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tbea: tools for pre- and post-processing in Bayesian evolutionary analyses

dc.contributor.authorChaparro, Gustavo Adolfo Ballen
dc.contributor.authorReinales, Sandra
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)pt
dc.date.accessioned2026-08-26T17:13:18Z
dc.date.issued2024-06-19
dc.description.abstractAbstract 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.affiliationInstituto de Biociências de Botucatu, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, SP, Brazil
dc.description.affiliationDepartamento de Botânica, Instituto de Biociências, Universidade de São Paulo, SP, Brazil
dc.description.affiliationUnespInstituto de Biociências de Botucatu, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1173044321
dc.identifier.dimensionspub.1173044321
dc.identifier.doi10.1101/2024.06.18.599561
dc.identifier.issn2692-8205
dc.identifier.orcid0000-0001-5424-8608
dc.identifier.orcid0000-0003-3071-9190
dc.identifier.urihttps://hdl.handle.net/11449/330227
dc.publisherCold Spring Harbor Laboratory
dc.relation.ispartofbioRxiv; p. 2024.06.18.599561
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgreen
dc.sourceDimensions
dc.titletbea: tools for pre- and post-processing in Bayesian evolutionary analyses
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationab63624f-c491-4ac7-bd2c-767f17ac838d
relation.isOrgUnitOfPublication.latestForDiscoveryab63624f-c491-4ac7-bd2c-767f17ac838d
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt

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