D'Antonio Mattia, Picardi Ernesto, Castrignanò Tiziana, D'Erchia Anna Maria, Pesole Graziano
Consorzio Interuniversitario CINECA, 00185, Rome, Italy.
Methods Mol Biol. 2015;1269:327-38. doi: 10.1007/978-1-4939-2291-8_20.
Revealing the impact of A-to-I RNA editing in RNA-Seq experiments is relevant in humans because RNA editing can influence gene expression. In addition, its deregulation has been linked to a variety of human diseases. Exploiting the RNA editing potential in complete RNA-Seq datasets, however, is a challenging task. Indeed, no dedicated software is available, and sometimes deep computational skills and appropriate hardware resources are required. To explore the impact of known RNA editing events in massive transcriptome sequencing experiments, we developed the ExpEdit web service application. In the present work, we provide an overview of ExpEdit as well as methodologies to investigate known RNA editing in human RNA-Seq datasets.
揭示A到I RNA编辑在RNA测序实验中的影响在人类中具有重要意义,因为RNA编辑会影响基因表达。此外,其失调与多种人类疾病有关。然而,在完整的RNA测序数据集中利用RNA编辑潜力是一项具有挑战性的任务。实际上,目前没有专门的软件,有时还需要深厚的计算技能和适当的硬件资源。为了在大规模转录组测序实验中探索已知RNA编辑事件的影响,我们开发了ExpEdit网络服务应用程序。在本工作中,我们概述了ExpEdit以及研究人类RNA测序数据集中已知RNA编辑的方法。