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Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis

BACKGROUND: GenoLab M is a recently established next-generation sequencing platform from GeneMind Biosciences. Presently, Illumina sequencers are the globally leading sequencing platform in the next-generation sequencing market. Here, we present the first report to compare the transcriptome and LncR...

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Autores principales: Liu, Yongfeng, Han, Ran, Zhou, Letian, Luo, Mingjie, Zeng, Lidong, Zhao, Xiaochao, Ma, Yukun, Zhou, Zhiliang, Sun, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600837/
https://www.ncbi.nlm.nih.gov/pubmed/34789158
http://dx.doi.org/10.1186/s12864-021-08150-8
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author Liu, Yongfeng
Han, Ran
Zhou, Letian
Luo, Mingjie
Zeng, Lidong
Zhao, Xiaochao
Ma, Yukun
Zhou, Zhiliang
Sun, Lei
author_facet Liu, Yongfeng
Han, Ran
Zhou, Letian
Luo, Mingjie
Zeng, Lidong
Zhao, Xiaochao
Ma, Yukun
Zhou, Zhiliang
Sun, Lei
author_sort Liu, Yongfeng
collection PubMed
description BACKGROUND: GenoLab M is a recently established next-generation sequencing platform from GeneMind Biosciences. Presently, Illumina sequencers are the globally leading sequencing platform in the next-generation sequencing market. Here, we present the first report to compare the transcriptome and LncRNA sequencing data of the GenoLab M sequencer to NovaSeq 6000 platform in various types of analysis. RESULTS: We tested 16 libraries in three species using various library kits from different companies. We compared the data quality, genes expression, alternatively spliced (AS) events, single nucleotide polymorphism (SNP), and insertions–deletions (InDel) between two sequencing platforms. The data suggested that platforms have comparable sensitivity and accuracy in terms of quantification of gene expression levels with technical compatibility. CONCLUSIONS: Genolab M is a promising next-generation sequencing platform for transcriptomics and LncRNA studies with high performance at low costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08150-8.
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spelling pubmed-86008372021-11-19 Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis Liu, Yongfeng Han, Ran Zhou, Letian Luo, Mingjie Zeng, Lidong Zhao, Xiaochao Ma, Yukun Zhou, Zhiliang Sun, Lei BMC Genomics Research BACKGROUND: GenoLab M is a recently established next-generation sequencing platform from GeneMind Biosciences. Presently, Illumina sequencers are the globally leading sequencing platform in the next-generation sequencing market. Here, we present the first report to compare the transcriptome and LncRNA sequencing data of the GenoLab M sequencer to NovaSeq 6000 platform in various types of analysis. RESULTS: We tested 16 libraries in three species using various library kits from different companies. We compared the data quality, genes expression, alternatively spliced (AS) events, single nucleotide polymorphism (SNP), and insertions–deletions (InDel) between two sequencing platforms. The data suggested that platforms have comparable sensitivity and accuracy in terms of quantification of gene expression levels with technical compatibility. CONCLUSIONS: Genolab M is a promising next-generation sequencing platform for transcriptomics and LncRNA studies with high performance at low costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08150-8. BioMed Central 2021-11-17 /pmc/articles/PMC8600837/ /pubmed/34789158 http://dx.doi.org/10.1186/s12864-021-08150-8 Text en © The Author(s) 2021, corrected publication 2022 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 Research
Liu, Yongfeng
Han, Ran
Zhou, Letian
Luo, Mingjie
Zeng, Lidong
Zhao, Xiaochao
Ma, Yukun
Zhou, Zhiliang
Sun, Lei
Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title_full Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title_fullStr Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title_full_unstemmed Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title_short Comparative performance of the GenoLab M and NovaSeq 6000 sequencing platforms for transcriptome and LncRNA analysis
title_sort comparative performance of the genolab m and novaseq 6000 sequencing platforms for transcriptome and lncrna analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600837/
https://www.ncbi.nlm.nih.gov/pubmed/34789158
http://dx.doi.org/10.1186/s12864-021-08150-8
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