Host: The Japanese Society of Plant Physiologists
Pages 0122
We previously developed an algorithm for inferring co-expressed genes using network analysis. Here, we applied the algorithm to a dataset of Arabidopsis DNA microarrays including 1,388 chips. From 22,263 genes, we obtained approximately 300 sets of genes that are highly correlated within individual sets, or co-expressed. The genes in individual sets are functionally related to each other. To systematically infer biological processes associated with individual gene sets, a public database of the co-expressed gene sets was constructed. The database provides information for the individual co-expressed gene sets such as co-expression networks and functional description of genes, and information for the biological processes such as metabolic pathways assignment. Dissimilar to other public co-expression databases that can search genes co-expressed with the query genes (genes-to-genes), our database allows the search for biological processes associated with the co-expressed gene sets (genes-to-processes), which facilitates advanced functional annotations of Arabidopsis genes.
