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MetaPhOR

Metabolic Pathway Analysis of RNA

Bioconductor version: 3.23 · Package version: 1.14.0

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.

Installation

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

BiocManager::install("MetaPhOR")

Details

MaintainerEmily Isenhart <emily.isenhart@roswellpark.org>
AuthorEmily Isenhart [aut, cre], Spencer Rosario [aut]
LicenseArtistic-2.0
System RequirementsCytoscape (>= 3.9.0) for the cytoPath() examples
Downloads rank232
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, KEGG, Metabolomics, Microarray, Pathways, RNASeq, Sequencing, Software

Documentation

Download

Dependencies

Depends: R (>= 4.2.0)

Imports: utils, ggplot2, ggrepel, stringr, pheatmap, grDevices, stats, clusterProfiler, RecordLinkage, RCy3

Suggests: BiocStyle, knitr, rmarkdown, kableExtra