In general, a single spot-sample biomonitoring measurement can allow a cross-sectional evaluation of whether or not an exposure has occurred and some information on the magnitude of exposure, assuming the chemical measured is specific for a given exposure.
During the study, an intermediate estimation of the ICC can be assessed, thus allowing a sample size adjustment [ 11].
The amplification refractory mutation system (ARMS) can allow DNA sample with specific base (e.g., SNP) amplify successfully, which avoids the common PCR bias in the analyses of mixtures.
Aggregation of this information can allow larger sample sizes for certain rare diseases and is particularly useful for patients with a rare disease [ 7].
Last, the MSE of band-pass signal is improved which can allow multiple sampling rates in the system.
Finally, it can allow for a better sampling of the population, as it is easier (and probably cheaper) to get a wider coverage of the population's physical effort cost functions than of the monetary cost functions, and can thus offer us a bigger and more representative set of behaviors.
Fitting the correlation profile of synonymous substitutions within a metagenomics sample can allow one to infer the rate of recombination, gene pool diversity, the fraction of the genome covered by recombination and the relative age of the sample.
This, along with dividing the 454 microtiter plate, can allow for sequencing of thousands of samples with coverage of thousands of sequences per sample, all for the cost of under $20 000 and 1 day to perform the run.
And collaboration can allow data to be combined for larger sample sizes, a strategy that human genetic epidemiology has successfully used to boost the reliability of results in that field.
We discuss how the two methods of sampling can allow for all processes of 5-HT neurotransmission to be monitored.
