Stochastic processes in genetics and evolution :: computer experiments in the quantification of mutation and selection /
The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutatio...
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| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, N.J. :
World Scientific,
2012.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutation and selection at the Mendelian level. A serious limitation of Wright-Fisher process, the assumption that population size is constant, motivated the introduction of self regulating branching processes in this book. While providing a short review of the principles of probability and its application. |
| Beschreibung: | 1 online resource (xxviii, 666 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789814350686 9814350680 |
Internformat
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| contents | Prologue; Acknowledgments; Contents; 1. An Introduction to Mathematical Probability with Applications in Mendelian Genetics; 1.1 Introduction; 1.2 Mathematical Probability in Mendelian Genetics; 1.3 Examples of Finite Probability Spaces; Example 1.3.1: An Equal Frequency Model; Example 1.3.2: Partitions of an Abstract Set; Example 1.3.3: A Deterministic Case; Example 1.3.4: Inheritance of Eye Color and Sex; 1.4 Elementary Combinatorial Analysis; 1.5 The Binomial Distribution; Example 1.5.1: Distribution of Boys and Girls in Families of Size N. |
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| id | ZDB-4-EBA-ocn785777973 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:20Z |
| institution | BVB |
| isbn | 9789814350686 9814350680 |
| language | English |
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| spelling | Mode, Charles J. Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / Charles J. Mode, Candace K. Sleeman. Hackensack, N.J. : World Scientific, 2012. 1 online resource (xxviii, 666 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutation and selection at the Mendelian level. A serious limitation of Wright-Fisher process, the assumption that population size is constant, motivated the introduction of self regulating branching processes in this book. While providing a short review of the principles of probability and its application. Prologue; Acknowledgments; Contents; 1. An Introduction to Mathematical Probability with Applications in Mendelian Genetics; 1.1 Introduction; 1.2 Mathematical Probability in Mendelian Genetics; 1.3 Examples of Finite Probability Spaces; Example 1.3.1: An Equal Frequency Model; Example 1.3.2: Partitions of an Abstract Set; Example 1.3.3: A Deterministic Case; Example 1.3.4: Inheritance of Eye Color and Sex; 1.4 Elementary Combinatorial Analysis; 1.5 The Binomial Distribution; Example 1.5.1: Distribution of Boys and Girls in Families of Size N. Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Evolution (Biology) Mathematical models. Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Processus stochastiques. MATHEMATICS Linear & Nonlinear Programming. bisacsh Evolution (Biology) Mathematical models fast Genetics Mathematical models fast Stochastic processes fast Sleeman, Candace K. has work: Stochastic processes in genetics and evolution (Text) https://id.oclc.org/worldcat/entity/E39PCH46pyrFPQxGJW7Dxyv6qP https://id.oclc.org/worldcat/ontology/hasWork Print version 9814350672 Print version 9789814350679 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=457185 Volltext |
| spellingShingle | Mode, Charles J. Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / Prologue; Acknowledgments; Contents; 1. An Introduction to Mathematical Probability with Applications in Mendelian Genetics; 1.1 Introduction; 1.2 Mathematical Probability in Mendelian Genetics; 1.3 Examples of Finite Probability Spaces; Example 1.3.1: An Equal Frequency Model; Example 1.3.2: Partitions of an Abstract Set; Example 1.3.3: A Deterministic Case; Example 1.3.4: Inheritance of Eye Color and Sex; 1.4 Elementary Combinatorial Analysis; 1.5 The Binomial Distribution; Example 1.5.1: Distribution of Boys and Girls in Families of Size N. Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Evolution (Biology) Mathematical models. Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Processus stochastiques. MATHEMATICS Linear & Nonlinear Programming. bisacsh Evolution (Biology) Mathematical models fast Genetics Mathematical models fast Stochastic processes fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85053879 http://id.loc.gov/authorities/subjects/sh85128181 |
| title | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / |
| title_auth | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / |
| title_exact_search | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / |
| title_full | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / Charles J. Mode, Candace K. Sleeman. |
| title_fullStr | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / Charles J. Mode, Candace K. Sleeman. |
| title_full_unstemmed | Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection / Charles J. Mode, Candace K. Sleeman. |
| title_short | Stochastic processes in genetics and evolution : |
| title_sort | stochastic processes in genetics and evolution computer experiments in the quantification of mutation and selection |
| title_sub | computer experiments in the quantification of mutation and selection / |
| topic | Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Evolution (Biology) Mathematical models. Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Processus stochastiques. MATHEMATICS Linear & Nonlinear Programming. bisacsh Evolution (Biology) Mathematical models fast Genetics Mathematical models fast Stochastic processes fast |
| topic_facet | Genetics Mathematical models. Evolution (Biology) Mathematical models. Stochastic processes. Processus stochastiques. MATHEMATICS Linear & Nonlinear Programming. Evolution (Biology) Mathematical models Genetics Mathematical models Stochastic processes |
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