As expected, predictions of protistan richness based on single PCR primer datasets were lower than those based on pooled clone data (Table 1).
For all elements in unpristine tephra, all concentrations below the 75th percentile of their respective datasets are lower than even the lowest concentrations in the pristine dataset.
The rates of pneumococcal infection from the two datasets are lower than in studies in other countries [ 3], but are higher than those previously described in the UK [ 18, 19].
By limiting ourselves to Gene Ontology terms whose total prevalence in all the genes included in the expression dataset is lower than a given threshold M, we can make the majority rules imply statistical overrepresentation.
The pairwise sequence similarity in the dataset is lower than 40%.
While the bias observed in this dataset is lower than techniques such as mass spectrometry, it is still present (e.g. tail-anchored membrane proteins are expected to be under-represented).
This result could be explain by the read lengths were different (50 bp vs 75 pb) and SOLiD dataset is lower in quality, only 50 60% of reads mapped against a transcriptome reference [ 27, 28].
The number of shared motifs in the SEREX-ovarian dataset is lower than that in the Meta-UP collection, although comparable numbers of sequences were analyzed (81 in SEREX-ovarian and 86 in Meta-UP).
the actual mortality in our dataset was lower than that reported elsewhere, and significantly the SMR was less than one.
The proportion of cases with complete data in each simulated dataset was lower than that in the full dataset – 27percentt (1447 of 5443) compared with 49percentt (5443 of 11 211).
