imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis thaliana

Jiandong Ding, Shusi Yu, U. Ohler, J. Guan, Shuigeng Zhou
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引用次数: 6

Abstract

MiRNA are about 22nt long small noncoding RNAs that post transcription ally regulate gene expression in animals, plants and protozoa. Confident identification of MiRNA-Target Interactions (MTI) is vital to understand their function. Currently, several integrated programs and databases are available for animal miRNAs, the mechanisms of which are significantly different from plant miRNAs. Here we present imiRTP, an integrated MTI prediction and analysis toolkit for Arabidopsis thaliana. It features two important functions: (i) combination of several effective plant miRNA target prediction methods provides a sufficiently large MTI candidate set, and (ii) different filters allow for an efficient selection of potential targets. The modularity of imiRTP enables the prediction of high quality targets on genome-wide scale.
imiRTP:一种鉴定拟南芥mirna -靶标相互作用的综合方法
MiRNA是一种长约22nt的非编码小rna,在动物、植物和原生动物中起转录后调控基因表达的作用。确定MiRNA-Target相互作用(MTI)对了解其功能至关重要。目前,针对动物mirna的集成程序和数据库比较多,但动物mirna的机制与植物mirna有很大的不同。在这里,我们提出了imiRTP,一个集成的拟南芥MTI预测和分析工具包。它具有两个重要功能:(i)几种有效的植物miRNA靶标预测方法的组合提供了足够大的MTI候选集,(ii)不同的过滤器允许有效地选择潜在靶标。imiRTP的模块化使其能够在全基因组范围内预测高质量靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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