颜林林 (2024-04-28 14:25):
#paper doi:10.1101/2022.11.29.518309, bioRxiv, 2024, NanoTrans: an integrated computational framework for comprehensive transcriptome analysis with Nanopore direct-RNA sequencing. 这篇预发表文章,开发了一套分析流程NanoTrans,用于Nanopore直接RNA测序(DRS)数据,进行全面的转录组分析,包括各基因及其转录本的聚类、定量、poly-A尾巴长度profiling、RNA修饰分析、融合基因检测等。文章本身在技术上并没有特别的创新,但将各方面的分析步骤,比较全面地整合到一起,提供一站式的功能封装,并以单HTML形式输出结果报告,这对于使用者还是很友好且很有用的。同时,文章在多种真实数据集(包括酵母、拟南芥、人胚胎肾和癌细胞系)上进行了测试,以证明其适用于不同的生物学应用场景。我个人觉得,这种流程开发的工作,其实很难发表得比较好(当经常地,我们又不得不花大量时间来做),想要进一步提升价值,需要更深入地在某些特定场景下进行改进和优化,而不是一味求全,但相应地,针对特定场景的数据所做的优化,会进一步限制流程软件的适用范围,这种时候如果结果不出彩(比如没有一些新奇发现),最终价值也同样会非常受限。
NanoTrans: an integrated computational framework for comprehensive transcriptome analysis with Nanopore direct-RNA sequencing
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Abstract:
Nanopore direct RNA sequencing (DRS) provides the direct access to native RNA strands with full-length information, shedding light on rich qualitative and quantitative properties of gene expression profiles. Here with NanoTrans, we present an integrated computational framework that comprehensively covers all major DRS-based application scopes, including isoform clustering and quantification, poly(A) tail length estimation, RNA modification profiling, and fusion gene detection. In addition to its merit in providing such a streamlined one-stop solution, NanoTrans also shines in its workflow-orientated modular design, batch processing capability, all-in-one tabular and graphic report output, as well as automatic installation and configuration supports. Finally, by applying NanoTrans to real DRS datasets of yeast, Arabidopsis, as well as human embryonic kidney and cancer cell lines, we further demonstrated its utility, effectiveness, and efficacy across a wide range of DRS-based application settings.
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