Anno2011
AutoriMenconi G, Puliti A, Sbrana I, Conti V, Marangoni R
AbstractThis paper presents a top-down strategy to detect features in genomic sequences. The strategy's core is to exploit dictionary-based compression algorithms and analyse the content of the automatically generated dictionary. We classify the different over-represented segments and in the case study we correlate them to experimentally identified or theoretically forecasted biological features. A large spectrum analysis reveals that the only feature co-located with the a priori extracted segments is the torsional flexibility of DNA, while non-B DNA configurations are anti-localized and other features are mostly independent of the extracted sequences. This analysis unravels complex relationships between the linguistic structures investigated under our approach and some known biological features.
RivistaJournal Of Theoretical Biology
ISSN
Impact factor2
Volume270
Pagina inizio134
Pagina fine142
Autori IBFRoberto MARANGONI
Linee di Ricerca IBFMD.P01.003.001
Sedi IBFIBF.PI