This is the development version of PathoStat; for the stable release version, see PathoStat.
PathoStat Statistical Microbiome Analysis PackageBioconductor version: Development (3.22)
The purpose of this package is to perform Statistical Microbiome Analysis on metagenomics results from sequencing data samples. In particular, it supports analyses on the PathoScope generated report files. PathoStat provides various functionalities including Relative Abundance charts, Diversity estimates and plots, tests of Differential Abundance, Time Series visualization, and Core OTU analysis.
Author: Solaiappan Manimaran <manimaran_1975 at hotmail.com>, Matthew Bendall <bendall at gwmail.gwu.edu>, Sandro Valenzuela Diaz <sandrolvalenzuelad at gmail.com>, Eduardo Castro <castronallar at gmail.com>, Tyler Faits <tfaits at gmail.com>, Yue Zhao <jasonzhao0307 at gmail.com>, Anthony Nicholas Federico <anfed at bu.edu>, W. Evan Johnson <wej at bu.edu>
Maintainer: Solaiappan Manimaran <manimaran_1975 at hotmail.com>, Yue Zhao <jasonzhao0307 at gmail.com>
Citation (from within R, entercitation("PathoStat")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("PathoStat")
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("PathoStat")
Details biocViews GraphAndNetwork, ImmunoOncology, Metagenomics, Microarray, Microbiome, PatternLogic, PrincipalComponent, RNASeq, Sequencing, Software, Visualization Version 1.35.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License GPL (>= 2) Depends R (>= 3.5) Imports limma, corpcor, matrixStats, reshape2, scales, ggplot2, rentrez, DT, tidyr, plyr, dplyr, phyloseq, shiny, stats, methods, XML, graphics, utils, BiocStyle, edgeR, DESeq2, ComplexHeatmap, plotly, webshot, vegan, shinyjs, glmnet, gmodels, ROCR, RColorBrewer, knitr, devtools, ape System Requirements URL https://github.com/mani2012/PathoStat Bug Reports https://github.com/mani2012/PathoStat/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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