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Hotgenes: an R package for reducing bottlenecks in bulk omics data exploration and collaboration
1Drug Safety R&D, Pfizer Inc, San Diego, CA, United States.
Bioinformatics (Oxford, England)
|June 24, 2026
Summary
The Hotgenes R package streamlines omics data analysis by providing a modular Shiny application for data exploration and interpretation. It simplifies sharing differential expression results among collaborators, minimizing errors and delays in omics workflows.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Omics data analysis involves complex transitions from exploration to interpretation.
- Multiple analytical platforms and extensive data outputs can lead to errors and delays.
- Efficient data sharing and interpretation are crucial for collaborative omics research.
Purpose of the Study:
- To develop a user-friendly R package for omics data analysis.
- To facilitate the transition from data exploration to final interpretation.
- To minimize errors and delays in omics data workflows.
Main Methods:
- Development of an R package named Hotgenes.
- Implementation as a modular Shiny application.
- Inclusion of utilities for importing and sharing differential expression results.
Main Results:
- Hotgenes provides a unified platform for omics data analysis.
- Differential expression results from bulk omics platforms can be easily imported and shared.
- The modular interface allows customization for evolving research pipelines.
Conclusions:
- Hotgenes minimizes potential errors and delays in omics data analysis.
- The package enables efficient collaboration among researchers.
- Advanced users can customize Hotgenes for specific analytical needs.
