plotgardener
plotgardener enables coordinate-based programmatic generation of complex, multi-paneled genomic figures in R with precise control over plot placement, sizing, and arrangement.
Key Features:
- Coordinate-based positioning: Plots are placed using absolute coordinates rather than relative positioning, enabling precise control over figure layout.
- Multi-panel figure generation: Supports creation of complex, multi-paneled figures suitable for publication-quality scientific manuscript preparation.
- Genomic data visualization: Tailored for visualization of large complex genomic datasets.
- ggplot2 integration: Allows precise placement and sizing of ggplot2 plots within multi-panel layouts.
- Memory-efficient data access: Implements fast and memory-efficient data access for large datasets.
- Multiple data and file type support: Supports a wide variety of data and file types for genomic visualization.
- Bioconductor integration: Tightly integrated with the Bioconductor environment for genomic data analysis workflows.
Scientific Applications:
- Publication-quality figure preparation: Creation of precise multi-panel images for scientific manuscripts in genomics and related disciplines.
- Genomic dataset visualization: Visualization of large complex genomic datasets to transform raw data into meaningful biological conclusions.
- Cross-disciplinary data science: Multi-panel figure generation for R users and data scientists from virtually any discipline through ggplot2 compatibility.
Methodology:
plotgardener uses a coordinate-based paradigm for plot placement and sizing in R, with programmatic control over plot esthetics and arrangements.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 10/2/2026
Operations
Publications
Documentation
Downloads
- Source codehttps://github.com/PhanstielLab/plotgardener
- Source codehttps://phanstiellab.github.io/plotgardener