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基于RNA测序数据的深度计算环状RNA分析

Deep Computational Circular RNA Analytics from RNA-seq Data.

作者信息

Jakobi Tobias, Dieterich Christoph

机构信息

Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany.

German Center for Cardiovascular Research (DZHK)-Partner site Heidelberg/Mannheim, Heidelberg, Germany.

出版信息

Methods Mol Biol. 2018;1724:9-25. doi: 10.1007/978-1-4939-7562-4_2.

Abstract

Circular RNAs (circRNAs) have been first described as "scrambled exons" in the 1990s. CircRNAs originate from back splicing or exon skipping of linear RNA templates and have continuously gained attention in recent years due to the availability of high-throughput whole-transcriptome sequencing methods. Numerous manuscripts describe thousands of circRNAs throughout uni- and multicellular eukaryote species and demonstrated that they are conserved, stable, and abundant in specific tissues or conditions. This manuscript provides a walk-through of our bioinformatics toolbox, which covers all aspects of in silico circRNA analysis, starting from raw sequencing data and back-splicing junction discovery to circRNA quantitation and reconstruction of internal the circRNA structure.

摘要

环状RNA(circRNAs)在20世纪90年代首次被描述为“混乱外显子”。circRNAs起源于线性RNA模板的反向剪接或外显子跳跃,近年来由于高通量全转录组测序方法的出现而不断受到关注。众多手稿描述了单细胞和多细胞真核生物物种中的数千种circRNAs,并证明它们在特定组织或条件下是保守、稳定且丰富的。本手稿介绍了我们的生物信息学工具箱,涵盖了计算机模拟circRNA分析的各个方面,从原始测序数据和反向剪接接头发现到circRNA定量和内部circRNA结构重建。

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