At the sametime,theoreticalphysicshasmadesigni cantprogressinareaslikelyto be relevant for the understanding of biological systems. Some important ex- plesarecooperativephenomena,statisticsfarfromthermodynamicequilibrium, systemswithquencheddisorder,andsoftmatter. Some forms of biological matter have indeed become established areas of - searchwithinphysics,suchasbiomembranes,heteropolymers,molecularmotors, microtubules,neuralsystemsetc.Thisvolumeisfocusedonadi erentaspect of the living world that can be calledbiologicalinformation,itscoding,rep- duction,andevolution.Biologicalinformationistranslatedintostructuresand patternsoveranenormousrangeofscales,fromsinglebiomoleculestospecies networks coupled over entire continents. Thestatisticaltheory of biological information lives not only in three-dim- sional space. It involves various abstract spaces in which this information is encodedandevolves,suchasnucleotidesequences,genenetworks,ortopologies of the tree of life . The articles collected highlight a few directions of research that may become important parts of this emerging eld. The rst part of the book,MolecularInformationandEvolution,startswith twoarticlesonsequencesimilarityanalysis,acentralthemeinbioinformatics which has surprisingly deep connections to statistical physics. The genetic code, RNA,andproteinsarethreeexamplesoftheintricateinterplayofsequence, structure,andfunctioninevolution. 356 pp. Englisch.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bridges the gap between advanced textbook material and the research literatureThis 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 .…

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bridges the gap between advanced textbook material and the research literatureThis 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 .…

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.…

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.…

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