This is the released version of PhyloProfile; for the devel version, see PhyloProfile.
PhyloProfileBioconductor version: Release (3.21)
PhyloProfile is a tool for exploring complex phylogenetic profiles. Phylogenetic profiles, presence/absence patterns of genes over a set of species, are commonly used to trace the functional and evolutionary history of genes across species and time. With PhyloProfile we can enrich regular phylogenetic profiles with further data like sequence/structure similarity, to make phylogenetic profiling more meaningful. Besides the interactive visualisation powered by R-Shiny, the package offers a set of further analysis features to gain insights like the gene age estimation or core gene identification.
Author: Vinh Tran [aut, cre] ORCID: 0000-0001-6772-7595 , Bastian Greshake Tzovaras [aut], Ingo Ebersberger [aut], Carla Mölbert [ctb]
Maintainer: Vinh Tran <tran at bio.uni-frankfurt.de>
Citation (from within R, entercitation("PhyloProfile")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PhyloProfile")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PhyloProfile")
Details biocViews DataRepresentation, DimensionReduction, FunctionalPrediction, MultipleComparison, Software, Visualization Version 2.0.6 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License MIT + file LICENSE Depends R (>= 4.5.0) Imports ape, bioDist, BiocStyle, Biostrings, colourpicker, data.table, dplyr, DT, energy, extrafont, fastcluster, ggplot2, gridExtra, htmlwidgets, pbapply, plotly, RColorBrewer, RCurl, Rfast, scattermore, shiny, shinyBS, shinycssloaders, shinyFiles, shinyjs, stringr, tsne, svglite, umap, xml2, zoo, yaml System Requirements URL https://github.com/BIONF/PhyloProfile/ Bug Reports https://github.com/BIONF/PhyloProfile/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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