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The ratios of invariant to variable mutations at non-synonymous and synonymous sites were calculated; significant differences between these values were identified using a G-test.
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The least significant difference (LSD) was determined at P ≤ 0.05 to calculate significant differences between treatments.
The least significant difference test at P ≤ 0.05 was used to calculate significant differences between means of treatments.
A Mann-Whitney test was used to calculate significant differences between untreated and diclofenac treated samples.
The Chi-Square test was used to calculate significant differences between categorical variables.
A permanova can take both continuous as discrete variables to calculate significant differences between multiple groups.
Variety-by-year interaction mean squares were used as the error term for calculating significant differences between variety means.
The chi-squared test and Fisher's exact test were used to calculate significant differences between patients and controls.
For calculating significant differences between the parental and the transfected cells or between treated and untreated samples, the two-tailed paired Student's t-test was used.
For Illumina, microarray results were normalized by quantile normalization and LIMMA was used to calculate significant differences between groups using slide number as a covariate to correct for chip-specific effects.
Students t-test (two-tailed) was used to calculate significant differences in enrichment between chromatin modifications, chromatin domain sizes, and CENP-A DXZ1 CENP-A DXZ1entratioss of normat X and deleted X centromeres.
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