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

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