Efficient prediction of siRNAs with siRNArules 1.0: An open-source JAVA approach to siRNA algorithms

  1. Torgeir Holen
  1. Centre for Molecular Biology and Neuroscience (CMBN), University of Oslo, Oslo, Norway

Abstract

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/).

Keywords

Footnotes

  • Reprint requests to: Torgeir Holen, CMBN, University of Oslo, Oslo, Norway; e-mail: torgeir.holen{at}medisin.uio.no; fax: +47-0-22851488.

  • Article published online ahead of print. Article and publication date are at http://www.rnajournal.org/cgi/doi/10.1261/rna.81006.

    • Received March 8, 2006.
    • Accepted June 12, 2006.
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