I have planned to use this blog for almost two years now but never got around to do it. But I have been playing around with RevBayes lately, and it seems to be one of the best tools for Bayesian phylogenetic analysis. Usually to do any phylogenetic analysis requires learning multiple programs (RAxML, MrBayes, BEAST, Garli) to reconstruct phylogenetic hypotheses with data (Morphological and/or Molecular). This involves a lot of time to learn how to run these programs properly. Once you have robust phylogeny, there are many different test/analyses that use this phylogeny to try to understand various aspect of evolution within your group of interest which also requires to learn many more additional programs. RevBayes, on the other hand, is a stand-alone environment for modeling, simulation and Bayesian inference in evolutionary biology under a phylogenetic framework. It was built to have a similar coding structure to R for ease of use. One of the best features of RevBayes is its generalized framework where everything is explicitly set, and there are no black elements. This allows for analyses that used to be done using different software packages to be all run using RevBayes.
To learn how to use RevBayes, I decided to start a long series of posts detailing my experiences with analyzing sequence data with RevBayes. For this series, I will be going step by step on how to conduct phylogenetic analysis. I will be heavily referencing the great tutorials provided in the RevBayes GitHub. In the next post, I will be model testing the different genes in my dataset using RevBayes.
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Welcome to my new website! I hope to post content that relates to my research and field collections in this blog.
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AuthorEntomologist, foodie, amateur weightlifter and dog lover. ArchivesCategories |