Efficient prediction of siRNAs with siRNArules 1.0: an open-source JAVA approach to siRNA algorithms.
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/).
Holen
Torgeir
T
Centre for Molecular Biology and Neuroscience (CMBN), University of Oslo, Oslo, Norway. torgeir.holen@medisin.uio.no
D000465:Algorithms; D001483:Base Sequence; D019295:Computational Biology; D011237:Predictive Value of Tests; D034622:RNA Interference; D034741:RNA, Small Interfering / Q000235:genetics*; D015203:Reproducibility of Results; D017423:Sequence Analysis, RNA; D012984:Software
D034741:RNA, Small Interfering