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Etienne, R. S.

Publications and source records attributed to Etienne, R. S..

20 records · Page 2Linked to original sources

Additional analytical support for a new method to compute the likelihood of diversification models

Molecular phylogenies have been increasingly recognized as an important source of information on species diversification. For many models of macro-evolution, analytical likelihood formulas have been derived to infer macro-evolutionary parameters from phylogenies. A few years ago, a general framework to numerically compute such likelihood formulas was proposed, which accommodates models that allow speciation and/or extinction rates to depend on diversity. This framework calculates the likelihood as the probability of the diversification process being consistent with the phylogeny from the root to the tips. However, while some readers found the framework presented in Etienne et al. (2012) convincing, others still questioned it (personal communication), despite numerical evidence that for special cases the framework yields the same (i.e. within double precision) numerical value for the likelihood as analytical formulas do that were independently derived for these special cases. Here we prove analytically that the likelihoods calculated in the new framework are correct for all special cases with known analytical likelihood formula. Our results thus add substantial mathematical support for the overall coherence of the general framework.

evolutionary biology↗

babette: BEAUti 2, BEAST2 and Tracer for R

SummaryO_LIIn the field of phylogenetics, BEAST2 is one of the most widely used software tools. It comes with the graphical user interfaces BEAUti 2, DensiTree and Tracer, to create BEAST2 configuration files and to interpret BEAST2s output files. However, when many different alignments or model setups are required, a workflow of graphical user interfaces is cumbersome.\nC_LIO_LIHere, we present a free, libre and open-source package, babette: BEAUti 2, BEAST2 and Tracer for R, for the R programming language. babette creates BEAST2 input files, runs BEAST2 and parses its results, all from an R function call.\nC_LIO_LIWe describe babettes usage and the novel functionality it provides compared to the original tools and we give some examples.\nC_LIO_LIAs babette is designed to be of high quality and extendable, we conclude by describing the further development of the package.\nC_LI

bioinformatics↗