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While only 29 transcripts (9 in hHSC and 20 in hPaSC, approximately 0.1% of the dataset) were determined to be enriched in the transcriptomic analysis [31], we identified a total of 334 proteins (177 in hHSC and 157 in hPaSC, approximately 5% of our dataset) that were enriched in either sample.

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Based on a defined threshold volume, each voxel within the dataset is determined to be either part or not part of the object of interest, thus defining the surface.

As datasets were determined to be significantly different from a Gaussian distribution using the Shapiro-Wilk test, nonparametric tests corrected for ties were used.

Among 18,398 genes in the dataset, 5,518 genes were determined to be induced or repressed significantly.

Of the 95 acceptable datasets, 31 of these were determined to have an immature (n = 13) or mature (n = 18) night time Trec patterns (Table 1).

Thus, nearly 76% of the reference structures in this dataset were determined by in vitro methods.

The best fitting substitution models for each dataset were determined with the Akaike Information Criterion AICC) using ModelTest 3.06 [ 87].

Here, the intersection between the genes in dataset Reg_M and the 216 misregulated genes (dataset Mis) was determined to be 92 genes.

If a cluster region had small RNAs in both the WT and Miwi2 −/− datasets, it was determined to be MIWI2 independent.

Also the datasets were determined and normalized to the interval [ -1,1)] to phase the problem of prevalence of features with wider range over the ones with a narrower range, without being more important [ -1,1

The length of run (number of generations) for each dataset was determined using AWTY graphical system [ 44] to check the convergence of MCMC.

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