Selected article for: "large sample size and sample size"
Author: MYRRHA, Luciana Wanderley; SILVA, Fernanda Miquelitto Figueira; VIDIGAL, Pedro Marcus Pereira; RESENDE, Maurício; BRESSAN, Gustavo Costa; FIETTO, Juliana Lopes Rangel; SANTOS, Marcus Rebouças; SILVA, Laura Morais Nascimento; ASSAO, Viviane Sisdelli; SILVA-JÚNIOR, Abelardo; de ALMEIDA, Márcia Rogéria
Title: Feline coronavirus isolates from a part of Brazil: insights into molecular epidemiology and phylogeny inferred from the 7b gene
  • Document date: 2019_8_23
    • ID: 1s25r3o0_12
    Snippet: To estimate 7b gene mutation rates, the years of collection of FCoV isolates were retrieved from GenBank. Three molecular clock model assumptions (strict-clock, Bayesian-relaxed exponential molecular clock, and Bayesian-relaxed lognormal molecular clock) were tested. In each test, a MCMC run (1,000,000,000 generations) was performed considering TPM3uf+I+G as the substitution model, the respective molecular clock model assumption, and BSP as a coa.....
    Document: To estimate 7b gene mutation rates, the years of collection of FCoV isolates were retrieved from GenBank. Three molecular clock model assumptions (strict-clock, Bayesian-relaxed exponential molecular clock, and Bayesian-relaxed lognormal molecular clock) were tested. In each test, a MCMC run (1,000,000,000 generations) was performed considering TPM3uf+I+G as the substitution model, the respective molecular clock model assumption, and BSP as a coalescent tree prior. The high number of generations was selected to reach a large effective sample size (ESS>200). For this purpose, analyses were processed on graphics processing units (GPUs) in a computational cluster at UFV, using BEAGLE v1.0 (http://code.google.com/p/beagle-lib/) with BEAST v1.7.2.

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