Identification of discriminative characteristics for clusters from biologic data with InforBIO software |
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| Authors: | Naoto Tanaka Masataka Uchino Satoru Miyazaki Hideaki Sugawara |
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| Institution: | (1) Center for Information Biology and DDBJ, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan;(2) Institute for Bioinformatics Research and Development (BIRD), Japan Science and Technology Corporation (JST), 5-3 Yonbancho, Chiyoda-ku, Tokyo 102-8666, Japan;(3) Laboratory of Information Biology, Faculty of Pharmaceutical Science, Tokyo University of Science, 2641 Yamazaki, Noda Chiba 278-8510, Japan;(4) Department of Applied Biology and Chemistry, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya-ku, Tokyo 156-8502, Japan;(5) SOKENDAI, Hayama, Kanagawa 240-0193, Japan |
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| Abstract: | Background There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial
taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics
than does phenotypic information. However, the integration of genotypic and phenotypic information for polyphasic studies
is necessary for the classification and identification of microbes. Thus, we devised an algorithm that objectively identifies
discriminative characteristics for focused clusters on generated trees from a dataset composed of coded data, such as phenotypic
information. Moreover, this algorithm has been integrated into the polyphasic analysis software, InforBIO. |
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