Forward-Time Population Genetics Simulations : Methods, Implementation, and Applications /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Peng, Bo, 1974-
Άλλοι συγγραφείς: Kimmel, Marek, 1959-, Amos, Christopher I.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, N.J. : Wiley Blackwell, [2012]
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Peng, Bo,  |d 1974- 
245 1 0 |a Forward-Time Population Genetics Simulations :  |b Methods, Implementation, and Applications /  |c Bo Peng, Marek Kimmel, Christopher I. Amos. 
264 1 |a Hoboken, N.J. :  |b Wiley Blackwell,  |c [2012] 
264 4 |c ©2012 
300 |a 1 online resource (xxi, 234 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file  |2 rda 
380 |a Bibliography 
504 |a Includes bibliographical references and index. 
505 0 |a Frontmatter -- Basic Concepts and Models -- Simulation of Population Genetics Models -- Ascertainment Bias in Population Genetics -- Observing Properties of Evolving Populations -- Simulating Populations with Complex Human Diseases -- Nonrandom Mating and its Applications -- Appendix: Forward-Time Simulations Using simuPOP -- Index. 
505 0 |a Basic concepts and models -- Simulation of population genetics models -- Ascertainment bias in population genetics -- Observing properties of evolving populations -- Simulating populations with complex human diseases -- Nonrandom mating and its applications. 
520 |a 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. 
650 0 |a Population genetics. 
650 0 |a Evolution (Biology)  |x Computer simulation. 
650 2 |a Genetics, Population. 
650 2 |a Biological Evolution. 
650 2 |a Computer Simulation. 
650 2 |a Models, Genetic. 
650 7 |a SCIENCE  |x Life Sciences  |x Genetics & Genomics.  |2 bisacsh 
650 7 |a Evolution (Biology)  |x Computer simulation.  |2 fast  |0 (OCoLC)fst00917305 
650 7 |a Population genetics.  |2 fast  |0 (OCoLC)fst01071583 
655 4 |a Electronic books. 
655 7 |a Electronic books.  |2 local 
700 1 |a Kimmel, Marek,  |d 1959- 
700 1 |a Amos, Christopher I. 
776 0 8 |i Print version:  |a Peng, Bo, 1974-  |t Forward-time population genetics simulations.  |d Hoboken, N.J. : Wiley Blackwell, ©2012  |w (DLC) 2011033593 
856 4 0 |u https://doi.org/10.1002/9781118180358  |z Full Text via HEAL-Link 
994 |a 92  |b DG1