tbea: tools for pre- and post-processing in Bayesian evolutionary analyses
| dc.contributor.author | Chaparro, Gustavo Adolfo Ballen | |
| dc.contributor.author | Reinales, Sandra | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | pt |
| dc.date.accessioned | 2026-08-26T17:13:18Z | |
| dc.date.issued | 2024-06-19 | |
| dc.description.abstract | Abstract Estimating phylogenies in which branch lengths are expressed in units of absolute time is crucial for testing hypotheses in evolutionary biology. However, bioinformatic tools to pre- and post-process data from Bayesian divergence time estimation analyses are often not easily interoperable, and documenting methodological choices is not a generalized practice. The R package tbea is a tool-set to integrate biological, geological and palaeontological information to optimize the specification of models, their parameters and prior distributions in divergence times estimation analyses. tbea implements statistical models to (i) better translate time information in dating sources into the specified calibration densities, (ii) improve comparisons between prior and posterior distributions for parameters of interest, (iii) carry out inference on origination times for a set of distributions, (iv) summarise different distributions into a single one, and (v) improve the reproducibility of divergence time estimation analyses allowing users to document methodological choices. We illustrate the package functionalities by carrying out two worked examples. One on the phylogenetic relationships and divergence time estimation of South American Cynodontidae, and another one on the separation time of drainages East and West of the Andes in South America. It is expected that the tools herein available will be key when estimating events in time from sets of point estimates, as well as the combination of different posterior densities from the same parameter are useful to justifying the selection of secondary calibration points, or discussing the timing of biogeographic events when multiple sources are available. | |
| dc.description.affiliation | Instituto de Biociências de Botucatu, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, SP, Brazil | |
| dc.description.affiliation | Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, SP, Brazil | |
| dc.description.affiliationUnesp | Instituto de Biociências de Botucatu, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, SP, Brazil | |
| dc.identifier | https://app.dimensions.ai/details/publication/pub.1173044321 | |
| dc.identifier.dimensions | pub.1173044321 | |
| dc.identifier.doi | 10.1101/2024.06.18.599561 | |
| dc.identifier.issn | 2692-8205 | |
| dc.identifier.orcid | 0000-0001-5424-8608 | |
| dc.identifier.orcid | 0000-0003-3071-9190 | |
| dc.identifier.uri | https://hdl.handle.net/11449/330227 | |
| dc.publisher | Cold Spring Harbor Laboratory | |
| dc.relation.ispartof | bioRxiv; p. 2024.06.18.599561 | |
| dc.rights.accessRights | Acesso aberto | pt |
| dc.rights.sourceRights | oa_all | |
| dc.rights.sourceRights | green | |
| dc.source | Dimensions | |
| dc.title | tbea: tools for pre- and post-processing in Bayesian evolutionary analyses | |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | ab63624f-c491-4ac7-bd2c-767f17ac838d | |
| relation.isOrgUnitOfPublication.latestForDiscovery | ab63624f-c491-4ac7-bd2c-767f17ac838d | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatu | pt |
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