Clinomics Inc., Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan, 44919, Republic of Korea.
Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan, 44919, Republic of Korea.
Gigascience. 2021 Mar 12;10(3). doi: 10.1093/gigascience/giab014.
DNBSEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI using DNA nanoball and combinatorial probe anchor synthesis technologies to generate short reads at a very large scale-up to 60 human genomes per day. However, it has not been objectively and systematically compared against Illumina short-read sequencers.
By using the same KOREF sample, the Korean Reference Genome, we have compared 7 sequencing platforms including BGISEQ-500, DNBSEQ-T7, HiSeq2000, HiSeq2500, HiSeq4000, HiSeqX10, and NovaSeq6000. We measured sequencing quality by comparing sequencing statistics (base quality, duplication rate, and random error rate), mapping statistics (mapping rate, depth distribution, and percent GC coverage), and variant statistics (transition/transversion ratio, dbSNP annotation rate, and concordance rate with single-nucleotide polymorphism [SNP] genotyping chip) across the 7 sequencing platforms. We found that MGI platforms showed a higher concordance rate for SNP genotyping than HiSeq2000 and HiSeq4000. The similarity matrix of variant calls confirmed that the 2 MGI platforms have the most similar characteristics to the HiSeq2500 platform.
Overall, MGI and Illumina sequencing platforms showed comparable levels of sequencing quality, uniformity of coverage, percent GC coverage, and variant accuracy; thus we conclude that the MGI platforms can be used for a wide range of genomics research fields at a lower cost than the Illumina platforms.
DNBSEQ-T7 是一种全新的全基因组测序仪,由 Complete Genomics 和 MGI 公司基于 DNA 纳米球和组合探针锚定合成技术开发,可以大规模生成短读长,每天高达 60 个人类基因组。然而,它尚未与 Illumina 短读长测序仪进行客观和系统的比较。
通过使用相同的 KOREF 样本,即韩国参考基因组,我们比较了包括 BGISEQ-500、DNBSEQ-T7、HiSeq2000、HiSeq2500、HiSeq4000、HiSeqX10 和 NovaSeq6000 在内的 7 个测序平台。我们通过比较测序统计数据(碱基质量、重复率和随机错误率)、映射统计数据(映射率、深度分布和 GC 覆盖率百分比)以及变异统计数据(转换/颠换比、dbSNP 注释率和与单核苷酸多态性 [SNP] 基因分型芯片的一致性)来衡量测序质量。我们发现,MGI 平台在 SNP 基因分型方面的一致性高于 HiSeq2000 和 HiSeq4000。变异调用的相似性矩阵证实,这 2 个 MGI 平台与 HiSeq2500 平台具有最相似的特征。
总体而言,MGI 和 Illumina 测序平台在测序质量、覆盖均匀性、GC 覆盖率百分比和变异准确性方面表现相当;因此,我们得出结论,MGI 平台可以在成本上低于 Illumina 平台,用于广泛的基因组学研究领域。