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

Raffaele Giancarlo, Marinella Sciortino, Alessandra Gabriele, Chiara Epifanio

Risultato della ricerca: Chapter

2 Citazioni (Scopus)

Abstract

Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAlgorithms in Computational Molecular Biology: Techniques, Approaches and Applications
Pagine-
Numero di pagine42
Volume2011
Stato di pubblicazionePublished - 2011

Serie di pubblicazioni

NomeWILEY SERIES IN BIOINFORMATICS

Fingerprint

Data Mining
Alignment
Information Theory
Combinatorics
Experiment
Review

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cita questo

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

Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining. / Giancarlo, Raffaele; Sciortino, Marinella; Gabriele, Alessandra; Epifanio, Chiara.

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. Vol. 2011 2011. pag. - (WILEY SERIES IN BIOINFORMATICS).

Risultato della ricerca: Chapter

Giancarlo, R, Sciortino, M, Gabriele, A & Epifanio, C 2011, Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining. in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. vol. 2011, WILEY SERIES IN BIOINFORMATICS, pagg. -.
Giancarlo R, Sciortino M, Gabriele A, Epifanio C. Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining. In Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. Vol. 2011. 2011. pag. -. (WILEY SERIES IN BIOINFORMATICS).
Giancarlo, Raffaele ; Sciortino, Marinella ; Gabriele, Alessandra ; Epifanio, Chiara. / Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. Vol. 2011 2011. pagg. - (WILEY SERIES IN BIOINFORMATICS).
@inbook{19662000066d4f30b6383a1832210850,
title = "Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining",
abstract = "Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.",
keywords = "Alignment-free distances for biological sequences;",
author = "Raffaele Giancarlo and Marinella Sciortino and Alessandra Gabriele and Chiara Epifanio",
year = "2011",
language = "English",
isbn = "0470505192",
volume = "2011",
series = "WILEY SERIES IN BIOINFORMATICS",
pages = "--",
booktitle = "Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications",

}

TY - CHAP

T1 - Novel Combinatorial and Information Theoretic Alignment Free Distances for Biological Data Mining

AU - Giancarlo, Raffaele

AU - Sciortino, Marinella

AU - Gabriele, Alessandra

AU - Epifanio, Chiara

PY - 2011

Y1 - 2011

N2 - Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.

AB - Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.

KW - Alignment-free distances for biological sequences;

UR - http://hdl.handle.net/10447/45988

M3 - Chapter

SN - 0470505192

VL - 2011

T3 - WILEY SERIES IN BIOINFORMATICS

SP - -

BT - Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

ER -

Accesso al documento