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StarSeeker: an automated tool for mature duplex microRNA sequence identification based on secondary structure modeling of precursor molecule

机译:StarSeeker:基于前体分子的二级结构建模的成熟双链microRNA序列识别自动化工具

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摘要

BackgroundMicroRNAs (miRNAs) are small, non-coding RNA molecules that play a key role in gene regulation in both plants and animals. MicroRNA biogenesis involves the enzymatic processing of a primary RNA transcript. The final step is the production of a duplex molecule, often designated as miRNA:miRNA*, that will yield a functional miRNA by separation of the two strands. This miRNA will be incorporated into the RNA-induced silencing complex, which subsequently will bind to its target mRNA in order to suppress its expression. The analysis of miRNAs is still a developing area for computational biology with many open questions regarding the structure and function of this important class of molecules. Here, we present StarSeeker, a simple tool that outputs the putative miRNA* sequence given the precursor and the mature sequences.
机译:背景MicroRNA(miRNA)是小的非编码RNA分子,在植物和动物的基因调控中起着关键作用。 MicroRNA生物发生涉及初级RNA转录物的酶促加工。最后一步是通常称为miRNA:miRNA *的双链体分子的产生,该分子将通过两条链的分离而产生功能性miRNA。将该miRNA掺入RNA诱导的沉默复合物中,随后将其结合至其靶mRNA,以抑制其表达。 miRNA的分析仍是计算生物学的发展领域,关于这一重要分子类别的结构和功能存在许多悬而未决的问题。在这里,我们介绍StarSeeker,这是一个简单的工具,可以根据给定的前体和成熟序列输出假定的miRNA *序列。

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