PrioriTree: a utility for improving phylodynamic analyses in BEAST.
Bioinformatics
; 39(1)2023 01 01.
Article
em En
| MEDLINE
| ID: mdl-36592035
ABSTRACT
SUMMARY:
Phylodynamic methods are central to studies of the geographic and demographic history of disease outbreaks. Inference under discrete-geographic phylodynamic models-which involve many parameters that must be inferred from minimal information-is inherently sensitive to our prior beliefs about the model parameters. We present an interactive utility, PrioriTree, to help researchers identify and accommodate prior sensitivity in discrete-geographic inferences. Specifically, PrioriTree provides a suite of functions to generate input files for-and summarize output from-BEAST analyses for performing robust Bayesian inference, data-cloning analyses and assessing the relative and absolute fit of candidate discrete-geographic (prior) models to empirical datasets. AVAILABILITY AND IMPLEMENTATION PrioriTree is distributed as an R package available at https//github.com/jsigao/prioritree, with a comprehensive user manual provided at https//bookdown.org/jsigao/prioritree_manual/.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article