Selected article for: "credibility tree and Markov chain"
Author: Maciej F Boni; Philippe Lemey; Xiaowei Jiang; Tommy Tsan-Yuk Lam; Blair Perry; Todd Castoe; Andrew Rambaut; David L Robertson
Title: Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
  • Document date: 2020_3_31
    • ID: h2uc7ria_52
    Snippet: Posterior distributions were approximated through Markov chain Monte Carlo sampling, which were run sufficiently long to ensure effective sampling sizes > 100. BEAST inferences made use of the BEAGLEv3 library (Yres et al., 2019) for efficient likelihood computations. We used TreeAnnotator to summarize the posterior tree distributions and annotated the estimated to a maximum clade credibility tree, which was visualized using FigTree......
    Document: Posterior distributions were approximated through Markov chain Monte Carlo sampling, which were run sufficiently long to ensure effective sampling sizes > 100. BEAST inferences made use of the BEAGLEv3 library (Yres et al., 2019) for efficient likelihood computations. We used TreeAnnotator to summarize the posterior tree distributions and annotated the estimated to a maximum clade credibility tree, which was visualized using FigTree.

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