Excerpts

Remarkably, we observed a highly significant negative correlation between B cell levels and HEUScore among all immune cell subtypes ( r = -0.8857, P < 2.2e-16) ( Figure 5G ).

The Spearman’s rank correlation coefficient of nucleotide diversity by gene between species was positive and highly significant for both diversity measures ( π : ρ = 0.36, P value < 2.2e-16; θ W : ρ = 0.38, P value < 2.2e-16) for a subset of 6,798 genes with these statistics available in both species ( supplementary fig.

A modest, but highly significant, increase in circRNA size was also observed, again consistent with the ESC retinal model ( Fig. 8 C, P <2.2E-16, Jonckheere-Terpstra test).

Strikingly, as in human cells, we found a highly significant correlation between 8-oxodG and γH2AX signals within the mouse genes (Pearson correlation test, r = 0.9; P < 2.2e–16) (Figure 4F ).

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

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.

Comparison of variance in global methylation between the depressed twin and their unaffected co-twin revealed a highly significant increased genome-wide variance in twins with MDD in both the UK and Australian cohorts ( P < 2.2 × 10 -16 in both datasets).

All correlations were highly significant (for all: P < 2.2 E-16; more details on performance estimates and model statistics, see Text S1 in the Supplementary Material).

The overall model was highly significant (likelihood ratio test = 256.5, p < 2.2 × 10−16).

The power of per-gene testing was constrained by sample size, but results were highly significant (Fisher Exact p-value < 2.2e-16) when variants were combined across all genes [Table S8].

Since this group represents 13% of the upstream regions in the genome, this is a highly significant enrichment ( Fig. 6c , Fisher's exact test, P < 2.2 × 10 −16 ).

There was a highly significant correlation ( r = 0.876, P -value <2.2 × 10 −16 ) ( Supplemental Fig.

These differences are highly significant (X 2 test p-value < 2.2e-16).

A Chi-square test comparing the observed and expected frequencies of different types of AA combinations gave a highly significant result for data pooled across phyla (X 2 = 255.35, df = 2, P < 2.2×10 −16 , Table 1 ).

In Additional file we present a case study (Additional file 1 : Figure S12), in which an asymmetric binding complex (the FOXA1/AR) showed a highly significant 4 bp shift between its components ( P < 2.2x10 -16 according to the Wilcoxon signed-rank test), while symmetrically binding controls show no shift (Additional file 1 : Figure S13), which gives further support to the general applicability of the analysis principle.

Comparing these data to that of Lmd revealed that a large (79.7%) and highly significant ( p <2.2×10 −16 , Fisher's exact test) proportion of Lmd direct target genes are also directly regulated by Mef2 ( Figure 1D ).

The high proportion of variation among environmental means in Figure 3 is supported by highly significant (p< 2.2e-16) differences among the mean effect of each environment.

While the remaining 533 genes were induced in both cell lines, there was a significant trend toward RBM12-dependent hyperactivation ( p < 2.2 × 10 −16 by Wilcoxon signed rank test).

In fact, the least significant (i.e., highest) p -value observed in any factorial ANOVA corresponded to a main effect term (intrinsic disorder in Plants: p = 4.13 × 10 −6 ), while all other terms across all analyses were highly significant ( p < 2.2 × 10 −16 ).

The sequencing data showed highly significant expression correlation with the array data ( R = 0.88, p < 2.2 × 10 −16 ) for 101 genes whose expression was significantly altered in KO mouse (Table S3 and Figure S8 ).

The effect of the fly strain on CCRT was highly significant (Kruskal–Wallis test, p < 2.2 × 10 −16 ).

This comparison also revealed highly significant, albeit slightly weaker correlations (Pearson correlation 0.73; P <2.2e-16; Figure S11 ) – similar to the results we obtained for chromosome 1 CNVs.

Moreover, the relationship between the two methods of load estimation was highly significant (F 1,72 = 2420, p = 2.2 × 10 −16 ), and the slope was not significantly different from 1 (0.96, 95% CI [0.97, 1.05]), supporting the hypothesis that only Wolbachia w Sc1 and w Sc2 circulate in the S. cleopatrae flea populations.

A Wilcoxon signed rank test, which compared the ranks based on the two methods, was highly significant ( P < 2.2 × 10 −16 ).

Statistical analysis using an independent two-sample t -test (Welch’s correction) revealed a highly significant difference in mean PC1 values between the two groups ( P < 2.2 × 10 −16 ).