A standard deviation based quantification differentiates coding from non-coding DNA sequences and gives insight to their evolutionary history

Authors
Citation
Y. Almirantis, A standard deviation based quantification differentiates coding from non-coding DNA sequences and gives insight to their evolutionary history, J THEOR BIO, 196(3), 1999, pp. 297-308
Citations number
27
Categorie Soggetti
Multidisciplinary
Journal title
JOURNAL OF THEORETICAL BIOLOGY
ISSN journal
00225193 → ACNP
Volume
196
Issue
3
Year of publication
1999
Pages
297 - 308
Database
ISI
SICI code
0022-5193(19990207)196:3<297:ASDBQD>2.0.ZU;2-V
Abstract
A method quantifying the randomness of nucleotide sequences is developed, b ased on the introduction of a standard deviation type of quantity involving locally computed means and a length scale around which is assessed the clu stering of nucleotides. It is pointed out that the value taken by this modi fied standard deviation may distinguish between coding rich and non-coding rich sequences. Moreover, the approach described herein allows the determin ation of some minimal characteristics of an evolutionary scenario which can account for the origin of the clustering in the nucleotide distribution of the different parts of the genome. (C) 1999 Academic Press.