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RASP (Reconstruct Ancestral State in Phylogenies): a tool for historical biogeography.
Yu, Yan; Harris, Alan J; Blair, Christopher; He, Xingjin.
Afiliação
  • Yu Y; Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, PR China; Department of Biology, Duke University, Box 90338, BioSci 130 Science Drive, Durham, NC 27708, USA.
  • Harris AJ; Department of Botany, Oklahoma State University, 301 Physical Science, Stillwater, OK 74078-3013, USA. Electronic address: aj.harris@okstate.edu.
  • Blair C; Department of Biology, Duke University, Box 90338, BioSci 130 Science Drive, Durham, NC 27708, USA; Department of Biological Sciences, New York City College of Technology, The City University of New York, 300 Jay Street, Brooklyn, NY 11201, USA.
  • He X; Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, PR China. Electronic address: xjhe@scu.edu.cn.
Mol Phylogenet Evol ; 87: 46-9, 2015 Jun.
Article em En | MEDLINE | ID: mdl-25819445
ABSTRACT
We announce the release of Reconstruct Ancestral State in Phylogenies (RASP), a user-friendly software package for inferring historical biogeography through reconstructing ancestral geographic distributions on phylogenetic trees. RASP utilizes the widely used Statistical-Dispersal Vicariance Analysis (S-DIVA), the Dispersal-Extinction-Cladogenesis (DEC) model (Lagrange), a Statistical DEC model (S-DEC) and BayArea. It provides a graphical user interface (GUI) to specify a phylogenetic tree or set of trees and geographic distribution constraints, draws pie charts on the nodes of a phylogenetic tree to indicate levels of uncertainty, and generates high-quality exportable graphical results. RASP can run on both Windows and Mac OS X platforms. All documentation and source code for RASP is freely available at http//mnh.scu.edu.cn/soft/blog/RASP.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Software / Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Software / Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article