In this paper we introduce a new alignment-free method for comparing sequences which is combinatorial by nature and does not use any compressor nor any information-theoretic notion. Such a method is based on an extension of the Burrows-Wheeler Transform, a transformation widely used in the context of Data Compression. The new extended transformation takes as input a multiset of sequences and produces as output a string obtained by a suitable rearrangement of the characters of all the input sequences. By using such a transformation we give a general method for comparing sequences that takes into account how much the characters coming from the different input sequences are mixed in the output string. Such a method is tested on a real data set for the whole mitochondrial genome phylogeny problem. However, the goal of this paper is to introduce a new and general methodology for automatic categorization of sequences.

MANTACI, S., RESTIVO, A., ROSONE, G., SCIORTINO, M. (2008). A New Combinatorial Approach to Sequence Comparison. THEORY OF COMPUTING SYSTEMS, 42(3), 411-429 [10.1007/s00224-007-9078-6].

A New Combinatorial Approach to Sequence Comparison

MANTACI, Sabrina;RESTIVO, Antonio;ROSONE, Giovanna;SCIORTINO, Marinella
2008-01-01

Abstract

In this paper we introduce a new alignment-free method for comparing sequences which is combinatorial by nature and does not use any compressor nor any information-theoretic notion. Such a method is based on an extension of the Burrows-Wheeler Transform, a transformation widely used in the context of Data Compression. The new extended transformation takes as input a multiset of sequences and produces as output a string obtained by a suitable rearrangement of the characters of all the input sequences. By using such a transformation we give a general method for comparing sequences that takes into account how much the characters coming from the different input sequences are mixed in the output string. Such a method is tested on a real data set for the whole mitochondrial genome phylogeny problem. However, the goal of this paper is to introduce a new and general methodology for automatic categorization of sequences.
2008
MANTACI, S., RESTIVO, A., ROSONE, G., SCIORTINO, M. (2008). A New Combinatorial Approach to Sequence Comparison. THEORY OF COMPUTING SYSTEMS, 42(3), 411-429 [10.1007/s00224-007-9078-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/13319
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