“highly significant”

We further validated the relationship between UMOD and NKCC2, by Taqman qRT-PCR, showing a highly significant correlation of expression (p = 2.2e−16, R = 0.844) (n = 86).

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 ).

A linear statistical model for the rate constant of photoinhibition ( k PI ) was highly significant ( F (8,95) = 50.3, P < 2.2 × 10 −16 ) and showed that k PI was significantly affected by light color (coefficient 0.70 ± 0.0095, P = 6.75 × 10 −11 ) and leaf group (coefficient 0.016 ± 0.0069, P = 0.0256) but not by the other variables (see Summary of statistics available as Supplementary data at Tree Physiology Online).

The slope coefficients were highly significant ( p -values < 2.2 × 10 −16 ), confirming a strong linear relationship between er and the IM-MS responses.

Consistent with this, many of these genes (80/173) were also downregulated in the DIG1 residual profile, a highly significant enrichment (Fisher’s exact test, 1-tailed: P < 2.2e−16).

The Wilcoxon–Mann–Whitney test confirmed that these differences were highly significant ( p -value < 2.2 × 10 −16 ). 3.3.

Thus, because there are three possible replacement nucleotides per site, WC sites are ∼66% saturated and nWC sites are ∼90% saturated, and this difference is highly significant ( p <2.20×10 −16 , Binomial test; see Materials and Methods for details).

We calculated an odds ratio for this value using a Fisher's exact test and found this association to be highly significant (odds ratio=3.02; P <2.2×10 −16 ).

A Fisher’s exact test confirmed that this difference is highly significant ( P < 2.2 × 10 –16 ), with an odds ratio of 2.76.

The difference was highly significant ( P -value < 2.2 × 10 −16 ) with cGD averaging 5.8 for populations belonging to the same SDRN and 22.8 for populations that did not belong to the same SDRN.

As expected, we observed a highly significant difference between RefSeq mRNAs (NM) and RefSeq non-coding RNAs (NR) for both the CPC and the RNA-code score (CPC t = 56.4326 [2.239631;2.400904], p-value<2.2×10 −16 , RNAcode t = 39.6171 [34.44711;38.03595], p-value<2.2×10 16 ).

This is exemplified by the colocalization of DPDs with regions of higher CpG density ( Figure 6B ) and a robust and highly significant negative correlation between CpG density and PMDs (r = −0.64, P<2.2×10 −16 ).

This difference was highly significant ( χ 2 = 482.2; P < 2.2e -16 ), indicating that ancient gene pairs have been highly dispersed.

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).

Conversely, a robust positive correlation was observed between PKMYT1 expression and TMB, with a correlation coefficient of R=0.4 and a highly significant P value ( Figure 5C , P<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.

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.

This correlation is also highly significant when averaging polymorphism and divergence within 10-bp adjacent windows ( ρ = 0.50; P < 2.2 × 10 −16 ; fig. 1 ).

Results Phenotypic variance decomposition and heritability of partial resistance to bacterial canker Considering differences between all controls and inoculated shoots regardless of the genotype effect, a highly significant effect of bacterial inoculation was observed (Wilcoxon unilateral t.test p < 2.2E-16) for lgc whatever the year and for bs in 2013 and 2015 (lesser extent in 2014 p < 9.77E-12 and 2016 p < 9.06E-06).

We observe a highly significant 3-way MT × N × E interaction ( P << 2.2 × 10 −16 ) ( Table 1 ) and highly significant MT × N epistasis within each of the 6 conditions ( Table 2 ).

A one-way ANOVA confirmed that the differences among residue classes are highly significant ( F (3, 14,983) = 682.6, p < 2.2 × 10 –16 ), supporting the hypothesis that CDR loops correspond to weakly coupled, energetically uncoupled regions when compared to the structural core of nanobodies.

The difference between the nuclear area of cells from infected and uninfected plants was highly significant (based on the Brown–Mood median test, p = 2.2e-16), and the nuclear area of cells from P. brassicae -infected plants was 2.8 times bigger based on the median size.

Transcripts that lose m6A during differentiation show highly significant increase in TE in glioblastoma samples irrespective of subtype (GSC1: p<2.2e-16, GSC2: p<3.4e-11, GSC3: p<2.2e-16) (Fig B in S1 Text ).

ST6GALNAC1 expression showed highly significant tumor–normal differences in both external datasets ( GSE71187 and GSE87211 ; Wilcoxon p < 2.2e − 16 in each; Fig. 13 A), providing the most consistent external expression evidence among the three model genes.

The overall model was highly significant [ F (7, 3,992) = 371.3, p < 2.2 × 10 –16 ] and accounted for approximately 39% of the variance in log-transformed cattle infections.