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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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Detalles Bibliográficos
Autores principales: Singh, Nitin Kumar, Seo, Bo Yeun, Vidyasagar, Mathukumalli, White, Michael A., Kim, Hyun Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630387/
https://www.ncbi.nlm.nih.gov/pubmed/23613684
http://dx.doi.org/10.5808/GI.2013.11.1.55
Descripción
Sumario: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.