gganatogram
gganatogram visualizes anatomical structures (anatograms) by mapping data-frame-specified tissue values onto species-specific diagrams using ggplot2 and anatograms from the Expression Atlas to support tissue-level data interpretation.
Key Features:
- Modular visualization: Generates customizable anatograms from a tabular data frame and supports visualization of datasets such as gene expression, pharmacokinetics, and bacterial load.
- Graphics backend and data sources: Integrates ggplot2's graphical grammar with publicly available anatograms sourced from the Expression Atlas.
- Species coverage: Provides highly annotated anatomical structures for male and female humans and mice plus a cell anatogram, and less-detailed anatograms for 24 additional animal and plant species.
- Data-driven customization and reproducibility: Allows specification of tissues, groupings, colors, and values within the data frame to produce reproducible visual outputs.
Scientific Applications:
- Genomics: Visualize tissue-specific gene expression patterns across annotated anatomical structures.
- Pharmacology: Represent pharmacokinetic and tissue-distribution data on anatomical diagrams.
- Microbiology: Map bacterial load or other microbial measures across tissues.
- Comparative anatomy: Support comparative studies by providing anatograms across multiple species including human, mouse, and 24 additional species.
- Data interpretation and hypothesis generation: Aid interpretation of tissue-level datasets and support hypothesis generation and testing.
Methodology:
Combines the graphical grammar of ggplot2 with anatomical data from the Expression Atlas and maps data-frame-specified values onto species-specific annotated anatograms.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library, web application
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R
- Added:
- 8/11/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Maag JL. gganatogram: An R package for modular visualisation of anatograms and tissues based on ggplot2. F1000Research. 2018;7:1576. doi:10.12688/f1000research.16409.2. PMID:30467523. PMCID:PMC6208569.
Documentation
Downloads
Links
Issue tracker
https://github.com/jespermaag/gganatogram/issues