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Taming the BEAST-A Community Teaching Material Resource for BEAST 2.
Barido-Sottani, Joëlle; Bosková, Veronika; Plessis, Louis Du; Kühnert, Denise; Magnus, Carsten; Mitov, Venelin; Müller, Nicola F; PecErska, Julija; Rasmussen, David A; Zhang, Chi; Drummond, Alexei J; Heath, Tracy A; Pybus, Oliver G; Vaughan, Timothy G; Stadler, Tanja.
Afiliação
  • Barido-Sottani J; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Bosková V; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
  • Plessis LD; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Kühnert D; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
  • Magnus C; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Mitov V; Department of Zoology, University of Oxford, Peter Medawar Building South Parks Road Oxford, OX1 3SY, UK.
  • Müller NF; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • PecErska J; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
  • Rasmussen DA; Department of Environmental Sciences, ETH Zürich, Universitätsstrasse 16, 8092 Zürich, Switzerland.
  • Zhang C; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Drummond AJ; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
  • Heath TA; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Pybus OG; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
  • Vaughan TG; Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • Stadler T; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Genopode, 1015 Lausanne, Switzerland.
Syst Biol ; 67(1): 170-174, 2018 01 01.
Article em En | MEDLINE | ID: mdl-28673048
Phylogenetics and phylodynamics are central topics in modern evolutionary biology. Phylogenetic methods reconstruct the evolutionary relationships among organisms, whereas phylodynamic approaches reveal the underlying diversification processes that lead to the observed relationships. These two fields have many practical applications in disciplines as diverse as epidemiology, developmental biology, palaeontology, ecology, and linguistics. The combination of increasingly large genetic data sets and increases in computing power is facilitating the development of more sophisticated phylogenetic and phylodynamic methods. Big data sets allow us to answer complex questions. However, since the required analyses are highly specific to the particular data set and question, a black-box method is not sufficient anymore. Instead, biologists are required to be actively involved with modeling decisions during data analysis. The modular design of the Bayesian phylogenetic software package BEAST 2 enables, and in fact enforces, this involvement. At the same time, the modular design enables computational biology groups to develop new methods at a rapid rate. A thorough understanding of the models and algorithms used by inference software is a critical prerequisite for successful hypothesis formulation and assessment. In particular, there is a need for more readily available resources aimed at helping interested scientists equip themselves with the skills to confidently use cutting-edge phylogenetic analysis software. These resources will also benefit researchers who do not have access to similar courses or training at their home institutions. Here, we introduce the "Taming the Beast" (https://taming-the-beast.github.io/) resource, which was developed as part of a workshop series bearing the same name, to facilitate the usage of the Bayesian phylogenetic software package BEAST 2.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Materiais de Ensino / Software / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Materiais de Ensino / Software / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article