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โœฆ   LIBER   โœฆ

Forward-Time Population Genetics Simulations (Methods, Implementation, and Applications) || Simulation of Population Genetics Models

โœ Scribed by Peng, Bo; Kimmel, Marek; Amos, Christopher I.


Book ID
120409274
Publisher
John Wiley & Sons, Inc.
Year
2012
Tongue
English
Weight
153 KB
Edition
1
Category
Article
ISBN
0470503483

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โœฆ Synopsis


The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. The authors introduce commonly used forward-time population genetics simulation methods, including some new methods, and introduce a forward-time population genetics simulation environment, simuPOP, as a powerful and flexible tool to implement these simulations. Researchers and students in population and statistical genetics will find this book useful.


๐Ÿ“œ SIMILAR VOLUMES


Forward-Time Population Genetics Simulat
โœ Peng, Bo; Kimmel, Marek; Amos, Christopher I. ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› John Wiley & Sons, Inc. ๐ŸŒ English โš– 149 KB

The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. Th

Forward-Time Population Genetics Simulat
โœ Peng, Bo; Kimmel, Marek; Amos, Christopher I. ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› John Wiley & Sons, Inc. ๐ŸŒ English โš– 930 KB

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Forward-Time Population Genetics Simulat
โœ Peng, Bo; Kimmel, Marek; Amos, Christopher I. ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› John Wiley & Sons, Inc. ๐ŸŒ English โš– 278 KB

The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. Th