Construction of Gene Interaction Network with Computational Life

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The following results were obtained by the construction of gene interaction network with computational life. For the model of gene interaction network, a method was developed for the functional annotation of genes. As the target of our research, the mouse full-length cDNA sequences, which were sequenced by RIKEN Genome Science Center, were clustered with their sequence similarity, the candidates for commonly conserved regions were explored, and 16 new motif candidates were obtained by removing the motifs found in known databases such as Inter Pro. Ten of the detected motif candidates were functionally annotated by various analyses, such as homology to the known gene sequences, the location of chromosomes, the predictions of protein secondary structure and transmembrane regions.Databases for expression profiles of the mouse genes at various developmental phases and tissues were developedfor the mouse cDNA microarray, which were developed at RIKEN Genome Science Center. A set of genes related to developmental phases, tissue specificity and metabolic pathway were elucidated by the clustering of gene expression profiles. Although many researchers have already done the functional predictions of a set of genes with microarray data, the elucidation of functional relationships of given genes and the gene finding with unknown functions became able to do using reliable annotations by the FANTOM consortium.