Articolo in rivista, 2019, ENG, 10.3390/genes10100834
Lenzini L.; Di Patti F.; Livi R.; Fondi M.; Fani R.; Mengoni A.
Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, Sesto Fiorentino, 50019, , Italy; Istituto Nazionale di Fisica Nucleare, Sesto Fiorentino, 50019, Italy; Centro Interdipartimentale per lo Studio delle Dinamiche Complesse, Sesto Fiorentino, 50019, , Italy; Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, Sesto Fiorentino, 50019, , Italy; Dipartimento di Biologia, Università degli Studi di Firenze, Sesto Fiorentino, 50019, Italy
In this paper, we propose a computational strategy for performing genome-wide analyses of intergenic sequences in bacterial genomes. Following similar directions of a previous paper, where a method for genome-wide analysis of eucaryotic Intergenic sequences was proposed, here we developed a tool for implementing similar concepts in bacteria genomes. This allows us to (i) classify intergenic sequences into clusters, characterized by specific global structural features and (ii) draw possible relations with their functional features.
Genes (Basel) 10 (10)
bacterial gene regulation, clustering method, complex systems, noncoding DNA
ID: 409383
Year: 2019
Type: Articolo in rivista
Creation: 2019-11-11 12:19:49.000
Last update: 2021-04-01 11:19:29.000
CNR authors
CNR institutes
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85074128051&partnerID=q2rCbXpz
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:409383
DOI: 10.3390/genes10100834
Scopus: 2-s2.0-85074128051