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Congruence between experiments was calculated using the Pearson product-moment correlation coefficient between the respective similarity matrices.
Co-occurrence of genomic chromatin state annotation between experiments was calculated as the number of bins that were annotated as a particular chromatin state combination in two experiments divided by the total number of bins annotated to those states in the respective experiments.
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The average of three experiments was calculated.
The mean of three individual experiments was calculated.
The mean from three independent experiments was calculated.
The normalized microarray data are shown in Additional file 3. The coefficients of determination (R values) between the twenty seven experiments were calculated to quantify experimental variability between biological replicates (Additional file 4).
Positional intersecting ChIP regions between two replicate experiments were calculated; thus, these regions represented genomic regions that were identified in both ChIP-on-chip replicates.
Standard deviation between triplicates from qRT-PCR experiments were calculated according to the ΔΔ Ct method presented by Applied Biosystems.
Differences between cumulative dose response curves of myograph experiments were calculated using non-linear regression analysis.
All qRT-PCR experiments were calculated using REST2009.
For each replicated experiment within a dataset, the mean transcript value per experiment was calculated.
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