In this work a new method for clustering and building a topographic representation of a bacteria taxonomy is presented. The method is based on the analysis of stable parts of the genome, the so-called "housekeeping genes". The proposed method generates topographic maps of the bacteria taxonomy, where relations among different type strains can be visually inspected and verified. Two well known DNA alignement algorithms are applied to the genomic sequences. Topographic maps are optimized to represent the similarity among the sequences according to their evolutionary distances. The experimental analysis is carried out on 147 type strains of the Gammaprotebacteria class by means of the 16S rRNA housekeeping gene. Complete sequences of the gene have been retrieved from the NCBI public database. In the experimental tests the maps show clusters of homologous type strains and presents some singular cases potentially due to incorrect classification or erroneous annotations in the database

Soft Topographic Map for Clustering and Classification of Bacteria

Giuseppe Di Fatta;Salvatore Gaglio;Riccardo Rizzo;Alfonso Urso;Massimo La Rosa;
2007

Abstract

In this work a new method for clustering and building a topographic representation of a bacteria taxonomy is presented. The method is based on the analysis of stable parts of the genome, the so-called "housekeeping genes". The proposed method generates topographic maps of the bacteria taxonomy, where relations among different type strains can be visually inspected and verified. Two well known DNA alignement algorithms are applied to the genomic sequences. Topographic maps are optimized to represent the similarity among the sequences according to their evolutionary distances. The experimental analysis is carried out on 147 type strains of the Gammaprotebacteria class by means of the 16S rRNA housekeeping gene. Complete sequences of the gene have been retrieved from the NCBI public database. In the experimental tests the maps show clusters of homologous type strains and presents some singular cases potentially due to incorrect classification or erroneous annotations in the database
2007
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-3-540-74824-3
Genomic Sequence Clustering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/13020
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