In the search for the low-complexity sequences in prokaryotic and eukaryotic genomes: how to derive a coherent picture from global and local entropy measures

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dc.creatorAcquisti, Claudia
dc.creatorAllegrini, Paolo
dc.creatorBogani, Patrizia
dc.creatorBuiatti, Marcello
dc.creatorCatanese, Elena
dc.creatorFronzoni, Leone
dc.creatorGrigolini, Paolo
dc.creatorMersi, Giuseppe
dc.creatorPalatella, Luigi
dc.date2003-10-28
dc.date.accessioned2026-07-07T02:54:27Z
dc.date.available2026-07-07T02:54:27Z
dc.descriptionWe investigate on a possible way to connect the presence of Low-Complexity Sequences (LCS) in DNA genomes and the nonstationary properties of base correlations. Under the hypothesis that these variations signal a change in the DNA function, we use a new technique, called Non-Stationarity Entropic Index (NSEI) method, and we prove that this technique is an efficient way to detect functional changes with respect to a random baseline. The remarkable aspect is that NSEI does not imply any training data or fitting parameter, the only arbitrarity being the choice of a marker in the sequence. We make this choice on the basis of biological information about LCS distributions in genomes. We show that there exists a correlation between changing the amount in LCS and the ratio of long- to short-range correlation.
dc.identifierhttps://arxiv.org/abs/cond-mat/0310649
dc.identifierhttp://arxiv.org/abs/cond-mat/0310649
dc.identifierdoi:10.1016/S0960-0779(03)00435-1
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/22555
dc.subjectStatistical Mechanics
dc.subjectSoft Condensed Matter
dc.subjectGenomics
dc.titleIn the search for the low-complexity sequences in prokaryotic and eukaryotic genomes: how to derive a coherent picture from global and local entropy measures
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