GOplot
GOplot visualizes functional enrichment analysis results from omics data by generating multilayered plots (bar, bubble, circle, chord, and cluster) that relate molecules to functional categories.
Key Features:
- Multilevel Visualization: Provides bar plots, bubble plots, circle plots, chord plots, and cluster plots to represent both overview and detailed molecule–function relationships.
- Integration with Enrichment Analysis: Accepts outputs from general functional enrichment analyses and transforms them into visual representations.
- ggplot2-based Implementation: Implemented in R as an extension of the ggplot2 framework to leverage its graphical capabilities for customizable plotting.
- Omics Data Focus: Targets visualization of functional analysis results derived from omics datasets.
Scientific Applications:
- Functional analysis in bioinformatics and systems biology: Visualizes enriched categories and relationships identified in omics-based functional analyses.
- Interpretation of complex datasets and pathway identification: Aids interpretation of complex omics datasets and identification of significant biological pathways.
- Exploratory analysis and figure preparation: Supports exploratory data analysis and the preparation of figures for publications and presentations.
Methodology:
Transforms functional enrichment analysis outputs into multilayered plots using ggplot2.
Topics
Details
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Walter W, Sánchez-Cabo F, Ricote M. GOplot: an R package for visually combining expression data with functional analysis. Bioinformatics. 2015;31(17):2912-2914. doi:10.1093/bioinformatics/btv300. PMID:25964631.
PMID: 25964631
Documentation
General
https://wencke.github.io/