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

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yongfeng Liu ◽  
Ran Han ◽  
Letian Zhou ◽  
Mingjie Luo ◽  
Lidong Zeng ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Performance ◽  
Next Generation ◽  
Sequencing Data ◽  
Comparative Performance ◽  
Sequencing Platform ◽  
Next Generation Sequencing Platform ◽  
Alternatively Spliced ◽  
Sequencing Platforms ◽  
Generation Sequencing

Abstract 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.

scholarly journals Comparative Performance of the Genolab M and Novaseq 6000 Sequencing Platforms for Transcriptome and LncRNA Analysis

2021 ◽  
Author(s):  
Yongfeng Liu ◽  
Ran Han ◽  
Letian Zhou ◽  
Mingjie Luo ◽  
Lidong Zeng ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Performance ◽  
Next Generation ◽  
Sequencing Data ◽  
Comparative Performance ◽  
Sequencing Platform ◽  
Genes Expression ◽  
Alternatively Spliced ◽  
Sequencing Platforms ◽  
Generation Sequencing

Abstract 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 sequencing platform for transcriptomics and LncRNA studies with high performance at low costs.

scholarly journals Hi-C chromosome conformation capture sequencing of avian genomes using the BGISEQ-500 platform

GigaScience ◽  
2020 ◽  
Vol 9 (8) ◽  
Author(s):  
Marcela Sandoval-Velasco ◽  
Juan Antonio Rodríguez ◽  
Cynthia Perez Estrada ◽  
Guojie Zhang ◽  
Erez Lieberman Aiden ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput Sequencing ◽  
Data Generation ◽  
Next Generation ◽  
Sequencing Data ◽  
Yield Data ◽  
Chromosome Conformation ◽  
Sequencing Platform ◽  
Sequencing Platforms ◽  
Generation Sequencing

Abstract Background Hi-C experiments couple DNA-DNA proximity with next-generation sequencing to yield an unbiased description of genome-wide interactions. Previous methods describing Hi-C experiments have focused on the industry-standard Illumina sequencing. With new next-generation sequencing platforms such as BGISEQ-500 becoming more widely available, protocol adaptations to fit platform-specific requirements are useful to give increased choice to researchers who routinely generate sequencing data. Results We describe an in situ Hi-C protocol adapted to be compatible with the BGISEQ-500 high-throughput sequencing platform. Using zebra finch (Taeniopygia guttata) as a biological sample, we demonstrate how Hi-C libraries can be constructed to generate informative data using the BGISEQ-500 platform, following circularization and DNA nanoball generation. Our protocol is a modification of an Illumina-compatible method, based around blunt-end ligations in library construction, using un-barcoded, distally overhanging double-stranded adapters, followed by amplification using indexed primers. The resulting libraries are ready for circularization and subsequent sequencing on the BGISEQ series of platforms and yield data similar to what can be expected using Illumina-compatible approaches. Conclusions Our straightforward modification to an Illumina-compatible in situHi-C protocol enables data generation on the BGISEQ series of platforms, thus expanding the options available for researchers who wish to utilize the powerful Hi-C techniques in their research.

scholarly journals Whole-genome sequencing data of Kazakh individuals

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ulykbek Kairov ◽  
Askhat Molkenov ◽  
Saule Rakhimova ◽  
Ulan Kozhamkulov ◽  
Aigul Sharip ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Next Generation ◽  
Sequencing Data ◽  
Sequencing Platform ◽  
Next Generation Sequencing Platform ◽  
Central Asian ◽  
Whole Genomes ◽  
Generation Sequencing

Abstract Objectives Kazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today is the multi-ethnic country with the dominant Kazakh ethnic group. We sequenced and analyzed the whole-genomes of five ethnic healthy Kazakh individuals with high coverage using next-generation sequencing platform. This whole-genome sequence data of healthy Kazakh individuals can be a valuable reference for biomedical studies investigating disease associations and population-wide genomic studies of ethnically diverse Central Asian region. Data description Blood samples have been collected from five ethnic healthy Kazakh individuals living in Kazakhstan. The genomic DNA was extracted from blood and sequenced. Sequencing was performed on Illumina HiSeq2000 next-generation sequencing platform. We sequenced and analyzed the whole-genomes of ethnic Kazakh individuals with the coverage ranging from 26 to 32X. Ranging from 98.85 to 99.58% base pairs were totally mapped and aligned on the human reference genome GRCh37 hg19. Het/Hom and Ts/Tv ratios for each whole genome ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Sequencing data are available in the National Center for Biotechnology Information SRA database under the accession number PRJNA374772.

Comparison between two different next generation sequencing platforms for clinical relevant gene mutation test in solid tumours

2020 ◽  
Vol 73 (9) ◽  
pp. 602-604
Author(s):  
Silvia Bessi ◽  
Francesco Pepe ◽  
Marco Ottaviantonio ◽  
Pasquale Pisapia ◽  
Umberto Malapelle ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Performance ◽  
Solid Tumours ◽  
Next Generation ◽  
Formalin Fixed Paraffin ◽  
Ffpe Samples ◽  
Thermo Fisher Scientific ◽  
Formalin Fixed Paraffin Embedded ◽  
Sequencing Platforms ◽  
Generation Sequencing

In the present study, we analysed 44 formalin fixed paraffin embedded (FFPE) from different solid tumours by adopting two different next generation sequencing platforms: GeneReader (QIAGEN, Hilden, Germany) and Ion Torrent (Thermo Fisher Scientific, Waltham, Massachusetts, USA). We highlighted a 100% concordance between the platforms. In addition, focusing on variant detection, we evaluated a very good agreement between the two tests (Cohen’s kappa=0.84) and, when taking into account variant allele fraction value for each variant, a very high concordance was obtained (Pearson’s r=0.94). Our results underlined the high performance rate of GeneReader on FFPE samples and its suitability in routine molecular predictive practice.

scholarly journals Correction: First evaluation of the Next-Generation Sequencing platform for the detection of HIV-1 drug resistance mutations in Belgium

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211587
Author(s):  
Géraldine Dessilly ◽  
Léonie Goeminne ◽  
Anne-thérèse Vandenbroucke ◽  
François E. Dufrasne ◽  
Anandi Martin ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Next Generation Sequencing ◽  
Next Generation ◽  
Resistance Mutations ◽  
Sequencing Platform ◽  
Drug Resistance Mutations ◽  
Next Generation Sequencing Platform ◽  
Generation Sequencing ◽  
Hiv 1
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