Graphs are a powerful data structure that can be applied to several problems in bioinformatics. Graph matching, in its diverse forms, is an important operation on graphs, involved when there is the need to compare two graphs or to find substructures into larger structures. Many graph matching algorithms exist, and their relative efficiency depends on the kinds of graphs they are applied to. In this paper we will consider some popular and freely available matching algorithms, and will experimentally compare them on graphs derived from bioinformatics applications, in order to help the researchers in this field to choose the right tool for the problem at hand.

Performance Comparison of Five Exact Graph Matching Algorithms on Biological Databases

CARLETTI, VINCENZO
Investigation
;
FOGGIA, PASQUALE;VENTO, Mario
2013-01-01

Abstract

Graphs are a powerful data structure that can be applied to several problems in bioinformatics. Graph matching, in its diverse forms, is an important operation on graphs, involved when there is the need to compare two graphs or to find substructures into larger structures. Many graph matching algorithms exist, and their relative efficiency depends on the kinds of graphs they are applied to. In this paper we will consider some popular and freely available matching algorithms, and will experimentally compare them on graphs derived from bioinformatics applications, in order to help the researchers in this field to choose the right tool for the problem at hand.
2013
9783642411892
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4199253
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 16
social impact