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RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms.
Dong, Xuemin; Dong, Shanshan; Pan, Shengkai; Zhan, Xiangjiang.
  • Dong X; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China.
  • Dong S; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Pan S; Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
  • Zhan X; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China. pansk@ioz.ac.cn.
BMC Bioinformatics ; 23(1): 26, 2022 Jan 06.
Article en En | MEDLINE | ID: mdl-34991454
ABSTRACT

BACKGROUND:

Understanding the transcriptome has become an essential step towards the full interpretation of the biological function of a cell, a tissue or even an organ. Many tools are available for either processing, analysing transcriptome data, or visualizing analysis results. However, most existing tools are limited to data from a single sequencing platform and only several of them could handle more than one analysis module, which are far from enough to meet the requirements of users, especially those without advanced programming skills. Hence, we still lack an open-source toolkit that enables both bioinformatician and non-bioinformatician users to process and analyze the large transcriptome data from different sequencing platforms and visualize the results.

RESULTS:

We present a Linux-based toolkit, RNA-combine, to automatically perform the quality assessment, downstream analysis of the transcriptome data generated from different sequencing platforms, including bulk RNA-seq (Illumina platform), single cell RNA-seq (10x Genomics) and Iso-Seq (PacBio) and visualization of the results. Besides, this toolkit is implemented with at least 10 analysis modules more than other toolkits examined in this study. Source codes of RNA-combine are available on GitHub https//github.com/dongxuemin666/RNA-combine .

CONCLUSION:

Our results suggest that RNA-combine is a reliable tool for transcriptome data processing and result interpretation for both bioinformaticians and non-bioinformaticians.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Transcriptoma Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Transcriptoma Idioma: En Año: 2022 Tipo del documento: Article