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RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms

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 exist...

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Autores principales: Dong, Xuemin, Dong, Shanshan, Pan, Shengkai, Zhan, Xiangjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740077/
https://www.ncbi.nlm.nih.gov/pubmed/34991454
http://dx.doi.org/10.1186/s12859-021-04549-y
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author Dong, Xuemin
Dong, Shanshan
Pan, Shengkai
Zhan, Xiangjiang
author_facet Dong, Xuemin
Dong, Shanshan
Pan, Shengkai
Zhan, Xiangjiang
author_sort Dong, Xuemin
collection PubMed
description 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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spelling pubmed-87400772022-01-07 RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms Dong, Xuemin Dong, Shanshan Pan, Shengkai Zhan, Xiangjiang BMC Bioinformatics Software 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. BioMed Central 2022-01-06 /pmc/articles/PMC8740077/ /pubmed/34991454 http://dx.doi.org/10.1186/s12859-021-04549-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Dong, Xuemin
Dong, Shanshan
Pan, Shengkai
Zhan, Xiangjiang
RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title_full RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title_fullStr RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title_full_unstemmed RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title_short RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
title_sort rna-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740077/
https://www.ncbi.nlm.nih.gov/pubmed/34991454
http://dx.doi.org/10.1186/s12859-021-04549-y
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AT panshengkai rnacombineatoolkitforcomprehensiveanalysesontranscriptomedatafromdifferentsequencingplatforms
AT zhanxiangjiang rnacombineatoolkitforcomprehensiveanalysesontranscriptomedatafromdifferentsequencingplatforms