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Welly: a web-tool for visualizing growth curves from microplate data.

Felix Meier1,2, Tom Williams1,2, Ian Paulsen1,2

  • 1School of Natural Sciences, Macquarie University, Sydney 2109, Australia.

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Summary
This summary is machine-generated.

Welly is a new web tool for analyzing biological growth curves from multi-well plates. It offers easy data upload, visualization, and statistical analysis for researchers.

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Area of Science:

  • Synthetic biology
  • Biotechnology
  • Bioinformatics

Background:

  • Analyzing biological growth curves is crucial for understanding cellular processes.
  • Existing tools for growth curve analysis have limitations in terms of accessibility and functionality.
  • There is a need for user-friendly, web-based solutions for high-throughput growth curve analysis.

Purpose of the Study:

  • To introduce Welly, a novel web-based tool for the visualization and analysis of growth curves.
  • To provide an accessible and easy-to-use platform for researchers without extensive coding experience.
  • To address the limitations of current commercial and coding-based growth curve analysis tools.

Main Methods:

  • Welly accepts plate reader data in CSV or Excel formats.
  • Users can select sample names and replicates for analysis.
  • The tool generates interactive growth curves, heat maps, and downloadable statistics.

Main Results:

  • Welly simplifies the visualization of mean and standard deviation for triplicates.
  • It provides heat map visualizations of maximum growth values.
  • Downloadable publication-quality graphs and statistics (area under curve, max growth rate) are generated.

Conclusions:

  • Welly offers a user-friendly and accessible solution for growth curve analysis.
  • The tool enhances data visualization and statistical analysis capabilities for multi-well plate experiments.
  • Welly is freely available, promoting wider adoption and reproducibility in biological research.