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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Single object profiles regression analysis (SOPRA): a novel method for analyzing high-content cell-based screens

Fig. 1

SOPRA workflow of high-throughput data sets. A High content screening data is generated and used to prepare single object data files and input data files. B Screen description and the single cell data files are generated manually. C Wells that should be omitted are flagged, and D1 the single object data is filtered, normalized to the median of the controls, and a common binning axis for all plates is determined. D2 For each measured feature, the frequency distribution profile (histogram) is generated for each sample well, which is then normalized for each bin to the median distribution profile of the controls. E Significantly changed normalized distribution profiles are determined using regression analysis, and F a post-processing step is performed to determine the number of screening hits

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