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miRDeepFinder:一种用于植物小RNA深度测序的miRNA分析工具。

miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs.

作者信息

Xie Fuliang, Xiao Peng, Chen Dongliang, Xu Lei, Zhang Baohong

机构信息

Department of Biology, East Carolina University, Greenville, NC, 27858, USA.

出版信息

Plant Mol Biol. 2012 Jan 31. doi: 10.1007/s11103-012-9885-2.

Abstract

miRDeepFinder is a software package developed to identify and functionally analyze plant microRNAs (miRNAs) and their targets from small RNA datasets obtained from deep sequencing. The functions available in miRDeepFinder include pre-processing of raw data, identifying conserved miRNAs, mining and classifying novel miRNAs, miRNA expression profiling, predicting miRNA targets, and gene pathway and gene network analysis involving miRNAs. The fundamental design of miRDeepFinder is based on miRNA biogenesis, miRNA-mediated gene regulation and target recognition, such as perfect or near perfect hairpin structures, different read abundances of miRNA and miRNA*, and targeting patterns of plant miRNAs. To test the accuracy and robustness of miRDeepFinder, we analyzed a small RNA deep sequencing dataset of Arabidopsis thaliana published in the GEO database of NCBI. Our test retrieved 128 of 131 (97.7%) known miRNAs that have a more than 3 read count in Arabidopsis. Because many known miRNAs are not associated with miRNAs in small RNA datasets, miRDeepFinder was also designed to recover miRNA candidates without the presence of miRNA. To mine as many miRNAs as possible, miRDeepFinder allows users to compare mature miRNAs and their miRNAs with other small RNA datasets from the same species. Cleaveland software package was also incorporated into miRDeepFinder for miRNA target identification using degradome sequencing analysis. Using this new computational tool, we identified 13 novel miRNA candidates with miRNAs from Arabidopsis and validated 12 of them experimentally. Interestingly, of the 12 verified novel miRNAs, a miRNA named AC1 spans the exons of two genes (UTG71C4 and UGT71C3). Both the mature AC1 miRNA and its miRNA* were also found in four other small RNA datasets. We also developed a tool, "miRNA primer designer" to design primers for any type of miRNAs. miRDeepFinder provides a powerful tool for analyzing small RNA datasets from all species, with or without the availability of genome information. miRDeepFinder and miRNA primer designer are freely available at http://www.leonxie.com/DeepFinder.php and at http://www.leonxie.com/miRNAprimerDesigner.php , respectively. A program (called RefFinder: http://www.leonxie.com/referencegene.php ) was also developed for assessing the reliable reference genes for gene expression analysis, including miRNAs.

摘要

miRDeepFinder是一个软件开发包,用于从深度测序获得的小RNA数据集中识别植物微小RNA(miRNA)及其靶标并进行功能分析。miRDeepFinder的可用功能包括原始数据的预处理、保守miRNA的识别、新miRNA的挖掘和分类、miRNA表达谱分析、miRNA靶标的预测以及涉及miRNA的基因途径和基因网络分析。miRDeepFinder的基本设计基于miRNA生物合成、miRNA介导的基因调控和靶标识别,例如完美或近乎完美的发夹结构、miRNA和miRNA的不同读取丰度以及植物miRNA的靶向模式。为了测试miRDeepFinder的准确性和稳健性,我们分析了NCBI的GEO数据库中发布的拟南芥小RNA深度测序数据集。我们的测试检索到了131个已知miRNA中的128个(97.7%),这些miRNA在拟南芥中的读取计数超过3。由于许多已知miRNA在小RNA数据集中与miRNA不相关,miRDeepFinder还被设计用于在没有miRNA的情况下恢复miRNA候选物。为了尽可能多地挖掘miRNA,miRDeepFinder允许用户将成熟miRNA及其miRNA与来自同一物种的其他小RNA数据集进行比较。Cleaveland软件包也被纳入miRDeepFinder,用于使用降解组测序分析进行miRNA靶标识别。使用这个新的计算工具,我们从拟南芥中鉴定出了13个带有miRNA的新miRNA候选物,并通过实验验证了其中的12个。有趣的是,在这12个经过验证的新miRNA中,一个名为AC1的miRNA跨越了两个基因(UTG71C4和UGT71C3)的外显子。成熟的AC1 miRNA及其miRNA也在其他四个小RNA数据集中被发现。我们还开发了一个工具“miRNA引物设计器”,用于设计任何类型miRNA的引物。miRDeepFinder为分析来自所有物种的小RNA数据集提供了一个强大的工具,无论是否有基因组信息。miRDeepFinder和miRNA引物设计器分别可在http://www.leonxie.com/DeepFinder.php和http://www.leonxie.com/miRNAprimerDesigner.php免费获取。还开发了一个程序(称为RefFinder:http://www.leonxie.com/referencegene.php),用于评估基因表达分析(包括miRNA)的可靠参考基因。

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