BiomeHorizon
BiomeHorizon visualizes longitudinal microbiome compositional dynamics using horizon plots to display relative and absolute changes in microbial taxa across subjects.
Key Features:
- Horizon Plot Visualization: Uses horizon plots to display proportional and absolute changes in microbial taxa abundances over time.
- Longitudinal Compositional Data Analysis: Handles longitudinal compositional microbiome data to track community dynamics across time points.
- Multi-taxa and Multi-subject Comparison: Displays multiple taxa across multiple subjects to facilitate comparison of temporal abundance patterns and inter-individual variability.
- R Package Implementation: Implemented as an R package for analysis and visualization of microbiome time-series data.
Scientific Applications:
- Microbiome Research: Analyzing temporal changes in microbial community composition in longitudinal studies.
- Comparative Studies: Comparing taxa abundance trajectories across subjects to identify common trends and inter-individual differences.
Methodology:
Employs horizon plots to visualize longitudinal compositional microbiome time-series data, representing both relative and absolute changes in taxa abundance across subjects; implemented as an R package.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/28/2022
- Last Updated:
- 1/28/2022
Operations
Publications
Fink I, Abdill RJ, Blekhman R, Grieneisen L. BiomeHorizon: visualizing microbiome time series data in R. Unknown Journal. 2021. doi:10.1101/2021.08.29.458140.