Statistical differences in rarefaction curves among RT sample replicates from this study emphasize the importance of replication when measuring ecological diversity.
Statistical plots principal component analysis (PCA) and distance matrix analysis were generated with the same package to assess variance between sample groups and sample replicates (Fig. 3c,d).
Analysis of sample replicates revealed that reproducible calls had distinctly higher variant allele depths and frequencies compared to nonreproducible calls.
The mean reproducibility of analyses was ±0.1‰, estimated from sample replicates and 75 repeated analyses of an internal laboratory reference cellulose (Fluka-22181 cellulose powder, Sigma-Aldrich, Lot. 442654/1) analyzed alongside sample material.
At each site, three additional soil sample replicates of equal volume were collected from each soil depth using a cutting ring (100 cm3 volume) to determine soil bulk density.
Using the sample replicates, we propose a bootstrap procedure for inferring the significance of contributions on the leading dimensions by both the time-course experiments and the genes.
Quality control of analysis was carried out by using sample replicates and blanks.
The intra-sample replicates and the cross sample replicates for both 1D and MRM analysis showed a linearity that demonstrates the similarity of the data, indicating that the data for 1D and MRM are highly correlated.
QC sample replicates were used to calculate the median coefficient of variation (CV) for each detected peak.
For each pair, a null distribution of 1000 sample replicates was constructed.
All EMSA assays were performed for three sample replicates in each group.
