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How well can the exponential-growth coalescent approximate constant-rate birth-death population dynamics?
Stadler, Tanja; Vaughan, Timothy G; Gavryushkin, Alex; Guindon, Stephane; Kühnert, Denise; Leventhal, Gabriel E; Drummond, Alexei J.
Afiliação
  • Stadler T; Department of Biosystems Science and Engineering, ETH Zürich, Zürich, Switzerland Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland tanja.stadler@bsse.ethz.ch.
  • Vaughan TG; Department of Computer Science, The University of Auckland, Auckland, New Zealand Allan Wilson Centre for Molecular Ecology and Evolution, Palmerston North, New Zealand Institute of Veterinary Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand.
  • Gavryushkin A; Department of Computer Science, The University of Auckland, Auckland, New Zealand.
  • Guindon S; Department of Statistics, The University of Auckland, Auckland, New Zealand LIRMM, UMR 5506, Montepellier, France.
  • Kühnert D; Department of Biosystems Science and Engineering, ETH Zürich, Zürich, Switzerland Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
  • Leventhal GE; Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
  • Drummond AJ; Department of Computer Science, The University of Auckland, Auckland, New Zealand Allan Wilson Centre for Molecular Ecology and Evolution, Palmerston North, New Zealand alexei@cs.auckland.ac.nz.
Proc Biol Sci ; 282(1806): 20150420, 2015 May 07.
Article em En | MEDLINE | ID: mdl-25876846

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coeficiente de Natalidade / Mortalidade / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Biol Sci Assunto da revista: BIOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coeficiente de Natalidade / Mortalidade / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Biol Sci Assunto da revista: BIOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Suíça