The 2D-annotation enrichment scores for representative GO biological processes (GOBP), GO cellular component (GOCC), GO molecular function (GOMF) and keywords were plotted for the proteome (DIA data) and transcriptome expression changes (GEO series accession number project GSE60144, [41]) at 2, 4, 16 and 24 hpi (no 2D enriched terms were observed at 8 hpi). The fold change of log2 transformed means of corresponding LFQ and RPKM values were plotted and only corrected p values ≤0.01 were considered. (TIF)</p
<p>Repertoire of enrichment dependencies of GO (gene ontology) terms on the order measures of regula...
<p>The pie chart shows the top ten counts of the significant enrichment terms. The ontology covers t...
Additional file 2: Table S1. List of statistically significantly overrepresented GO terms (GO biolog...
The 2D-annotation enrichment scores for representative GO biological processes (GOBP), GO cellular c...
Term enrichment was determined using the 1D annotation enrichment algorithm embedded in the Perseus ...
<p>Enriched GO cellular components (A), GO biological processes (B), and KEGG pathways (C). Terms re...
Quantitative proteomics now provides abundance ratios for thousands of proteins upon perturbations. ...
method integrating quantitative proteomics with complementary high-throughput data Juergen Cox*, Mat...
Term enrichment was determined using the 1D annotation enrichment algorithm embedded in the Perseus ...
<p>Bar graph represents the ratio of % composition of term in proteomic data vs. % composition in th...
<p>A GO analysis to categorize the differentially expressed genes into GO categories was performed. ...
<p>GO Terms are listed in functional groups. Enrichment values (relative to random expression) are s...
<p>The 13 most enriched clusters and characteristic examples of their GO Terms are shown, together w...
<p>The table lists the GO annotation terms for 91 genes that showed at least a twofold increase (<a ...
Transcriptomic profiling and proteomic analysis of mia40a mutants (Mut) compared to wild type (WT) a...
<p>Repertoire of enrichment dependencies of GO (gene ontology) terms on the order measures of regula...
<p>The pie chart shows the top ten counts of the significant enrichment terms. The ontology covers t...
Additional file 2: Table S1. List of statistically significantly overrepresented GO terms (GO biolog...
The 2D-annotation enrichment scores for representative GO biological processes (GOBP), GO cellular c...
Term enrichment was determined using the 1D annotation enrichment algorithm embedded in the Perseus ...
<p>Enriched GO cellular components (A), GO biological processes (B), and KEGG pathways (C). Terms re...
Quantitative proteomics now provides abundance ratios for thousands of proteins upon perturbations. ...
method integrating quantitative proteomics with complementary high-throughput data Juergen Cox*, Mat...
Term enrichment was determined using the 1D annotation enrichment algorithm embedded in the Perseus ...
<p>Bar graph represents the ratio of % composition of term in proteomic data vs. % composition in th...
<p>A GO analysis to categorize the differentially expressed genes into GO categories was performed. ...
<p>GO Terms are listed in functional groups. Enrichment values (relative to random expression) are s...
<p>The 13 most enriched clusters and characteristic examples of their GO Terms are shown, together w...
<p>The table lists the GO annotation terms for 91 genes that showed at least a twofold increase (<a ...
Transcriptomic profiling and proteomic analysis of mia40a mutants (Mut) compared to wild type (WT) a...
<p>Repertoire of enrichment dependencies of GO (gene ontology) terms on the order measures of regula...
<p>The pie chart shows the top ten counts of the significant enrichment terms. The ontology covers t...
Additional file 2: Table S1. List of statistically significantly overrepresented GO terms (GO biolog...