Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining

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Abstract

Among the plethora of alignment-freemethods for comparing biological sequences, thereare some that we have perceived as representative of the novel techniques that havebeen devised in the past few years and as being of a fundamental nature and ofbroad interest and applicability, ranging from combinatorics to information theory.In this chapter, we review these alignment freemethods, by presenting both theirmathematical definitions and the experiments in which they are involved in.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAlgorithms in Computational Molecular Biology: Techniques, Approaches and Applications
Numero di pagine42
Stato di pubblicazionePublished - 2011

Serie di pubblicazioni

NomeWILEY SERIES ON BIOINFORMATICS

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All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cita questo

Epifanio, C., Sciortino, M., Giancarlo, R., & Gabriele, A. (2011). Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining. In Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (WILEY SERIES ON BIOINFORMATICS).