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生物信息学分析 lncRNAs RNAseq 数据的流程。

Bioinformatic Pipelines to Analyze lncRNAs RNAseq Data.

机构信息

Department of Pathology, IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.

出版信息

Methods Mol Biol. 2021;2348:55-69. doi: 10.1007/978-1-0716-1581-2_4.

Abstract

RNA-sequencing could be nowadays considered the gold standard to study the coding and noncoding transcriptome. The great advantage of high-throughput sequencing in the characterization and quantification of long noncoding RNA (lncRNA) resides in its capability to capture the complexity of lncRNA transcripts configuration patterns, even in the presence of several alternative isoforms, with superior accuracy and discovery power compared to other technologies such as microarrays or PCR-based methods. In this chapter, we provide a protocol for lncRNA analysis using through high-throughput sequencing, indicating the main difficulties in the annotation pipeline and showing how an accurate evaluation of the procedure can help to minimize biased observations.

摘要

RNA 测序如今可以被认为是研究编码和非编码转录组的金标准。高通量测序在长链非编码 RNA(lncRNA)的特征描述和定量方面的巨大优势在于,它能够捕捉 lncRNA 转录本结构模式的复杂性,即使存在几种替代异构体,其准确性和发现能力也优于微阵列或基于 PCR 的方法等其他技术。在本章中,我们提供了使用高通量测序进行 lncRNA 分析的方案,指出了注释管道中的主要困难,并展示了如何准确评估该程序有助于最小化有偏差的观察结果。

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