Table 2. Quality control analysis for RNA-seq data.
| Sample | ID | GC (%) | Q20 (%) | Q30 (%) |
|---|---|---|---|---|
| ♀1 | T01 | 37.48 | 94.06 | 89.46 |
| ♀2 | T02 | 37.05 | 94.20 | 89.78 |
| ♀3 | T03 | 36.86 | 94.22 | 89.77 |
| ♀4 | T04 | 37.65 | 94.22 | 89.77 |
| ♂1 | T05 | 36.82 | 94.50 | 90.22 |
| ♂2 | T06 | 37.04 | 94.51 | 90.25 |
| ♂3 | T07 | 37.29 | 94.28 | 89.84 |
| ♂4 | T08 | 36.25 | 94.45 | 90.16 |
Q (Quality) -score represents the accuracy of base recognition, Q-score = -10*log P where P represents the probability of an error in base recognition (Q30>85%), and GC (%) represents the proportion of GC bases of the entire database for each individual blood clam (T01-T08).