RNA sequencing (RNA-seq) has matured into a reliable and low-cost assay for transcriptome profiling and has been deployed across a range of systems. The computational tool space for the analysis of RNA-seq data has kept pace with advances in sequencing. Yet tool development has largely centered around the human transcriptome. While eukaryotic and prokaryotic transcriptomes are similar, key differences in transcribed units limit the transfer of wet-lab and computational tools between the two domains. The article by M. Chung, R. S. Adkins, J. S. A. Mattick, K. R. Bradwell, et al. (mSystems 6:e00917-20, 2021, https://doi.org/10.1128/mSystems.00917-20), demonstrates that integrating prokaryote-specific strategies into existing RNA-seq analyses improves read quantification. Unlike in eukaryotes, polycistronic transcripts derived from operons lead to sequencing reads that span multiple neighboring genes. Chung et al. introduce FADU, a software tool that performs a correction for such reads and thereby improves read quantification and biological interpretation of prokaryotic RNA sequencing.

中文翻译：

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夹在两个基因之间：精子基因结构的解释改善了原核RNA测序定量

RNA测序（RNA-seq）已发展成为一种可靠且低成本的转录组分析方法，并已在多种系统中使用。RNA-seq数据分析的计算工具空间与测序技术保持同步。然而，工具开发主要围绕人类转录组。虽然真核和原核转录组相似，但转录单位的关键差异限制了两个领域之间湿实验室和计算工具的转移。M. Chung，RS Adkins，JSA Mattick，KR Bradwell等人的文章。（mSystems 6：e00917-20，2021，https://doi.org/10.1128/mSystems.00917-20）证明了将原核生物特异的策略整合到现有的RNA-seq分析中可以提高读取定量。与真核生物不同，源自操纵子的多顺反子转录物导致跨越多个相邻基因的测序读取。Chung等。介绍FADU，这是一种软件工具，可对这些读段进行校正，从而提高了对原核RNA测序的读段定量和生物学解释。