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TarHunter a tool for predicting conserved microRNA targets and target mimics in plants

机译:TarHunter用于预测植物中保守的microRNA靶标和靶标模拟物的工具

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摘要

SummaryIn plants, the targets of deeply conserved microRNAs (miRNAs) were comprehensively studied. Evidence is emerging that targets of less conserved miRNAs, endogenous target mimics (eTM) and non-canonical targets play functional roles. Existing plant miRNA prediction tools lack a cross-species conservation filter and eTM prediction function. We developed a tool named TarHunter that features a strict cross-species conservation filter and capability of predicting eTMs. TarHunter has higher recall or precision rate as compared with other tools, and the conservation filter effectively increases prediction precision. TarHunter prediction combined with degradome analysis uncovered previously neglected miRNA targets including non-canonical target sites from various plant species, which are available at the TarHunter website ().
机译:总结在植物中,深入研究了深度保守的microRNA(miRNA)的靶标。越来越多的证据表明,保守性较低的miRNA,内源性靶标模拟物(eTM)和非规范性靶标可发挥功能性作用。现有的植物miRNA预测工具缺乏跨物种保护过滤器和eTM预测功能。我们开发了名为TarHunter的工具,该工具具有严格的跨物种保护过滤器和预测eTM的功能。与其他工具相比,TarHunter具有更高的召回率或准确率,并且保护滤波器有效地提高了预测精度。 TarHunter预测与降解组分析相结合,发现了先前被忽略的miRNA靶标,包括来自各种植物物种的非经典靶标位点,可在TarHunter网站上找到()。

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