State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.
State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China; Department of Medical Oncology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu 223200, China.
J Genet Genomics. 2024 Nov;51(11):1300-1309. doi: 10.1016/j.jgg.2024.07.007. Epub 2024 Jul 14.
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 demonstrate its utility, effectiveness, and efficacy across a wide range of DRS-based application settings.
纳米孔直接 RNA 测序 (DRS) 可直接获取具有全长信息的天然 RNA 链,揭示基因表达谱的丰富定性和定量特性。在此,我们通过 NanoTrans 展示了一个综合的计算框架,全面涵盖了所有主要的基于 DRS 的应用范围,包括异构体聚类和定量、多聚腺苷酸 (poly(A)) 尾长估计、RNA 修饰谱分析和融合基因检测。除了提供这种简化的一站式解决方案的优势外,NanoTrans 还在其面向工作流程的模块化设计、批处理能力、一体化表格和图形报告输出以及自动安装和配置支持方面表现出色。最后,通过将 NanoTrans 应用于酵母、拟南芥以及人类胚胎肾和癌细胞系的真实 DRS 数据集,我们进一步证明了其在广泛的 DRS 应用环境中的实用性、有效性和功效。