PLoS ONE · 2020 · 46 citations · 17 references
Life SciencesBiologyGeneticsInsect SystematicsPhylogeneticsSequence AnalysisInsect PhylogeneticsMolecular PhylogenyPhylogenetic AnalysisPhylogenetic Sequence AnalysisPhylogenetic Tree ReconstructionDna Sequence Data AnalysisOpen-source Software DevelopmentPhylogenetic Haplotype AnalysisPhylogenetic Sequence Visualization
Phylogenetic analyses can provide a wealth of information about the past demography of a population and the level of genetic diversity within and between species. By using special computer programs developed in recent years, large amounts of data have been produced in the molecular genetics area. To analyze these data, powerful new methods based on large computations have been applied in various software packages and programs. But these programs have their own specific input and output formats, and users need to create different input formats for almost every program. R is an open source software environment, and it supports open contribution and modification to its libraries. Furthermore, it is also possible to perform several analyses using a single input file format. In this article, by using the multiple sequences FASTA format file (.fas extension) we demonstrate and share a workflow of how to extract haplotypes and perform phylogenetic analyses and visualizations in R. As an example dataset, we used 120 Bombus terrestris dalmatinus mitochondrial cytochrome b gene (cyt b) sequences (373 bp) collected from eight different beehives in Antalya. This article presents a short guide on how to perform phylogenetic analyses using R and RStudio.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Guangchuang Yu, David K. Smith, Huachen Zhu et al. · Methods in Ecology and Evolution · 2016 · 5.2K citations · Full text