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MolPad: An R-Shiny Package for Cluster Co-Expression Analysis in Longitudinal Microbiomics
Biorxiv : the Preprint Server for Biology
|December 11, 2023
Summary
MolPad is a user-friendly R-Shiny dashboard for exploring longitudinal molecular co-expression in microbiomics. It visualizes complex relationships using networks and interactive plots, aiding microbiome data analysis.
Area of Science:
- Microbiology
- Bioinformatics
- Data Science
Background:
- Understanding longitudinal molecular co-expression in microbiomics is crucial for deciphering microbial community dynamics.
- Existing tools may lack user-friendliness or interactive visualization capabilities for complex co-expression patterns.
Approach:
- Developed MolPad, an R-Shiny package offering an interactive dashboard for microbiomics data.
- Employs a focus-plus-context strategy, utilizing network visualizations to identify major co-expression patterns.
- Integrates multiple plots (network, bar, line) and tables for comprehensive data exploration, with automated links to curated annotations.
Key Points:
- MolPad facilitates the overview of major co-expression patterns through network analysis.
- The dashboard allows users to zoom into specific clusters of interest for detailed investigation.
- Includes functions for data processing, making it accessible for users with limited R programming experience.
Conclusions:
- MolPad provides an effective and interactive platform for analyzing longitudinal molecular co-expression in microbiomics.
- The package simplifies the exploration of complex microbial community dynamics, demonstrated through a cheese microbiome case study.
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