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Soft Topographic Map for Clustering and Classification of Bacteria

Contributo in Atti di convegno
Data di Pubblicazione:
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
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Genomic Sequence Clustering
Elenco autori:
Gaglio, Salvatore; DI FATTA, Giuseppe; LA ROSA, Massimo; Rizzo, Riccardo; Urso, Alfonso
Autori di Ateneo:
LA ROSA MASSIMO
RIZZO RICCARDO
URSO ALFONSO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/13020
Titolo del libro:
Advances in Intelligent Data Analysis VII
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URL

http://link.springer.com/chapter/10.1007%2F978-3-540-74825-0_30
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