Stochastic processes in genetics and evolution: computer experiments in the quantification of mutation and selection
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, N.J.
World Scientific
2012
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | 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. |
| Beschreibung: | 1 Online-Ressource (xxviii, 666 pages) |
| ISBN: | 9789814350679 9789814350686 9814350672 9814350680 |
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| 100 | 1 | |a Mode, Charles J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic processes in genetics and evolution |b computer experiments in the quantification of mutation and selection |c Charles J. Mode, Candace K. Sleeman |
| 264 | 1 | |a Hackensack, N.J. |b World Scientific |c 2012 | |
| 300 | |a 1 Online-Ressource (xxviii, 666 pages) | ||
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a 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 | ||
| 500 | |a 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. | ||
| 650 | 7 | |a MATHEMATICS / Linear & Nonlinear Programming |2 bisacsh | |
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| 650 | 4 | |a Evolution (Biology) |x Mathematical models | |
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Datensatz im Suchindex
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| author | Mode, Charles J. |
| author_facet | Mode, Charles J. |
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| author_sort | Mode, Charles J. |
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| bvnumber | BV043154214 |
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| ctrlnum | (OCoLC)785777973 (DE-599)BVBBV043154214 |
| dewey-full | 519.7 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.7 |
| dewey-search | 519.7 |
| dewey-sort | 3519.7 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:19:08Z |
| institution | BVB |
| isbn | 9789814350679 9789814350686 9814350672 9814350680 |
| language | English |
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| spelling | Mode, Charles J. Verfasser aut 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-Ressource (xxviii, 666 pages) txt rdacontent c rdamedia 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. MATHEMATICS / Linear & Nonlinear Programming bisacsh Mathematisches Modell Genetics Mathematical models Evolution (Biology) Mathematical models Stochastic processes Sleeman, Candace K. Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=457185 Aggregator Volltext |
| spellingShingle | Mode, Charles J. Stochastic processes in genetics and evolution computer experiments in the quantification of mutation and selection MATHEMATICS / Linear & Nonlinear Programming bisacsh Mathematisches Modell Genetics Mathematical models Evolution (Biology) Mathematical models Stochastic processes |
| 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 | MATHEMATICS / Linear & Nonlinear Programming bisacsh Mathematisches Modell Genetics Mathematical models Evolution (Biology) Mathematical models Stochastic processes |
| topic_facet | MATHEMATICS / Linear & Nonlinear Programming Mathematisches Modell Genetics Mathematical models Evolution (Biology) Mathematical models Stochastic processes |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=457185 |
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