StaggR: an interactive R/Shiny application for planning and visualizing staggered experimental protocols

Area of Science:

• Life Sciences
• Biotechnology
• Experimental Biology

Background:

• Biological experiments demand precise temporal control for accurate results.
• Staggering treatments for parallel processing is complex, especially with numerous samples and operations.
• Identifying valid treatment regimens for parallel workflows is challenging and prone to errors.

Purpose of the Study:

• To develop an interactive web application, StaggR, for calculating and visualizing compatible staggering intervals in parallelized experimental workflows.
• To provide a user-friendly tool for experimentalists to manage complex, time-sensitive biological experiments.
• To enhance the reproducibility and efficiency of high-throughput biological research.

Main Methods:

• Developed StaggR, an interactive web application with a user-friendly interface.
• Implemented functionality to define protocol operations, durations, and wait times.
• Enabled automatic calculation of conflict-free staggering intervals and simulation of user-defined intervals.
• Integrated a built-in timer for live schedule updates and features for saving/re-importing experimental designs.

Main Results:

• StaggR successfully calculates and visualizes compatible staggering intervals for parallel workflows.
• The application allows for rapid generation of color-coded experimental schedules.
• Users can visualize workflows in an easy-to-read chart and execute them with live updates.
• Experimental designs are saved, shared, and re-imported, ensuring reproducibility.

Conclusions:

• StaggR simplifies the design and execution of complex, parallelized biological experiments.
• The tool enhances experimental throughput and maximizes reproducibility.
• StaggR empowers researchers of all experience levels to manage intricate experimental timelines effectively.