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% | |