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Simulation of Molecular Data under Diverse Evolutionary Scenarios

Arenas, Miguel Lewitter, Fran (Editor)

PLoS Computational Biology, 2012, Vol.8(5), p.e1002495 [Peer Reviewed Journal]

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  • Title:
    Simulation of Molecular Data under Diverse Evolutionary Scenarios
  • Author: Arenas, Miguel
  • Lewitter, Fran (Editor)
  • Subjects: Education ; Biology ; Genetics And Genomics ; Computational Biology ; Evolutionary Biology
  • Is Part Of: PLoS Computational Biology, 2012, Vol.8(5), p.e1002495
  • Description: [...]a wide variety of tools have been developed to simulate sequence data under different substitution models of evolution, but also under different evolutionary processes such as selection, recombination, demographics, population structure, and migration. The forward-time approach simulates the evolutionary history of an entire population from the past to the present and allows the success of a lineage to be a function of the genotype (see reviews, [13], [14], [80]). [...]these simulations consider all ancestral information and therefore can be useful to fully study the subsequent evolutionary process of the population, including gene-gene interactions, mating systems, complex migration models (such as sex biased dispersal or long-distance dispersal), or complex selection (e.g., [42], [81], [82]); beginners may explore these basic concepts using educational simulations [83], [84].
  • Language: English
  • Identifier: ISSN: 1553-734X ; E-ISSN: 1553-7358 ; DOI: 10.1371/journal.pcbi.1002495

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