Notably, transcriptomics, the simultaneous measurement of thousands mRNAs in a biological sample, has proved to be a robust tool, enhancing our understanding of many important physiological processes in marine biosystems [5], [6].
After the sample had proven to be representative of all hospital admissions, employees of the archive departments started searching for the records.
Since the method is very general there are numerous possible applications, especially in sampling of natural resources where spatially balanced sampling has proven to be efficient.
Mixing labeled and unlabeled samples has proven to be an effective approach to perform quantitation in proteomics, and similar approaches have recently been extended to metabolomics.
Recently, bacterial DNA measurement in blood samples has proven to be a reliable, non-invasive, and probably more sensitive surrogate marker for translocation of viable bacteria in cirrhosis [ 48, 60].
For example, achieving vapor-phase levels of higher-chlorinated PCB congeners in a laboratory setting that match those in environmental air samples has proven to be difficult (Hu et al. 2012).
Metagenomics, the analysis of DNA isolated from environmental samples, has proven particularly useful for the study of uncultured bacteria, given that it has been estimated that less than 1% of microorganisms found in natural environments can be cultured with currently available technologies [ 1].
However, they acknowledge that random sampling has proved inadequate because the explosions at the plant spread radioactive particles unevenly across communities, creating small "hot spots" of high radioactivity.
Karanth's technique of camera trapping and sampling has proved to be a much more effective tool.
The test sequence and the study approach, ten cows during three phases to be sampled, has proved useful.
