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Exome-based analysis for RNA epigenome sequencing data

机译:基于外显子组的RNA表观基因组测序数据分析

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摘要

>Motivation: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; however, unique features of this new type of data call for novel computational techniques.>Result: Through examining the connections of RNA epigenome sequencing data with two well-studied data types, ChIP-Seq and RNA-Seq, we unveiled the salient characteristics of this new data type. The computational strategies were discussed accordingly, and a novel data processing pipeline was proposed that combines several existing tools with a newly developed exome-based approach ‘exomePeak’ for detecting, representing and visualizing the post-transcriptional RNA modification sites on the transcriptome.>Availability: The MATLAB package ‘exomePeak’ and additional details are available at .>Contact: or >Supplementary information: are available at Bioinformatics online.
机译:>动机:片段化的RNA免疫沉淀与RNA测序相结合,使得RNA表观基因组的研究几乎可以达到单碱基分辨率。但是,这种新型数据的独特功能需要新颖的计算技术。>结果:通过检查RNA表观基因组测序数据与ChIP-Seq和RNA-Seq两种数据类型的联系,我们揭示了这种新数据类型的显着特征。相应地讨论了计算策略,并提出了一条新颖的数据处理管道,该管道将几种现有工具与新开发的基于外显子组的方法“ exomePeak”相结合,用于检测,表示和可视化转录组上的转录后RNA修饰位点。 >可用性: MATLAB包'exomePeak'和其他详细信息可在。>联系人:或>补充信息:在在线生物信息学上获得。

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