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REDO:基于变异检测结果的植物细胞器RNA编辑检测

REDO: RNA Editing Detection in Plant Organelles Based on Variant Calling Results.

作者信息

Wu Shuangyang, Liu Wanfei, Aljohi Hasan Awad, Alromaih Sarah A, Alanazi Ibrahim O, Lin Qiang, Yu Jun, Hu Songnian

机构信息

1 CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics , Chinese Academy of Sciences, Beijing, China .

2 University of Chinese Academy of Sciences , Beijing, China .

出版信息

J Comput Biol. 2018 May;25(5):509-516. doi: 10.1089/cmb.2017.0214. Epub 2018 Apr 11.

Abstract

RNA editing is a post-transcriptional or cotranscriptional process that changes the sequence of the precursor transcript by substitutions, insertions, or deletions. Almost all of the land plants undergo RNA editing in organelles (plastids and mitochondria). Although several software tools have been developed to identify RNA editing events, there has been a great challenge to distinguish true RNA editing events from genome variation, sequencing errors, and other factors. Here we introduce REDO, a comprehensive application tool for identifying RNA editing events in plant organelles based on variant call format files from RNA-sequencing data. REDO is a suite of Perl scripts that illustrate a bunch of attributes of RNA editing events in figures and tables. REDO can also detect RNA editing events in multiple samples simultaneously and identify the significant differential proportion of RNA editing loci. Comparing with similar tools, such as REDItools, REDO runs faster with higher accuracy, and more specificity at the cost of slightly lower sensitivity. Moreover, REDO annotates each RNA editing site in RNAs, whereas REDItools reports only possible RNA editing sites in genome, which need additional steps to obtain RNA editing profiles for RNAs. Overall, REDO can identify potential RNA editing sites easily and provide several functions such as detailed annotations, statistics, figures, and significantly differential proportion of RNA editing sites among different samples.

摘要

RNA编辑是一种转录后或共转录过程,通过替换、插入或缺失来改变前体转录本的序列。几乎所有陆生植物的细胞器(质体和线粒体)都会发生RNA编辑。尽管已经开发了几种软件工具来识别RNA编辑事件,但要将真正的RNA编辑事件与基因组变异、测序错误及其他因素区分开来仍面临巨大挑战。在此,我们介绍REDO,这是一种基于RNA测序数据的变异调用格式文件来识别植物细胞器中RNA编辑事件的综合应用工具。REDO是一套Perl脚本,可在图表中展示RNA编辑事件的一系列特征。REDO还能同时检测多个样本中的RNA编辑事件,并识别RNA编辑位点的显著差异比例。与类似工具(如REDItools)相比,REDO运行速度更快、准确性更高、特异性更强,只是灵敏度略低。此外,REDO会注释RNA中的每个RNA编辑位点,而REDItools仅报告基因组中可能的RNA编辑位点,还需要额外步骤才能获得RNA的RNA编辑图谱。总体而言,REDO能够轻松识别潜在的RNA编辑位点,并提供详细注释、统计、图表以及不同样本间RNA编辑位点显著差异比例等多种功能。

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