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

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 normali...

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Bibliographic Details
Main Authors: Nitin Kumar Singh, Bo Yeun Seo, Mathukumalli Vidyasagar, Michael A. White, Hyun Seok Kim
Format: Article
Language:English
Published: BioMed Central 2013-03-01
Series:Genomics & Informatics
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Online Access:http://genominfo.org/upload/pdf/gni-11-55.pdf
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Summary: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.
ISSN:1598-866X
2234-0742