ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity
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View abstract on PubMed
Summary
This summary is machine-generated.ggalign is a new R package for visualizing complex biological data. It offers flexible, composable visualizations for multi-omics research, improving data interpretation and presentation.
Area Of Science
- Bioinformatics
- Computational Biology
- Data Visualization
Background
- Omics data complexity necessitates advanced visualization tools.
- Existing tools have limitations in flexibility and extensibility for multi-omics data.
Purpose Of The Study
- Introduce ggalign, an R package extending ggplot2 for composable visualization.
- Provide a flexible and extensible framework for exploring and communicating complex biological datasets.
Main Methods
- ggalign offers modular, data-aware layouts (circular, stacked, quadrant-based).
- Supports representation of one-to-many and many-to-one data relationships.
- Features novel linking mechanisms for interconnections across heterogeneous data types.
Main Results
- ggalign enhances interpretability of high-dimensional datasets through reordering and grouping.
- Demonstrates versatility in genomic and microbiome case studies.
- Facilitates exploratory data analysis and publication-ready presentations.
Conclusions
- ggalign provides a versatile and reproducible solution for multi-omics research.
- Integrates diverse data relationships and types effectively.
- Addresses the growing demand for flexible and extensible visualization tools.
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