NanoTrans: an integrated computational framework for comprehensive transcriptome analysis with nanopore direct RNA sequencing

被引:2
|
作者
Yang, Ludong [1 ]
Zhang, Xinxin [1 ]
Wang, Fan [1 ,2 ]
Zhang, Li [1 ]
Li, Jing [1 ]
Yue, Jia-Xing [1 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Clin Res Ctr Canc, State Key Lab Oncol South China, Guangdong Key Lab Nasopharyngeal Carcinoma Diag &, Guangzhou 510060, Guangdong, Peoples R China
[2] Nanjing Med Univ, Affiliated Huaian 1 Peoples Hosp, Dept Med Oncol, Huaian 223200, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Direct RNA sequencing; Nanopore; Transcriptome; Long reads; DRS;
D O I
10.1016/j.jgg.2024.07.007
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. Copyright (c) 2024, The Authors. Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1300 / 1309
页数:10
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