Applications and New methods for Identification/ Classification of Bacteria

Abstract

Information science has wide applications, and it provides a useful tool for basic medical researches. This paper shows two examples recently developed by our group. One is to search useful probes to directly idetify the higher ranks of bacterias in taxonomy, and the second is to classify the archaea based on the lipid component parts. These two are done in the same way 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 16S rRNA gene of 2206 bacterial species is shown as the first major result.