We found that co-occurrences of frequent CNAs within a sample were common; indeed, a majority of samples (249 out of 345) contained 2 or more of the frequent CNAs listed in Table 1.
Multiple titers to different serovars or serogroups in the same serum sample are common with serologic testing and difficult to interpret.
Therefore, if the data are very large (several million reads per sample are common), it is advisable to sample a random subset (say 10,000 reads) and carry out the steps below to make sure quality is reasonable and the read conforms to the experimental design.
Sparse sampling is common to experiments using small animals, such as the case that our study is concerned with.
Repeated blood culture sampling is common in critically ill neonates though precise indications are unknown.
A single individual of respective accessions rather than population-based sampling is common however from these earlier publications.
The use of Latin Hypercube Sampling is common in global approaches to the analysis of complex biochemical networks such as the ones based on Global Sensitivity Analysis.
However, it is a well known fact that biases in sampling are common and sampling assumptions are not always met with [ 3].
Yet applications in which tens, hundreds or thousands of defined genomic regions need to be interrogated in a large number of samples are common.
