New Methods for Hierarchical Identification/Classification of Bacteria

Abstract

Information science has wide applications, and it provides a useful tool for basic medical researches. This paper shows the method recently developed by our group. The main porpose is to show the method wchich can search useful probes to directly idetify the higher ranks of bacterias in taxonomy, and the second is to classify bacteria based on the proposed method. This is done by a novel method, which introduces two indeces, Coincidence Ratio Inside Group (CRIG), and Coincidence Number Outside Group(CNOG). Using these two indeces, the usufulness of the probes are characterized, many hierachical objects are classified in a systematic way. Its application to the 16SrRNA gene of 2206 bacterial species is shown as the first major result.