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Taschenbuch. Condition: Neu. Probability Models for DNA Sequence Evolution | Richard Durrett | Taschenbuch | xii | Englisch | 2010 | Humana | EAN 9781441926777 | 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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Language: English
Published by Springer New York, Humana, 2010
ISBN 10: 1441926771 ISBN 13: 9781441926777
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from 'neutral evolution'. The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes.
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from 'neutral evolution'. The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes.
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Gebunden. Condition: New. Second edition of a successful bookGenetics is one of the fastest growing areas of active researchDurrett is a very well-known probabilistAssumes no previous knowledge of biology and only a basic knowledge of probabilityInclud.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2nd edition. 431 pages. 9.00x6.25x1.00 inches. In Stock.
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer New York, Springer US Dez 2010, 2010
ISBN 10: 1441926771 ISBN 13: 9781441926777
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from 'neutral evolution'. The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. 444 pp. Englisch.
Language: English
Published by Springer New York Aug 2008, 2008
ISBN 10: 0387781684 ISBN 13: 9780387781686
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from 'neutral evolution'. The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. 431 pp. Englisch.