Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a long procedure and the obtained dissimilarity results is not a metric. Recently the normalized compression distance was introduced as a method to calculate the distance between two generic digital objects, and it seems a suitable way to compare genomic strings. In this paper the clustering and the mapping, obtained using a SOM, with the traditional evolutionary distance and the compression distance are compared in order to understand if the two distances sets are similar. The first results indicate that the two distances catch different aspects of the genomic sequences and further investigations are needed to obtain a definitive result.

Comparison of Genomic Sequences Clustering using Normalized Compression Distance and Evolutionary Distance

La Rosa Massimo;Gaglio Salvatore;Rizzo Riccardo;Urso Alfonso
2008

Abstract

Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a long procedure and the obtained dissimilarity results is not a metric. Recently the normalized compression distance was introduced as a method to calculate the distance between two generic digital objects, and it seems a suitable way to compare genomic strings. In this paper the clustering and the mapping, obtained using a SOM, with the traditional evolutionary distance and the compression distance are compared in order to understand if the two distances sets are similar. The first results indicate that the two distances catch different aspects of the genomic sequences and further investigations are needed to obtain a definitive result.
2008
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
Ignac Lovrek; Robert J. Howlett; Lakhmi C. Jain;
Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part III
International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2008
740
746
978-3-540-85566-8
Springer
Berlin Heidelberg
GERMANIA
Sì, ma tipo non specificato
September 3-5, 2008,
Zagreb
4
none
LA ROSA, Massimo; Gaglio, Salvatore; Rizzo, Riccardo; Urso, Alfonso
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/70065
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