Since the OFR method relies on average sequence length of a dataset, major deviation from the average length caused by indels may impact the overall species recovery.
As the noise is present in microarray datasets, the deviation from actual value and expected value of each element in the dataset also exists.
However, as can be deducted from the good performance shown by Albiol's method on the PETS2009 dataset, those deviations from the model often compensate each other, and so the method gives a reasonable count, at least on the average.
Possible explanations for lower quality of the Hsp104N728A map, despite inclusion of almost double the amount of data as in the Hsp104 ΔN map, are heterogeneity of the Hsp104N728A dataset and/or deviations from the imposed symmetry.
Some Genome Analyzer datasets produce deviations in crosstalk, which appear intensity dependent.
Since the KS test here is applied to a very large dataset, any small deviation from the hypothesised distribution result in a rejection of the null hypothesis [33].
For each dataset the standard deviation of split frequencies was below 0.015 at the end of the run.
The performance of this Bayes factor was tested under simulation and on a real dataset, using the deviation information criterion (DIC) as the standard reference criterion.
Interestingly, this flux was indeed the most uncertain one in the original dataset (its standard deviation was a huge 44 mM/h for a nominal value of 64.8 nM/h).
The consistency is reasonably good for the majority of the tested datasets, with a deviation minor than 10% in carbon content for datasets; 1 4, 7 14, 46 48, 50, 51, 56 72.
