Department of Computer Science, Wellesley College, Wellesley, MA, USA.
RNA Biol. 2023 Jan;20(1):77-84. doi: 10.1080/15476286.2023.2189331.
Owing to the complexities of bacterial RNA biology, the transcriptomes of even the best studied bacteria are not fully understood. To help elucidate the transcriptional landscape of , we compiled a compendium of 3,376 RNA-seq data sets composed of more than 7 trillion sequenced bases, which we evaluate with a transcript assembly pipeline. We report expression profiles for all annotated genes as well as 5,071 other transcripts. Additionally, we observe hundreds of instances of co-transcribed genes that are novel with respect to existing operon databases. By integrating data from a large number of sequencing experiments corresponding to a wide range of conditions, we are able to obtain a comprehensive view of the transcriptome.
由于细菌 RNA 生物学的复杂性，即使是研究得最好的细菌的转录组也没有被完全理解。为了帮助阐明 的转录景观，我们编制了一个由 3376 个 RNA-seq 数据集组成的纲要，这些数据集由超过 70 万亿个测序碱基组成，我们使用转录组装管道对其进行评估。我们报告了所有注释基因以及 5071 个其他转录本的表达谱。此外，我们还观察到数百个相对于现有操纵子数据库而言是新的共转录基因的实例。通过整合来自大量对应于多种条件的测序实验的数据，我们能够获得 转录组的全面视图。
