However, there has been some progress in developing both large sample and finite sample robustness of SEM parameters in handling non-normal data and outliers [ 25, 26].
Besides higher accuracy, the method also has a better sample robustness, which is easy to classify new samples.
Seven independent biological replicates were used for each sample ensuring robustness and quality of the dataset.
The automated protocol was evaluated by comparing it to the standard manual GS FLX Titanium library preparation protocol with respect to yield, sample throughput, robustness and sequence bias.
The aim is to develop a transportable system with analysis throughput which satisfies the requirements: (i) fully autonomous, (ii) complete protocol integration from sample collection to final analysis, (iii) detection of diluted molecules or biological species in a large real life environmental sample volume, (iv) robustness and (v) flexibility and versatility.
Nevertheless, current performance already enables the use of this device with many biologically relevant samples and the robustness and portability will allow using it in clinical environments.
This material makes the assemblies more robust, permitting several hundreds of analyses in a sequence, which is one of the ways to improve the robustness and sample throughput of automated SPME methods.
The group sizes of about 20 samples allow for statistical robustness and quality analysis.
Before the complete analysis of all informative samples, we tested the robustness and reproducibility of pyrosequencing compared with SNaPshot, the technique used in the original report (Valle et al, 2008), by randomly choosing 10 informative samples and measuring ASE using both techniques.
Consistency and asymptotic normality of the estimators are established and the robustness and small sample performance of the estimators are illustrated using simulations.
