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An interactive web-based application for Comprehensive Analysis of RNAi-screen Data

机译:基于Web的交互式应用程序,可对RNAi屏幕数据进行全面分析

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摘要

RNAi screens are widely used in functional genomics. Although the screen data can be susceptible to a number of experimental biases, many of these can be corrected by computational analysis. For this purpose, here we have developed a web-based platform for integrated analysis and visualization of RNAi screen data named CARD (for Comprehensive Analysis of RNAi Data; available at https://card.niaid.nih.gov ). CARD allows the user to seamlessly carry out sequential steps in a rigorous data analysis workflow, including normalization, off-target analysis, integration of gene expression data, optimal thresholds for hit selection and network/pathway analysis. To evaluate the utility of CARD, we describe analysis of three genome-scale siRNA screens and demonstrate: (i) a significant increase both in selection of subsequently validated hits and in rejection of false positives, (ii) an increased overlap of hits from independent screens of the same biology and (iii) insight to microRNA (miRNA) activity based on siRNA seed enrichment.
机译:RNAi筛选广泛用于功能基因组学。尽管屏幕数据可能容易受到许多实验偏差的影响,但其中许多可以通过计算分析进行校正。为此,我们在这里开发了一个基于Web的平台,用于集成分析和可视化的RNAi屏幕数据,称为CARD(用于RNAi数据的全面分析;可从https://card.niaid.nih.gov上获得)。 CARD允许用户在严格的数据分析工作流程中无缝执行顺序步骤,包括归一化,脱靶分析,基因表达数据整合,命中选择和网络/通路分析的最佳阈值。为了评估CARD的效用,我们描述了对三个基因组规模siRNA筛选的分析,并证明:(i)选择随后验证的命中项和拒绝假阳性的显着增加;(ii)来自独立的命中项的重叠增加筛查相同的生物学特性,以及(iii)基于siRNA种子富集了解microRNA(miRNA)活性。

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