NanoTrans:利用纳米孔直接 RNA 测序进行转录组综合分析的集成计算框架。

IF 6.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ludong Yang, Xinxin Zhang, Fan Wang, Li Zhang, Jing Li, Jia-Xing Yue
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引用次数: 0

摘要

纳米孔直接 RNA 测序(DRS)可直接获取具有全长信息的原生 RNA 链,从而揭示基因表达谱的丰富定性和定量特性。在这里,我们利用 NanoTrans 提出了一个集成计算框架,全面涵盖了基于 DRS 的所有主要应用范围,包括同工酶聚类和定量、poly(A) 尾长度估计、RNA 修饰谱分析和融合基因检测。除了提供如此精简的一站式解决方案之外,NanoTrans 还具有面向工作流程的模块化设计、批量处理能力、一体化的表格和图形报告输出,以及自动安装和配置支持等优点。最后,通过将 NanoTrans 应用于酵母、拟南芥以及人类胚胎肾脏和癌症细胞系的真实 DRS 数据集,我们进一步证明了它在各种基于 DRS 的应用设置中的实用性、有效性和功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NanoTrans: an integrated computational framework for comprehensive transcriptome analysis with nanopore direct RNA sequencing.

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.

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来源期刊
Journal of Genetics and Genomics
Journal of Genetics and Genomics 生物-生化与分子生物学
CiteScore
8.20
自引率
3.40%
发文量
4756
审稿时长
14 days
期刊介绍: The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.
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