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Relevant parameters were summarized as the median of posterior distributions by Bayesian coalescent Markov chain Monte Carlo algorithm implement in the Bayesian Evolutionary Sampling Trees (B EAST) software package version 1.4.8 [ 31].
Through evolutionary sampling of intervening less-conserved residues, individual toxins have gained the ability to engage in specific interactions by long-range electrostatic interactions and a few subtype-specific close contacts, thereby ensuring efficient channel block.
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This paper presents an evolutionary nested sampling (ENS) algorithm to promote the proposal of effective samples for Bayesian model updating and model selection by introducing evolutionary operators into standard NS.
Phylogenetic dating was conducted by using Bayesian evolutionary analysis sampling trees (BEAST) (22 ).
To estimate the species and population tree we used the program *BEAST v1.5.4 (Bayesian Evolutionary Analysis Sampling Trees) [ 46].
To reconstruct the phylogeny of populations, the combined data of both cp- and nrDNA sequences were analyzed by the program *BEAST v1.5.4 (Bayesian Evolutionary Analysis Sampling Trees)[ 78].
*BEAST, Bayesian evolutionary analysis sampling trees; dN/dS, nonsynonymous/synonymous substitutions per site; SLAC, single-likelihood ancestor counting; CP, codon position.
The estimation of divergence times in the inferred phylogeny was carried out using BEAST (Bayesian evolutionary analysis sampling trees) 1.8.0 [ 38] on a reduced dataset that included the family Bryconidae and representatives of the families Gasteropelecidae and Triportheidae.
A Bayesian maximum clade credibility (MCC) phylogenetic tree was constructed by using Bayesian Markov chain Monte Carlo (MCMC) analysis and Bayesian evolutionary analysis sampling trees (BEAST) software package v1.8.0 (23 ), and BEAST runs were performed by using the CIPRES Science Gateway (24 ).
We used Dataset2 (five DNA regions and 109 accessions) and the computer program Bayesian Evolutionary Analysis Sampling Trees (BEAST) 1.6.1 [ 21] for estimating the posterior probability distribution of divergence times in Serpulaceae.
The divergence time for the M. cephalus COI gene was estimated using Bayesian Evolutionary Analysis Sampling Trees (BEAST) ver. 1.5.2 [ 34] with 20 million steps in a Monte Carlo Markov Chain (MCMC) simulation (2 million step burn-in time).
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