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BioCurve Analyzer: a web-based shiny app for analyzing biological response curves
Zenan Xing1,2, James Eckhardt3,4,5, Aditya S Vaidya3,4,6
1Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA. zxing001@ucr.edu.
Plant Methods
|April 27, 2025
Summary
BioCurve Analyzer simplifies estimating key biological parameters like effective dose 50 (ED50) and time to 50% response (T50) from complex dose-response and time-to-event data.
Area of Science:
- Encompasses enzymology, pharmacology, and agronomy.
- Focuses on biological response curve analysis.
Background:
- Dose-response and time-to-event data are prevalent in scientific research.
- Key parameters like ED50 and T50 are vital for interpreting biological activity and timing.
- Accurate estimation of these parameters is critical for scientific inference.
Purpose of the Study:
- To introduce BioCurve Analyzer, an open-source application for parameter inference.
- To simplify the analysis of diverse biological response curves, including sigmoidal and biphasic patterns.
Main Methods:
- Utilizes an open-source Shiny application, BioCurve Analyzer.
- Integrates multiple R packages and common modeling approaches.
- Offers tools for model selection, parameter estimation (including biphasic ED50), and data visualization.
Main Results:
- BioCurve Analyzer handles various response curve patterns, from simple sigmoidal to complex biphasic.
- Provides options for inferring ED50 on both sides of biphasic curves.
- Facilitates customized, publication-quality graph generation.
Conclusions:
- BioCurve Analyzer offers an integrated, user-friendly web interface.
- Streamlines dose-response and time-to-event analyses through R package integration.
