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. 2019 Jun 27;9:9345. doi: 10.1038/s41598-019-45835-3

Table 1.

Summary of the multiple sequencing datasets in this study.

Sequencing Samples Bases (Gbp) Read (×106) Clean rare >Q20 >Q30 GC content Mean coverage
BGISEQ500-WES 29.41 294.30 0.41% 96.72% 89.14% 49.75% 328.49X
MGISEQ2000-WES 16.34 163.55 0.25% 98.18% 92.08% 49.71% 129.40X
HiSeq4000-WES 41.93 283.70 4.46% 97.36% 93.01% 50.63% 395.17X
NovaSeq-WES 25.88 178.87 2.25% 95.33% 92.67% 49.73% 241.52X
BGISEQ500-WGS 126.86 1270.02 1.76% 93.73% 83.33% 41.76% 41.03X
MGISEQ2000-WGS 137.36 1374.87 0.21% 96.17% 88.19% 41.76% 45.13X
HiSeq4000-WGS 191.00 1276.10 8.25% 95.90% 90.11% 41.69% 58.00X
NovaSeq-WGS 98.30 657.45 1.28% 95.89% 93.86% 41.61% 28.96X
HiSeq Xten-WGS 134.00 894.58 7.29% 94.50% 87.63% 40.71% 38.93X

The sequencing datasets was generated from multiple sequencers in both BGI and Illumina platforms. The length of reads in each of BGI and Illumina platforms were PE100 and PE150, respectively. The clean data rare indicated that the percentage of reads with low quality trimmed by fastp. “>Q20/Q30 percentage” indicates the percent of bases with quality score (−10*lg (error rate)) higher than 20 and 30 (indicating error rates of 1% and 1‰, respectively). The Mean sequence Depth indicates the average sequencing depth of datasets.