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A New Tree Distance Metric for Structural Comparison of Sequences

Matthias Gallé 1, * 
* Corresponding author
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In this paper we consider structural comparison of sequences, that is, to compare sequences not by their content but by their structure. We focus on the case where this structure can be dened by a tree and propose a new tree distance metric that capture structural similarity. This metric satises non- negativity, identity, symmetry and the triangle inequality. We give algorithms to compute this metric and validate it by using it as a distance function for a clustering process of slightly modied copies of trees, outperforming an existing measure.
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Submitted on : Tuesday, January 25, 2011 - 12:31:53 PM
Last modification on : Friday, February 4, 2022 - 3:15:11 AM
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  • HAL Id : inria-00559265, version 1


Matthias Gallé. A New Tree Distance Metric for Structural Comparison of Sequences. Dagstuhl Seminar: Structure Discovery in Biology: Motifs, Networks & Phylogenies, Jun 2010, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany. ⟨inria-00559265⟩



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