http://www.cnr.it/ontology/cnr/individuo/prodotto/ID325788
Genome characterization through dichotomic classes: an analysis of the whole 22 chromosome 1 of a. thaliana (Articolo in rivista)
- Type
- Label
- Genome characterization through dichotomic classes: an analysis of the whole 22 chromosome 1 of a. thaliana (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.3934/mbe.2013.10.199 (literal)
- Alternative label
Properzi E., Giannerini S., Gonzalez, Diego L., Rosa R. (2013)
Genome characterization through dichotomic classes: an analysis of the whole 22 chromosome 1 of a. thaliana
in Mathematical biosciences and engineering
(literal)
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- Properzi E., Giannerini S., Gonzalez, Diego L., Rosa R. (literal)
- Pagina inizio
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- Rivista
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- Dipartimento di Statistica, UNIBO, CNR-IMM (literal)
- Titolo
- Genome characterization through dichotomic classes: an analysis of the whole 22 chromosome 1 of a. thaliana (literal)
- Abstract
- In this article we show how dichotomic classes, binary variables
naturally derived from a new mathematical model of the genetic code, can
be used in order to characterize different parts of the genome. In particular,
we analyze and compare different parts of whole chromosome 1 of Arabidopsis
thaliana: genes, exons, introns, coding sequences (CDS), intergenes, untrans-
lated regions (UTR) and regulatory sequences. In order to accomplish the
task we encode each sequence in the 3 possible reading frames according to
the denitions of the dichotomic classes (parity, Rumer and hidden). Then,
we perform a statistical analysis on the binary sequences. Interestingly, the
results show that coding and non-coding sequences have different patterns and
proportions of dichotomic classes. This suggests that the frame is important
only for coding sequences and that dichotomic classes can be useful to recog-
nize them. Moreover, such patterns seem to be more enhanced in CDS than in
exons. Also, we derive an independence test in order to assess whether the per-
centages observed could be considered as an expression of independent random
processes. The results conrm that only genes, exons and CDS seem to possess
a dependence structure that distinguishes them from i.i.d sequences. Such in-
formational content is independent from the global proportion of nucleotides of
a sequence. The present work conrms that the recent mathematical model of
the genetic code is a new paradigm for understanding the management and the
organization of genetic information and is an innovative tool for investigating
informational aspects of error detection/correction mechanisms acting at the
level of DNA replication. (literal)
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