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

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 thes...

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Autores principales: Klemm, Cinzia, Howell, Rowan S. M., Thorpe, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818250/
https://www.ncbi.nlm.nih.gov/pubmed/35123390
http://dx.doi.org/10.1186/s12859-022-04586-1
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author Klemm, Cinzia
Howell, Rowan S. M.
Thorpe, Peter H.
author_facet Klemm, Cinzia
Howell, Rowan S. M.
Thorpe, Peter H.
author_sort Klemm, Cinzia
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04586-1.
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spelling pubmed-88182502022-02-07 ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens Klemm, Cinzia Howell, Rowan S. M. Thorpe, Peter H. BMC Bioinformatics Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04586-1. BioMed Central 2022-02-05 /pmc/articles/PMC8818250/ /pubmed/35123390 http://dx.doi.org/10.1186/s12859-022-04586-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Klemm, Cinzia
Howell, Rowan S. M.
Thorpe, Peter H.
ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title_full ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title_fullStr ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title_full_unstemmed ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title_short ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens
title_sort screengarden: a shinyr application for fast and easy analysis of plate-based high-throughput screens
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818250/
https://www.ncbi.nlm.nih.gov/pubmed/35123390
http://dx.doi.org/10.1186/s12859-022-04586-1
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