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http://dx.doi.org/10.5808/GI.2013.11.1.55

siMacro: A Fast and Easy Data Processing Tool for Cell-Based Genomewide siRNA Screens  

Singh, Nitin Kumar (Department of Bioengineering, University of Texas at Dallas)
Seo, Bo Yeun (Department of Cell Biology, University of Texas Southwestern Medical Center)
Vidyasagar, Mathukumalli (Department of Bioengineering, University of Texas at Dallas)
White, Michael A. (Department of Cell Biology, University of Texas Southwestern Medical Center)
Kim, Hyun Seok (Department of Cell Biology, University of Texas Southwestern Medical Center)
Abstract
Growing numbers of studies employ cell line-based systematic short interfering RNA (siRNA) screens to study gene functions and to identify drug targets. As multiple sources of variations that are unique to siRNA screens exist, there is a growing demand for a computational tool that generates normalized values and standardized scores. However, only a few tools have been available so far with limited usability. Here, we present siMacro, a fast and easy-to-use Microsoft Office Excel-based tool with a graphic user interface, designed to process single-condition or two-condition synthetic screen datasets. siMacro normalizes position and batch effects, censors outlier samples, and calculates Z-scores and robust Z-scores, with a spreadsheet output of >120,000 samples in under 1 minute.
Keywords
high-throughput screening assays; RNA interference;
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