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Marek Kimmel

Forward-Time Population Genetics Simulations

Methods, Implementation, and Applications

Ebook (PDF Format)

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 b… Mehr

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Produktdetails


Weitere Autoren: Amos, Christopher I. / Peng, Bo
  • ISBN: 978-1-118-18032-7
  • EAN: 9781118180327
  • Produktnummer: 13891790
  • Verlag: Wiley-Blackwell
  • Sprache: Englisch
  • Erscheinungsjahr: 2012
  • Seitenangabe: 256 S.
  • Plattform: PDF
  • Masse: 3'646 KB

Über den Autor


Bo Peng, PHD, is an assistant professor in the Department of Genetics at The University of Texas MD Anderson Cancer Center. With his degrees in applied mathematics and biostatistics, he is applying advanced computational techniques such as parallel computation and large-scale simulations to research topics in population genetics, genetic epidemiology, and bioinformatics. Marek Kimmel, PHD, is Director of the Doctoral Program in Bioinformatics and Statistical Genetics and head of the Bioinformatics Group at Rice University. He holds joint appointments as Professor of Statistics at Rice University, Professor of Biostatistics and Applied Mathematics at MD Anderson Cancer Center, and Professor of Biometry at The University of Texas School of Public Health. Christopher I. Amos, PHD, is a professor in the Department of Genetics at The University of Texas MD Anderson Cancer Center. He also holds adjunct appointments at Rice University and in the Department of Epidemiology at The University of Texas School of Public Health.

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