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Table 3 Classification of the genes in each cluster into GO categories

From: Metabolic network driven analysis of genome-wide transcription data from Aspergillus nidulans

Cluster Number of genes in cluster Biological processes Molecular functions
Cluster 1 280 Ribosome biogenesis
Cytoplasm organization and biogenesis
Ribosome biogenesis and assembly
RNA binding
SnoRNA binding
Nucleic acid binding
Cluster 2 146 Alcohol metabolism
Monosaccharide metabolism
Monosaccharide catabolism
Translation elongation factor activity
Carbohydrate kinase activity
Thryptophan synthase activity
Cluster 3 184 Karyogamy
Karyogamy during conjugation with cellular fusion
Glucan metabolism
DNA binding
Protein kinase regulator activity
Kinase regulator activity
Cluster 4 206   Peroxidase activity
Oxidoreductase activity, acting on peroxide as acceptor
Cluster 5 92   Oxidoreductase activity
Pyruvate dehydrogenase activity
Pyruvate dehydrogenase (acetyl transferring) activity
Cluster 6 125 Generation of precursor metabolites and energy
Energy derivation by oxidation of organic compounds
Fatty acid β-oxidation
Oxidoreductase activity
Triose-phosphate isomerase activity
Allophanate hydrolase activity
Cluster 7 254 Cofactor metabolism
Coenzyme metabolism
Generation of precursor metabolites and energy
Hydrogen ion transporter activity
Monovalent inorganic cation transporter activity
Lyase activity
Cluster 8 212 Protein biosynthesis
Cellular biosynthesis
Macromolecule biosynthesis
Structural constituent of ribosome
Structural molecule activity
Peptidyltransferase activity
  1. The genes in each cluster are classified into GO categories (provided by CADRE), according to the three most important biological processes and molecular functions. The fields with fewer than three categories correspond to cases in which the P values were above the cutoff selected in the GO term analysis. The sum of the number of genes in each cluster is not equal to the total number of differentially expressed genes (1,534) because 35 genes were discarded in the clustering analysis (see Analysis of transcriptome data, under Materials and methods).