TABLE 2.
Effect of sample size on misclassifications
| Sample size | Ribosomal amplification | Avg % FP ± SDa | Avg % FN ± SDa |
|---|---|---|---|
| 5,000 (1×)b | Low | 18.4 ± 0.6 | 20.2 ± 0.7 |
| 5,000 (1×) | Medium | 17.3 ± 0.7 | 19.4 ± 0.7 |
| 5,000 (1×) | High | 17.8 ± 0.7 | 20.4 ± 0.7 |
| 50,000 (10×) | Low | 14.7 ± 0.6 | 16.2 ± 0.6 |
| 50,000 (10×) | Medium | 13.2 ± 0.6 | 14.5 ± 0.6 |
| 50,000 (10×) | High | 15.3 ± 0.6 | 16.9 ± 0.6 |
| 500,000 (100×) | Low | 14.1 ± 0.6 | 14.5 ± 0.7 |
| 500,000 (100×) | Medium | 9.2 ± 0.6) | 9.8 ± 0.5 |
| 500,000 (100×) | High | 14.0 ± 0.6 | 14.7 ± 0.6 |
| 5,000,000 (1,000×) | Low | 10.8 ± 0.7 | 10.8 ± 0.6 |
| 5,000,000 (1,000×) | Medium | 8.3 ± 0.6 | 8.4 ± 0.6 |
| 5,000,000 (1,000×) | High | 14.1 ± 0.7 | 14.1 ± 0.7 |
| 50,000,000 (10,000×) | Low | 10.7 ± 0.6 | 10.5 ± 0.7 |
| 50,000,000 (10,000×) | Medium | 8.1 ± 0.6 | 8.1 ± 0.6 |
| 50,000,000 (10,000×) | High | 14.0 ± 0.6 | 14.0 ± 0.7 |
a
The error rates are expressed as percentages of the populations that were detected in both DNA and RNA sampling profiles, and each value is the average of 100 independent iterations ± the standard deviation). With low sampling depths, the number of detected populations was less than the 5,000 input populations.
b
The parenthetical factors indicate the sampling depth as a multiple of the number of input populations (5,000) in the simulated community.