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Forward-time population genetics simulations methods, implementation, and applications / Bo Peng, Marek Kimmel, Christopher I. Amos.

Peng, Bo, 1974- (författare)
Kimmel, Marek, 1959- (författare)
Amos, Christopher I. (författare)
 
ISBN 9781118180358
Hoboken, N.J. Wiley-Blackwell, 2012
Engelska online resource (xxi, 234 s.
  • swepub:Mat__t
Innehållsförteckning Abstract Ämnesord
Stäng  
  • 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.
  • The only book available in the area of forward-time population genetics simulations—applicable to both biomedical and evolutionary studies. The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpopulations, information fields, and Python operators. The book begins with an overview of important concepts and models, then goes on to show how simuPOP can simulate a number of standard population genetics models—with the goal of demonstrating the impact of genetic factors such as mutation, selection, and recombination on standard Wright-Fisher models. The rest of the book is devoted to applications of forward-time simulations in various research topics.

Ämnesord

Population genetics  -- Computer simulation. (LCSH)
Genetics, Population.  (MeSH)
Biological Evolution.  (MeSH)
Computer Simulation.  (MeSH)
Models, Genetic.  (MeSH)

Genre

Electronic books.  (local)

Publikations- och innehållstyp

QH455 (LCC)
QU 450 (NLM)
576.5/8 (DDC)
Ueab (kssb/8 (machine generated))

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