BMC Bioinformatics (Feb 2022)

ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens

  • Cinzia Klemm,
  • Rowan S. M. Howell,
  • Peter H. Thorpe

DOI
https://doi.org/10.1186/s12859-022-04586-1
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 15

Abstract

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Abstract Background Colony growth on solid media is a simple and effective measure for high-throughput genomic experiments such as yeast two-hybrid, synthetic dosage lethality and Synthetic Physical Interaction screens. The development of robotic pinning tools has facilitated the experimental design of these assays, and different imaging software can be used to automatically measure colony sizes on plates. However, comparison to control plates and statistical data analysis is often laborious and pinning issues or plate specific growth effects can lead to the detection of false-positive growth defects. Results We have developed ScreenGarden, a shinyR application, to enable easy, quick and robust data analysis of plate-based high throughput assays. The code allows comparisons of different formats of data and different sized arrays of colonies. A comparison of ScreenGarden with previous analysis tools shows that it performs, at least, equivalently. The software can be run either via a website or offline via the RStudio program; the code is available and can be modified by expert uses to customise the analysis. Conclusions ScreenGarden provides a simple, fast and effective tool to analyse colony growth data from genomic experiments.

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