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SANTA-SIM: simulating viral sequence evolution dynamics under selection and recombination.
Jariani, Abbas; Warth, Christopher; Deforche, Koen; Libin, Pieter; Drummond, Alexei J; Rambaut, Andrew; Matsen Iv, Frederick A; Theys, Kristof.
Afiliação
  • Jariani A; Laboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.
  • Warth C; Laboratory for Systems Biology, VIB, Leuven, Belgium.
  • Deforche K; Program in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Libin P; Emweb, 3020 Herent, Belgium.
  • Drummond AJ; Laboratory Clinical and Evolutionary Virology, Rega Institute for Medical Research - KU Leuven, Leuven, Belgium.
  • Rambaut A; Artifical Intelligence Lab, Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium.
  • Matsen Iv FA; Centre for Computational Evolution, University of Auckland, Auckland, New Zealand.
  • Theys K; Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zurich, Basel, Switzerland.
Virus Evol ; 5(1): vez003, 2019 Jan.
Article em En | MEDLINE | ID: mdl-30863552
Simulations are widely used to provide expectations and predictive distributions under known conditions against which to compare empirical data. Such simulations are also invaluable for testing and comparing the behaviour and power of inference methods. We describe SANTA-SIM, a software package to simulate the evolution of a population of gene sequences forwards through time. It models the underlying biological processes as discrete components: replication, recombination, point mutations, insertion-deletions, and selection under various fitness models and population size dynamics. The software is designed to be intuitive to work with for a wide range of users and executable in a cross-platform manner.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article