Efficient prediction of siRNAs with siRNArules 1.0: An open-source JAVA approach to siRNA algorithms
Efficient prediction of siRNAs with siRNArules 1.0: An open-source JAVA approach to siRNA algorithms
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DOI：
10.1261/rna.81006
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发表时间：
2006-09-01
期刊：
影响因子：
4.5
通讯作者：
Holen, Torgeir
中科院分区：
文献类型：
--
作者：
Holen, Torgeir
RNAi干扰和siRNA已成为研究基因功能的有用工具。然而，并非所有siRNA都同样有效的发现使得必需筛选或设计算法以获得高活性siRNA候选物。已经发布了几种算法，但它们仍然效率低下，模糊不清，或商业上受到限制。这篇文章描述了一个开源JAVA程序，它在预测活性siRNA方面非常有效（Pearson相关系数r = 0.52，n = 526 siRNA）。此外，这个1.0版本为开源社区进一步改进自由代码奠定了基础（http：//sourceforge.net/）。
RNAi interference and siRNA have become useful tools for investigation of gene function. However, the discovery that not all siRNA are equally efficient made necessary screens or design algorithms to obtain high activity siRNA candidates. Several algorithms have been published, but they remain inefficient, obscure, or commercially restricted. This article describes an open-source JAVA program that is surprisingly efficient at predicting active siRNAs (Pearson correlation coefficient r = 0.52, n = 526 siRNAs). Furthermore, this version 1.0 sets the stage for further improvement of the free code by the open-source community (http://sourceforge.net/).