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 originale | English |
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| Titolo della pubblicazione ospite | Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications |
| Numero di pagine | 42 |
| Stato di pubblicazione | Published - 2011 |
Serie di pubblicazioni
| Nome | WILEY 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).