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
| Maintainer | Emily Isenhart <emily.isenhart@roswellpark.org> |
| Author | Emily Isenhart [aut, cre], Spencer Rosario [aut] |
| License | Artistic-2.0 |
| System Requirements | Cytoscape (>= 3.9.0) for the cytoPath() examples |
| Downloads rank | 232 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, KEGG, Metabolomics, Microarray, Pathways, RNASeq, Sequencing, Software |
Documentation
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Dependencies
Depends: R (>= 4.2.0)
Imports: utils, ggplot2, ggrepel, stringr, pheatmap, grDevices, stats, clusterProfiler, RecordLinkage, RCy3
Suggests: BiocStyle, knitr, rmarkdown, kableExtra