ScreenGarden

ScreenGarden performs statistical analysis and plate-to-plate comparison of colony growth measurements from plate-based high-throughput genomic screens.


Key Features:

  • Plate-based colony analysis: Quantitative analysis of colony growth measurements on solid media from high-throughput screens.
  • Control comparisons: Statistical comparison between experimental and control plates to identify differential growth phenotypes.
  • Technical artifact handling: Detection and mitigation of effects from pinning errors and plate-specific growth variability to reduce false positives.
  • Imaging-derived data processing: Processing of colony size measurements generated by imaging software for downstream analysis.
  • High-throughput performance: Enables rapid analysis workflows suitable for large plate-based datasets.

Scientific Applications:

  • Yeast-two hybrid assays: Analysis of colony growth readouts to assess protein–protein interaction outcomes.
  • Synthetic Genetic Arrays (SGA): Comparative analysis of colony sizes to identify genetic interaction phenotypes.
  • Synthetic Physical Interaction (SPI) screens: Evaluation of colony growth patterns to detect synthetic physical interactions.
  • High-throughput genomic screens: General application to plate-based genomic experiments requiring quantitative colony growth comparison.

Methodology:

Performs statistical analyses and plate-to-plate comparisons of imaging-derived colony size measurements while accounting for pinning errors and plate-specific growth effects.

Topics

Details

Tool Type:
library, web application
Programming Languages:
R
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Klemm C, Howell RMS, Thorpe PH. ScreenGarden: A shinyR application for fast and easy analysis of plate-based high-throughput screens. Unknown Journal. 2021. doi:10.1101/2021.05.10.443457.

Links