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
Repository
https://github.com/CinziaK/ScreenGardenIssue tracker
https://github.com/CinziaK/ScreenGarden/issues