MetaPhOR

DOI: 10.18129/B9.bioc.MetaPhOR    

Metabolic Pathway Analysis of RNA

Bioconductor version: Release (3.16)

MetaPhOR was developed to enable users to assess metabolic dysregulation using transcriptomic-level data (RNA-sequencing and Microarray data) and produce publication-quality figures. A list of differentially expressed genes (DEGs), which includes fold change and p value, from DESeq2 or limma, can be used as input, with sample size for MetaPhOR, and will produce a data frame of scores for each KEGG pathway. These scores represent the magnitude and direction of transcriptional change within the pathway, along with estimated p-values.MetaPhOR then uses these scores to visualize metabolic profiles within and between samples through a variety of mechanisms, including: bubble plots, heatmaps, and pathway models.

Author: Emily Isenhart [aut, cre], Spencer Rosario [aut]

Maintainer: Emily Isenhart <emily.isenhart at roswellpark.org>

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

Installation

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

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

BiocManager::install("MetaPhOR")

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("MetaPhOR")

 

HTML R Script MetaPhOR
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, KEGG, Metabolomics, Microarray, Pathways, RNASeq, Sequencing, Software
Version 1.0.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
License Artistic-2.0
Depends R (>= 4.2.0)
Imports utils, ggplot2, ggrepel, stringr, pheatmap, grDevices, stats, clusterProfiler, RecordLinkage, RCy3
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, kableExtra
SystemRequirements Cytoscape (>= 3.9.0) for the cytoPath() examples
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 MetaPhOR_1.0.0.tar.gz
Windows Binary MetaPhOR_1.0.0.zip
macOS Binary (x86_64) MetaPhOR_1.0.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/MetaPhOR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MetaPhOR
Package Short Url https://bioconductor.org/packages/MetaPhOR/
Package Downloads Report Download Stats

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