Gerlach Wolfgang, Giegerich Robert
Faculty of Technology, Bielefeld University 33615 Bielefeld, Germany.
Bioinformatics. 2006 Mar 15;22(6):762-4. doi: 10.1093/bioinformatics/btk041. Epub 2006 Jan 10.
RNA secondary structure analysis often requires searching for potential helices in large sequence data.
We present a utility program GUUGle that efficiently locates potential helical regions under RNA base pairing rules, which include Watson-Crick as well as G-U pairs. It accepts a positive and a negative set of sequences, and determines all exact matches under RNA rules between positive and negative sequences that exceed a specified length. The GUUGle algorithm can also be adapted to use a precomputed suffix array of the positive sequence set. We show how this program can be effectively used as a filter preceding a more computationally expensive task such as miRNA target prediction.
GUUGle is available via the Bielefeld Bioinformatics Server at http://bibiserv.techfak.uni-bielefeld.de/guugle
RNA二级结构分析通常需要在大量序列数据中搜索潜在的螺旋结构。
我们提出了一个实用程序GUUGle,它能根据RNA碱基配对规则(包括沃森-克里克配对以及G-U配对)有效地定位潜在的螺旋区域。它接受一组正序列和一组负序列,并确定正序列和负序列之间在RNA规则下超过指定长度的所有精确匹配。GUUGle算法也可以适用于使用正序列集的预计算后缀数组。我们展示了该程序如何能有效地用作在诸如miRNA靶标预测等计算成本更高的任务之前的过滤器。
可通过比勒费尔德生物信息学服务器(http://bibiserv.techfak.uni-bielefeld.de/guugle)获取GUUGle