Hierarchical Alignment Graph for Gene Teams Finding on Whole Genomes

A new computational issue is to detect gene knowledge from comparison of two or more genomes. Many researchers have studied these methods to try identify clusters of orthologous genes that have the same function in several genomes. These researches often seem simple, but the genes closely placed in the genomes of different species are produced proteins that interact each other. The problem of previous approaches is the order of genes in a gene cluster and the gaps between adjacent genes in the cluster are less than a given threshold. Previous approaches between two or more genomes consider the noisy genes between two adjacent genes. We propose a new method for detecting gene clusters in two genomes using hierarchical alignment graph.