{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T13:04:38Z","timestamp":1780405478186,"version":"3.54.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2010,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Many 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 <jats:italic>ScreenMill<\/jats:italic>, a new software suite that automates image analysis and simplifies data review and analysis for high-throughput biological experiments.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>The <jats:italic>ScreenMill<\/jats:italic>, software suite includes three software tools or \"engines\": an open source <jats:italic>Colony Measurement Engine<\/jats:italic> (<jats:italic>CM Engine<\/jats:italic>) to quantitate colony growth data from plate images, a web-based <jats:italic>Data Review Engine<\/jats:italic> (<jats:italic>DR Engine<\/jats:italic>) to validate and analyze quantitative screen data, and a web-based <jats:italic>Statistics Visualization Engine<\/jats:italic> (<jats:italic>SV Engine<\/jats:italic>) 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 <jats:italic>DR Engine<\/jats:italic> and <jats:italic>SV Engine<\/jats:italic> can be used to visualize and analyze other types of quantitative high-throughput data.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>\n              <jats:italic>ScreenMill<\/jats:italic> automates quantification, analysis and visualization of high-throughput screen data. The algorithms implemented in S<jats:italic>creenMill<\/jats:italic> are transparent allowing users to be confident about the results <jats:italic>ScreenMill<\/jats:italic> produces. Taken together, the tools of <jats:italic>ScreenMill<\/jats:italic> offer biologists a simple and flexible way of analyzing their data, without requiring programming skills.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-11-353","type":"journal-article","created":{"date-parts":[[2010,6,29]],"date-time":"2010-06-29T06:16:22Z","timestamp":1277792182000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data"],"prefix":"10.1186","volume":"11","author":[{"given":"John C","family":"Dittmar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert JD","family":"Reid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodney","family":"Rothstein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2010,6,28]]},"reference":[{"issue":"8","key":"3810_CR1","doi-asserted-by":"publisher","first-page":"4569","DOI":"10.1073\/pnas.061034498","volume":"98","author":"T Ito","year":"2001","unstructured":"Ito T, Chiba T, Ozawa R, Yoshida M, Hattori M, Sakaki Y: A comprehensive two-hybrid analysis to explore the yeast protein interactome. 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