—Genomes may be analyzed from an information viewpoint as very long strings, containing functional elements of variable length, which have been assembled by evolution. In this work, an innovative information theory based algorithm is proposed, to extract significant (relatively small) dictionaries of genomic words. Namely, conceptual analyses are here combined with empirical studies, to open up a methodology for the extraction of variable length dictionaries from genomic sequences, based on the information content of some factors. Its application to human chromosomes highlights an original inter-chromosomal similarity in terms of factor distributions
A Word Recurrence Based Algorithm to Extract Genomic Dictionaries / Bonnici, Vincenzo; Franco, Giuditta; Manca, Vincenzo. - 1:(2021). (Intervento presentato al convegno BIOTECHNO 2021, The Thirteenth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies).
A Word Recurrence Based Algorithm to Extract Genomic Dictionaries
vincenzo bonnici
;
2021-01-01
Abstract
—Genomes may be analyzed from an information viewpoint as very long strings, containing functional elements of variable length, which have been assembled by evolution. In this work, an innovative information theory based algorithm is proposed, to extract significant (relatively small) dictionaries of genomic words. Namely, conceptual analyses are here combined with empirical studies, to open up a methodology for the extraction of variable length dictionaries from genomic sequences, based on the information content of some factors. Its application to human chromosomes highlights an original inter-chromosomal similarity in terms of factor distributionsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
