Result: Longest motifs with a functionally equivalent central block

Title:
Longest motifs with a functionally equivalent central block
Source:
SPIRE 2004 : string processing and information retrieval (Padova, 5-8 October 2004)Lecture notes in computer science. :298-309
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 22 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Institut Gaspard-Monge, University of Marne-la-Vallée, 77454 Marne-la-Vallée, France
Department of Computer Science, King's College London, London WC2R 2LS, United Kingdom
Dipartimento di Matematica ed Applicazioni, University di Palermo, Via Archirafi 34, 90123 Palermo, Italy
Inria Rhône-Alpes, Laboratoire de Biométrie et Biologie Evolutive, University Claude Bernard, 69622 Villeurbanne, France
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16177859
Database:
PASCAL Archive

Further Information

This paper presents a generalization of the notion of longest repeats with a block of k don't care symbols introduced by [8] (for k fixed) to longest motifs composed of three parts: a first and last that parameterize match (that is, match via some symbol renaming, initially unknown), and a functionally equivalent central block. Such three-part motifs are called longest block motifs. Different types of functional equivalence, and thus of matching criteria for the central block are considered, which include as a subcase the one treated in [8] and extend to the case of regular expressions with no Kleene closure or complement operation. We show that a single general algorithmic tool that is a non-trivial extension of the ideas introduced in [8] can handle all the various kinds of longest block motifs defined in this paper. The algorithm complexity is, in all cases, in O(n log n).