ScreenMill: A freely available software suite for growth measurement,analysis and visualization of high-throughput screen data |
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| Authors: | John C Dittmar Robert JD Reid Rodney Rothstein |
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| Affiliation: | (1) Dept. of Biological Sciences, Columbia University, New York, NY 10027, USA;(2) Dept. Genetics & Development, Columbia University Medical Center, 701 West 168th Street, New York, NY 10032-2704, USA |
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| Abstract: | Background 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 ScreenMill, a new software suite that automates image analysis and simplifies data review and analysis for high-throughput biological experiments. |
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