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

被引:16
作者
Liu, Yongfeng [1 ]
Han, Ran [2 ]
Zhou, Letian [1 ]
Luo, Mingjie [1 ]
Zeng, Lidong [1 ]
Zhao, Xiaochao [1 ]
Ma, Yukun [2 ]
Zhou, Zhiliang [1 ]
Sun, Lei [1 ]
机构
[1] GeneMind Biosci Co Ltd, Shenzhen, Peoples R China
[2] Beijing Guoke Biotechnol Co LTD, Beijing, Peoples R China
关键词
GenoLab M; NovaSeq; 6000; Transcriptome; LncRNA; Compatibility; GENOME; STRINGTIE; HISAT;
D O I
10.1186/s12864-021-08150-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 34 条
[1]  
[Anonymous], 2014, CHEM ENG NEWS, V92, P11
[2]  
Bateman A, 2004, NUCLEIC ACIDS RES, V32, pD138, DOI [10.1093/nar/gkh121, 10.1093/nar/gkr1065, 10.1093/nar/gkp985]
[3]   Accurate whole human genome sequencing using reversible terminator chemistry [J].
Bentley, David R. ;
Balasubramanian, Shankar ;
Swerdlow, Harold P. ;
Smith, Geoffrey P. ;
Milton, John ;
Brown, Clive G. ;
Hall, Kevin P. ;
Evers, Dirk J. ;
Barnes, Colin L. ;
Bignell, Helen R. ;
Boutell, Jonathan M. ;
Bryant, Jason ;
Carter, Richard J. ;
Cheetham, R. Keira ;
Cox, Anthony J. ;
Ellis, Darren J. ;
Flatbush, Michael R. ;
Gormley, Niall A. ;
Humphray, Sean J. ;
Irving, Leslie J. ;
Karbelashvili, Mirian S. ;
Kirk, Scott M. ;
Li, Heng ;
Liu, Xiaohai ;
Maisinger, Klaus S. ;
Murray, Lisa J. ;
Obradovic, Bojan ;
Ost, Tobias ;
Parkinson, Michael L. ;
Pratt, Mark R. ;
Rasolonjatovo, Isabelle M. J. ;
Reed, Mark T. ;
Rigatti, Roberto ;
Rodighiero, Chiara ;
Ross, Mark T. ;
Sabot, Andrea ;
Sankar, Subramanian V. ;
Scally, Aylwyn ;
Schroth, Gary P. ;
Smith, Mark E. ;
Smith, Vincent P. ;
Spiridou, Anastassia ;
Torrance, Peta E. ;
Tzonev, Svilen S. ;
Vermaas, Eric H. ;
Walter, Klaudia ;
Wu, Xiaolin ;
Zhang, Lu ;
Alam, Mohammed D. ;
Anastasi, Carole .
NATURE, 2008, 456 (7218) :53-59
[4]   LncRNADisease: a database for long-non-coding RNA-associated diseases [J].
Chen, Geng ;
Wang, Ziyun ;
Wang, Dongqing ;
Qiu, Chengxiang ;
Liu, Mingxi ;
Chen, Xing ;
Zhang, Qipeng ;
Yan, Guiying ;
Cui, Qinghua .
NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) :D983-D986
[5]   A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3 [J].
Cingolani, Pablo ;
Platts, Adrian ;
Wang, Le Lily ;
Coon, Melissa ;
Tung Nguyen ;
Wang, Luan ;
Land, Susan J. ;
Lu, Xiangyi ;
Ruden, Douglas M. .
FLY, 2012, 6 (02) :80-92
[6]   The Dimensions, Dynamics, and Relevance of the Mammalian Noncoding Transcriptome [J].
Deveson, Ira W. ;
Hardwick, Simon A. ;
Mercer, Tim R. ;
Mattick, John S. .
TRENDS IN GENETICS, 2017, 33 (07) :464-478
[7]  
Esfandyarpour H., 2019, HIGH ACCURACY DNA SE, DOI [10.1101/604553, DOI 10.1101/604553]
[8]  
Florea Liliana, 2013, F1000Res, V2, P188, DOI 10.12688/f1000research.2-188.v1
[9]   Coming of age: ten years of next-generation sequencing technologies [J].
Goodwin, Sara ;
McPherson, John D. ;
McCombie, W. Richard .
NATURE REVIEWS GENETICS, 2016, 17 (06) :333-351
[10]  
Hak-Min K., 2021, GIGASCIENCE, V3, P3