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Table 4 Read quality filtering on two sequencing platforms

From: Impact of sequencing depth and technology on de novo RNA-Seq assembly

Platform Name Adapter Low Quality N%
DNBseq™ ERR1831362 125 926 0.26% 1 424 492 2.96% 769 503 1.60%
ERR1831363 79 533 0.27% 871 008 2.92% 479 635 1.61%
ERR1831364 127 069 0.23% 1 476 496 2.69% 869 764 1.58%
ERR1831365 103 994 0.29% 1 051 568 2.92% 588 427 1.63%
ERR1831366 110 324 0.25% 1 060 462 2.43% 711 236 1.63%
ERR1831367 132 461 0.24% 1 581 470 2.87% 901 123 1.64%
ERR1831368 133 444 0.25% 1 588 843 2.98% 875 865 1.64%
ERR1831369 152 027 0.23% 1 825 708 2.79% 1 049 309 1.60%
ERR1831370 83 674 0.28% 898 776 3.02% 484 541 1.63%
HiSeq SRR1261168 3 497 0.00% 30 319 019 22.47% 466 900 0.35%
SRR1261170 509 0.00% 33 381 937 45.79% 6 147 822 8.43%
SRR950078 1 313 463 1.31% 20 004 668 19.93% 1 307 643 1.30%
SRR950080 2 022 559 2.20% 18 689 016 20.36% 1 194 269 1.30%
SRR950084 4 443 842 3.55% 25 596 160 20.46% 1 675 649 1.34%
  1. The columns show the number and percentage of reads filtered out based on them containing adapter sequence, having too many low quality bases, and having too many ambiguous bases