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RNA 编辑检测在高性能计算基础设施中的应用。

RNA Editing Detection in HPC Infrastructures.

机构信息

Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari, Italy.

SCAI-Super Computing Applications and Innovation Department, CINECA, Rome, Italy.

出版信息

Methods Mol Biol. 2021;2284:253-270. doi: 10.1007/978-1-0716-1307-8_14.

Abstract

RNA editing by A-to-I deamination is a relevant co/posttranscriptional modification carried out by ADAR enzymes. In humans, it has pivotal cellular effects and its deregulation has been linked to a variety of human disorders including neurological and neurodegenerative diseases and cancer. Despite its biological relevance, the detection of RNA editing variants in large transcriptome sequencing experiments (RNAseq) is yet a challenging computational task. To drastically reduce computing times we have developed a novel REDItools version able to identify A-to-I events in huge amount of RNAseq data employing High Performance Computing (HPC) infrastructures.Here we show how to use REDItools v2 in HPC systems.

摘要

RNA 编辑通过 A 到 I 的脱氨酶反应是由 ADAR 酶进行的一种相关的共/后转录修饰。在人类中,它具有关键的细胞效应,其失调与多种人类疾病有关,包括神经和神经退行性疾病以及癌症。尽管具有重要的生物学意义,但在大规模转录组测序实验(RNAseq)中检测 RNA 编辑变体仍然是一项具有挑战性的计算任务。为了大大减少计算时间,我们开发了一个新的 REDItools 版本,能够使用高性能计算(HPC)基础设施在大量的 RNAseq 数据中识别 A 到 I 的事件。在这里,我们展示如何在 HPC 系统中使用 REDItools v2。

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