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. 2018 Feb 14;9:137. doi: 10.3389/fpls.2018.00137

Table 7.

Gene ontology enrichment on the 182 set of common genes using the tools available at Boyce Thompson Institute, Cornell University (http://bioinfo.bti.cornell.edu/cgi-bin/MetGenMAP/home.cgi).

Gene ontology term Number of genes Cluster frequency (%) Genome frequency (%) Corrected p-value
Unfolded protein binding 3 1.6 0.2 0.038
Structural molecule activity 11 6.0 0.7 0.000
Structural constituent of ribosome 10 5.5 0.5 0.000
Small molecule binding 16 8.8 3.9 0.028
Small GTPase regulator activity 3 1.6 0.1 0.032
Ribonucleotide binding 11 6.0 2.0 0.025
Purine ribonucleotide binding 11 6.0 2.0 0.023
Purine ribonucleoside triphosphate binding 11 6.0 2.0 0.025
Purine nucleotide binding 11 6.0 2.0 0.021
Protein binding 44 24.2 11.9 0.000
Oxidoreductase activity acting on NADH or NADPH 4 2.2 0.2 0.003
Oxidoreductase activity 16 8.8 2.8 0.000
Organic cyclic compound binding 16 8.8 3.3 0.013
Nucleotide binding 16 8.8 3.3 0.015
Nucleoside phosphate binding 16 8.8 3.3 0.012
Catalytic activity 53 29.1 17.9 0.000
Binding 79 43.4 25.1 0.000
ATP binding 9 4.9 1.4 0.020
Adenyl ribonucleotide binding 9 4.9 1.4 0.019
Adenyl nucleotide binding 9 4.9 1.4 0.020

The table shows the cluster frequency (the 182 genes) compared to the genome frequency for each category with the FDR-corrected p-value. The three categories (structural constituent of ribosomes, small GTPase regulator activity and oxidoreductase activity acting on NADH or NADPH) are where there is the biggest difference between the genome frequency and the cluster frequency.