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We showed that the differences in calculated aqueous concentrations between sampler types are mainly associated with different applied uptake models.
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Tabulated 454 sequencing data for miRNA abundance in all datasets, as well as miRNA names and abundance ratios for all pairwise comparisons between sample types, are provided in their entirety in Table S2.
Differences in the relative abundances of microbial groups between sample types were assessed by the two-tailed Student's t-test for unequal variance (logit-transformation of abundance data did not alter the reported results for untransformed data).
By changing both the percentage of reads and read coverage settings, the concordance rate between sample types was increased from 96.33% to 99.82%.
The differences between sample types were large:; 54% of men and 55% of women in the Boost sample met the government's 5-a-day recommendation, compared with 38% of men and 42% of women in the Core (Table 3).
The transcriptomic change between two sample types was presented by the mean of all pairwise distances between members of the two groups concerned.
In comparison, culture concordance between the sample types was seen in only 19 cases (12%), driven largely by no detection reported in the BSI culture results.
The quality of data, reproducibility, and correlation between the two sample types were assessed.
The overall concordance rate for HG between the two sample types was 75% (224 patients), Kappa 0.59.
In all these reports, the genes differentially expressed between each two sample types were identified independently, and in some studies were classified according to GO groups.
Two sample types were employed.
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