PhosR

DOI: 10.18129/B9.bioc.PhosR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see PhosR.

A set of methods and tools for comprehensive analysis of phosphoproteomics data

Bioconductor version: 3.16

PhosR is a package for the comprenhensive analysis of phosphoproteomic data. There are two major components to PhosR: processing and downstream analysis. PhosR consists of various processing tools for phosphoproteomics data including filtering, imputation, normalisation, and functional analysis for inferring active kinases and signalling pathways.

Author: Pengyi Yang [aut], Taiyun Kim [aut, cre], Hani Jieun Kim [aut]

Maintainer: Taiyun Kim <taiyun.kim91 at gmail.com>

Citation (from within R, enter citation("PhosR")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PhosR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PhosR")

 

HTML R Script An introduction to PhosR package
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Proteomics, ResearchField, Software
Version 1.8.0
In Bioconductor since BioC 3.12 (R-4.0) (2.5 years)
License GPL-3 + file LICENSE
Depends R (>= 4.1.0)
Imports ruv, e1071, dendextend, limma, pcaMethods, stats, RColorBrewer, circlize, dplyr, igraph, pheatmap, preprocessCore, tidyr, rlang, graphics, grDevices, utils, SummarizedExperiment, methods, S4Vectors, BiocGenerics, ggplot2, GGally, ggdendro, ggpubr, network, reshape2, ggtext
LinkingTo
Suggests testthat, knitr, rgl, sna, ClueR, directPA, rmarkdown, org.Rn.eg.db, org.Mm.eg.db, reactome.db, annotate, BiocStyle, stringr, calibrate
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package PhosR_1.8.0.tar.gz
Windows Binary PhosR_1.8.0.zip
macOS Binary (x86_64) PhosR_1.8.0.tgz
macOS Binary (arm64) PhosR_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PhosR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PhosR
Bioc Package Browser https://code.bioconductor.org/browse/PhosR/
Package Short Url https://bioconductor.org/packages/PhosR/
Package Downloads Report Download Stats

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