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Open AccessArticle

A Method for the Structure-Based, Genome-Wide Analysis of Bacterial Intergenic Sequences Identifies Shared Compositional and Functional Features

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Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, 50019 Sesto Fiorentino, Italy
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Istituto Nazionale di Fisica Nucleare, 50019 Sesto Fiorentino, Italy
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Centro Interdipartimentale per lo Studio delle Dinamiche Complesse, 50019 Sesto Fiorentino, Italy
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Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, 50019 Sesto Fiorentino, Italy
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Dipartimento di Biologia, Università degli Studi di Firenze, 50019 Sesto Fiorentino, Italy
*
Author to whom correspondence should be addressed.
Genes 2019, 10(10), 834; https://doi.org/10.3390/genes10100834
Received: 26 June 2019 / Revised: 7 October 2019 / Accepted: 16 October 2019 / Published: 22 October 2019
(This article belongs to the Special Issue Tools for Population and Evolutionary Genetics)
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. View Full-Text
Keywords: noncoding DNA; complex systems; clustering method; bacterial gene regulation noncoding DNA; complex systems; clustering method; bacterial gene regulation
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Lenzini, L.; Di Patti, F.; Livi, R.; Fondi, M.; Fani, R.; Mengoni, A. A Method for the Structure-Based, Genome-Wide Analysis of Bacterial Intergenic Sequences Identifies Shared Compositional and Functional Features. Genes 2019, 10, 834.

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