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From complexity to clarity: Building dashboards for hit selection in high throughput screens
Karla J Cowley1, Hermione Allen1, Kaylene J Simpson1
1Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.
SLAS Discovery : Advancing Life Sciences R & D
|July 20, 2026
Summary
This study introduces R Markdown templates for creating interactive dashboards to simplify high throughput screening data analysis. These customizable dashboards enable flexible hit selection for researchers with basic R knowledge.
Area of Science:
- Biochemistry
- Computational Biology
- Drug Discovery
Background:
- High throughput screening (HTS) generates complex datasets, hindering efficient hit identification without programming skills.
- Existing software solutions often lack flexibility or require expensive infrastructure.
- Interactive dashboards offer a powerful alternative for dynamic data exploration and visualization.
Purpose of the Study:
- To develop user-friendly, customizable R Markdown-based templates for creating interactive dashboards for HTS data analysis.
- To provide a flexible and adaptable framework for hit selection in HTS applications.
- To enable researchers with basic R experience to perform advanced data analysis.
Main Methods:
- Utilized R Markdown, flexdashboard, and crosstalk R packages to build modular HTML dashboards.
- Integrated HTML widgets for linked visualizations and interactive filtering.
- Developed templates supporting threshold-based filtering (Z-score, p-value, fold change).
Main Results:
- Created lightweight, easily deployable HTML dashboards requiring no specialized software installation.
- Demonstrated support for linked visualizations and interactive data exploration within a single interface.
- Enabled rapid and flexible hit selection for diverse HTS datasets.
Conclusions:
- The R Markdown-based dashboard framework offers an accessible and efficient solution for HTS data analysis and hit selection.
- This approach empowers researchers with basic R proficiency to overcome challenges in interrogating large screening datasets.
- The standalone HTML output facilitates easy sharing and collaboration.
