ArticleBMC bioinformatics2010
ScreenMill: a freely available software suite for growth measurement, analysis and visualization of high-throughput screen data.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
- Article
- Multi-omics reveal phosphatidic acid phosphatases modify Niemann-Pick type C disease severity.iScience · 2026Article
- High-throughput chemical genomic screening: a step-by-step workflow from plate to phenotype.mSystems · 2025Article
- The anti-cancer transition-state inhibitor MTDIA inhibits human MTAP, inducing autophagy in humanized yeast.Disease models & mechanisms · 2025Article
- Proteome-wide forced interactions reveal a functional map of cell-cycle phospho-regulation inNucleus (Austin, Tex.) · 2024Article
- A Matlab-based application for quantification of yeast cell growth on solid media.Journal of the Royal Society, Interface · 2024Article
- Humanization reveals pervasive incompatibility of yeast and human kinetochore components.G3 (Bethesda, Md.) · 2023Article
- A Normalization Protocol Reduces Edge Effect in High-Throughput Analyses of Hydroxyurea Hypersensitivity in Fission Yeast.Biomedicines · 2023Article
- Quantifying yeast colony morphologies with feature engineering from time-lapse photography.Scientific data · 2022Article
- High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events.STAR protocols · 2022Article
- ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens.BMC bioinformatics · 2022Article
- Article
- A synthetic lethal screen identifies HDAC4 as a potential target in MELK overexpressing cancers.G3 (Bethesda, Md.) · 2021Article
- Forced association of SARS-CoV-2 proteins with the yeast proteome perturb vesicle trafficking.Microbial cell (Graz, Austria) · 2021Article
- Cdc7-mediated phosphorylation of Cse4 regulates high-fidelity chromosome segregation in budding yeast.Molecular biology of the cell · 2021Article
- Tryptophan plays an important role in yeast's tolerance to isobutanol.Biotechnology for biofuels · 2021Article
- LI Detector: a framework for sensitive colony-based screens regardless of the distribution of fitness effects.G3 (Bethesda, Md.) · 2021Article
- Polo kinase recruitment via the constitutive centromere-associated network at the kinetochore elevates centromeric RNA.PLoS genetics · 2020Article
- A Genome-Wide Screen for Genes Affecting Spontaneous Direct-Repeat Recombination inG3 (Bethesda, Md.) · 2020Article
- A genome-wide screen identifies genes that suppress the accumulation of spontaneous mutations in young and aged yeast cells.Aging cell · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundMany high-throughput genomic experiments, such as Synthetic Genetic Array and yeast two-hybrid, use colony growth on solid media as a screen metric. These experiments routinely generate over 100,000 data points, making data analysis a time consuming and painstaking process. Here we describe ScreenMill, a new software suite that automates image analysis and simplifies data review and analysis for high-throughput biological experiments.
resultsThe ScreenMill, software suite includes three software tools or "engines": an open source Colony Measurement Engine (CM Engine) to quantitate colony growth data from plate images, a web-based Data Review Engine (DR Engine) to validate and analyze quantitative screen data, and a web-based Statistics Visualization Engine (SV Engine) to visualize screen data with statistical information overlaid. The methods and software described here can be applied to any screen in which growth is measured by colony size. In addition, the DR Engine and SV Engine can be used to visualize and analyze other types of quantitative high-throughput data.
conclusionsScreenMill automates quantification, analysis and visualization of high-throughput screen data. The algorithms implemented in ScreenMill are transparent allowing users to be confident about the results ScreenMill produces. Taken together, the tools of ScreenMill offer biologists a simple and flexible way of analyzing their data, without requiring programming skills.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.