Significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Significant associations in GWAS. by Dai Nogimura (21445649)

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eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

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Details of significantly differentially abundant metabolites (<i>PPP1CC</i>-SSKO vs control). by Jiahong Sun (6497603)

Genes significantly affected by deletion of <i>ryfA</i>. by Hicham Bessaiah (6840980)

“…Genes upregulated (yellow rectangles) and downregulated (blue rectangles) by at least 1.7-fold were considered significant with P < 0.05. …”

Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values). by Eiman Y. Ibrahim (10731078)

“…<p>Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values).…”

Genome-wide significant SNPs for meat L*15 min and a*15 min. by Jiahong Sun (6497603)

<i>BZP4</i> expression differs significantly between genotypes. by Thomas J. C. Sauters (17382864)

“…</b> A hierarchically clustered heatmap of genes that strongly correlate with <i>BZP4</i> expression and are differentially expressed based on the <i>BZP4</i> allele in amoeba treated samples. …”

Comparison of questionnaire scores among genotypes for the significant associations. by Dai Nogimura (21445649)

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Top 10 significant functional annotations of down-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

Primers used for analysis of four SNPs in one gene. by Winnie Okore (14139712)

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Information of QTL interval and lead SNP significantly associated with meat color in fast-growing white-feathered chickens. by Jiahong Sun (6497603)

The–log p-value graphs for LOO-V analysis for each significant window for <i>BRCA2</i>, <i>BRCA1</i>, <i>SMG1</i>. by Cavin Wong (7330154)

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”