Literature DB >> 20956243

SPLATCHE2: a spatially explicit simulation framework for complex demography, genetic admixture and recombination.

Nicolas Ray1, Mathias Currat, Matthieu Foll, Laurent Excoffier.   

Abstract

SUMMARY: SPLATCHE2 is a program to simulate the demography of populations and the resulting molecular diversity for a wide range of evolutionary scenarios. The spatially explicit simulation framework can account for environmental heterogeneity and fluctuations, and it can manage multiple population sources. A coalescent-based approach is used to generate genetic markers mostly used in population genetics studies (DNA sequences, SNPs, STRs or RFLPs). Various combinations of independent, fully or partially linked genetic markers can be produced under a recombination model based on the ancestral recombination graph. Competition between two populations (or species) can also be simulated with user-defined levels of admixture between the two populations. SPLATCHE2 may be used to generate the expected genetic diversity under complex demographic scenarios and can thus serve to test null hypotheses. For model parameter estimation, SPLATCHE2 can easily be integrated into an Approximate Bayesian Computation (ABC) framework.
AVAILABILITY AND IMPLEMENTATION: SPLATCHE2 is a C++ program compiled for Windows and Linux platforms. It is freely available at www.splatche.com, together with its related documentation and example data. CONTACT: mathias.currat@unige.ch

Mesh:

Substances:

Year:  2010        PMID: 20956243     DOI: 10.1093/bioinformatics/btq579

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  47 in total

Review 1.  The impact of recent events on human genetic diversity.

Authors:  Mark A Jobling
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-03-19       Impact factor: 6.237

2.  Genomic evidence of survival near ice sheet margins for some, but not all, North American trees.

Authors:  Jordan B Bemmels; L Lacey Knowles; Christopher W Dick
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-08       Impact factor: 11.205

3.  Likelihood-Free Inference in High-Dimensional Models.

Authors:  Athanasios Kousathanas; Christoph Leuenberger; Jonas Helfer; Mathieu Quinodoz; Matthieu Foll; Daniel Wegmann
Journal:  Genetics       Date:  2016-04-06       Impact factor: 4.562

4.  Reticulation, divergence, and the phylogeography-phylogenetics continuum.

Authors:  Scott V Edwards; Sally Potter; C Jonathan Schmitt; Jason G Bragg; Craig Moritz
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-19       Impact factor: 11.205

5.  Inferring responses to climate dynamics from historical demography in neotropical forest lizards.

Authors:  Ivan Prates; Alexander T Xue; Jason L Brown; Diego F Alvarado-Serrano; Miguel T Rodrigues; Michael J Hickerson; Ana C Carnaval
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-19       Impact factor: 11.205

6.  Long-distance dispersal suppresses introgression of local alleles during range expansions.

Authors:  C E G Amorim; T Hofer; N Ray; M Foll; A Ruiz-Linares; L Excoffier
Journal:  Heredity (Edinb)       Date:  2016-08-31       Impact factor: 3.821

7.  On the role played by the carrying capacity and the ancestral population size during a range expansion.

Authors:  S Mona
Journal:  Heredity (Edinb)       Date:  2016-09-07       Impact factor: 3.821

Review 8.  Microbial sequence typing in the genomic era.

Authors:  Marcos Pérez-Losada; Miguel Arenas; Eduardo Castro-Nallar
Journal:  Infect Genet Evol       Date:  2017-09-21       Impact factor: 3.342

9.  Strong reproductive isolation between humans and Neanderthals inferred from observed patterns of introgression.

Authors:  Mathias Currat; Laurent Excoffier
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-12       Impact factor: 11.205

10.  Efficient simulation of epistatic interactions in case-parent trios.

Authors:  Qing Li; Holger Schwender; Thomas A Louis; M Daniele Fallin; Ingo Ruczinski
Journal:  Hum Hered       Date:  2013-03-27       Impact factor: 0.444

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.