Table of Contents
B. Are there coverage differences by run?
When comparing averages of total counts between 4 runs, the second one shows the lowest average (254 524 616) but these differences aren't significant relative to the rest of groups (Kruskal-Wallis test: chi-squared = 4.3443, df = 3, p-value = 0.2266). So, the coverage is consistent along different runs.
| run | average | standard deviation |
|---|---|---|
| 1 | 265279432 | 16953421 |
| 2 | 254524616 | 10509431 |
| 3 | 263004861 | 19537820 |
| 4 | 263201736 | 12554904 |
Exploratory analysis doesn't show clear differences coverage between runs:
Clustering Analysis Plots
- The trees below show the samples in the study cluster together.
- Correlation and euclidean distances were used.
Principal Component Analysis Plots
- The PCA plots below show the first three principal components of all samples in the study.
- See here for details on Principal Component Analysis.
