“highly significant”

The two-way ANOVAs demonstrated highly significant differences between the strains ( Pdyn F 1,216 = 79.25, p = 2.2×10 −16 ; Penk F 1,213 = 60.19, p = 3.54×10 −13 for the strain factor) and a significant interaction of both factors (strain x brain region: Pdyn F 3,216 = 8.79, p = 1.6×10 −5 ; Penk F 3,213 = 5.36, p = 1.4×10 −3 ).

Interplatform adjustment led to a highly significant increase in ICC coefficients (median (prior to interplatform adj., only intraplatform adj.) = 0.1; median (after interplatform adj.) = 0.46; P < 2.2 e − 16).

Flies (Diptera) were captured along all months under study and in all areas of the island ( Fig 10 ), but there were highly significant differences among months (G-test, G = 125.24, d.f. = 9, p = 2.2x10 -16 ).

The difference in variance across all probes between affected and unaffected twins was highly significant ( P <2.2 × 10 −16 ), with 52.4% of probes having higher variance in cases (binomial P -value<2.2 × 10 −16 ).

Analysis of application inflow Davies‘ test for significance of breakpoints resulted in a highly significant change in the slope of the participant inflow ( p -value < 2.2e − 16 ).

Similarly, the prevalence of typhoid was notably elevated in Bumbu (91.3%) compared to Bandal (77.4%), with a highly significant X 2 result ( p < 2.2 × 10 −16 ).

A highly significant correlation (R 2 = 0.94–0.96, P < 2.2e-16) confirmed the accuracy of the 3D scanning method ( Fig.

glaberrima are ∼99.5% identical on average, the differences in sequence conservation between promoters and intergenic sequences are small, but the large sample size assures that they are highly significant ( P value <2.2E−16).

The model describing recovery rate ( rr ) was highly significant ( X 2 = 27,605,272, df = 23, P< 2.2e -16 ), with each term of the model being significant ( S2 Table ).

Furthermore, we saw a slight but highly significant correlation (Pearson R 2 = 0.308452; P <2.2e -16 ) between a transcript sequence’s similarity to rRNA and the magnitude of the difference in coverage between the no selection and rRNA-depleted libraries (Additional file 11 : Figure S9 and Additional file 12 ).

Wilcoxon rank sum test with continuity correction revealed highly significant changes for old versus young cortex and hippocampus circRNA TPM values ( P < 2.2 E-16) ( Fig. 2d ).

All reported correlations were highly significant ( p < 2.2 × 10 −16 ).

This revealed a highly significant association between gene age and expression specificity in both species ( D. melanogaster : χ 2 = 1092.66, df = 5, p < 2.2 × 10 −16 ; A. aegypti : χ 2 = 890.74, df = 5, p < 2.2 × 10 −16 ), indicating that stage‐specific genes are significantly enriched for evolutionarily young genes. 2.4.

Furthermore, a linear model comparing the paired connectivity estimates from the 24-particle and 1-particle-per-day scenarios revealed a highly significant (p < 2.2e-16) and remarkably strong linear relationship, closely approaching a 1:1 correspondence (R-squared = 0.999; Fig. 3 ).

We observed a very weak but highly significant correlation in synonymous heterozygosity between species (Pearson’s r = 0.14, p<2.2e-16), consistent with some degree of conservation for genic parameters of mutation rates and/or selection at Drosophila synonymous sites [ 58 , 70 – 74 ].

At the nucleotide level, the nonrandom distribution among these genomic categories is highly significant ( P < 2.2 × 10 − 16 in a χ 2 test for independence).

0.00276, Fisher's exact test p-value = 1.34e-05), there is a highly significant excess of sites supporting the species topology (0.00229 vs. 0.00210, Fisher's exact test p-value < 2.2e-16) and deficit of sites in these regions supporting ILS topologies (0.00042 vs. 0.00066, Fisher's exact test p-value < 2.2e-16, Fig 2B and 2C ), which suggests that the observed reduction of ILS is not the result of a lower mutation rate.

The overall distribution of average within-pair DNA methylation differences showed a highly significant skew to the right in ASD-discordant twins ( P <2.2e−16, Kolmogorov–Smirnov test), with a higher number of CpG sites demonstrating a larger average difference in DNA methylation.

These differences in seed set between the ‘selfed’ and ‘tagged’ treatments between AZ-SC and the SI sites are highly significant ( F = 128, P < 2.2e-16 for selfed; F = 110.4, P = 2.2e-16 for tagged).

Interestingly, pairwise comparisons of the data from each analysis yielded highly significant positive correlations (Pearson’s test, P < 2.2 × 10 −16 ) ( Figure 3 ; Supplementary Table 3 , available online).

All correlations are statistically highly significant with a p -value < 2.2e-16.

The overlap between EgrNAC26-OX and EgrNAC61-OX datasets was highly significant ( P < 2.2 × 10 −16 ), only one transcript was alternately up- or down-regulated across time points, and DEGs common to EgrNAC26-OX and EgrNAC61-OX datasets were all up- or down-regulated concordantly, demonstrating robust and consistent activation of a subset of shared genes.

Results from Figure 3 showed a highly significant difference in MIC values among the treatments (χ 2 = 270.89, df = 5, p < 2.2 × 10 −16 ), with a very large effect size (ε 2 = 0.85, 95% CI [0.80, 0.89]).

DNA methylation at 84.7% of these sites was significantly associated with at least one common genetic variant using a stringent mQTL threshold (P < 1x10 -8 ) ( S2 Table ); this represented a highly significant enrichment for mQTL effects (P < 2.2x10 -16 ) compared to less-heritable DNA methylation sites (defined as those with A < 0.8), amongst which only 24.5% were associated with a mQTL variant.

As a positive control for the method, comparison of V H usage between RAG2 + BM and total non-sorted splenic B cells showed an expected highly significant difference (χ 2 test, P =2.2×10 −16 ) ( Supplementary Figure 13a ).