Back to Search Start Over

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

Authors :
Yang, Ludong
Zhang, Xinxin
Wang, Fan
Zhang, Li
Li, Jing
Yue, Jia-Xing
Source :
Journal of Genetics and Genomics; 20240101, Issue: Preprints
Publication Year :
2024

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.

Details

Language :
English
ISSN :
16738527
Issue :
Preprints
Database :
Supplemental Index
Journal :
Journal of Genetics and Genomics
Publication Type :
Periodical
Accession number :
ejs66907243
Full Text :
https://doi.org/10.1016/j.jgg.2024.07.007