Showing 1 - 7 of 7
Much of the on-going statistical analysis of DNA sequences is focused on the estimation of characteristics of coding and non-coding regions that would possibly allow discrimination of these regions. In the current approach, we concentrate specifically on genes and intergenic regions. To estimate...
Persistent link: https://www.econbiz.de/10010588714
The statistical properties of the size distribution of DNA segments separating identical oligonucleotides are studied. For representative eukaryotes (Homo sapiens, Mus musculus, Saccharomyces cereviciae, Oryza sativa, Arabidopsis thaliana) we have demonstrated the existence of long-range...
Persistent link: https://www.econbiz.de/10010589830
The cluster formation in the cyclic (4+1)-Lattice Lotka–Volterra Model is studied by Kinetic Monte Carlo simulations on a square lattice support. At the Mean Field level this model demonstrates conservative four-dimensional oscillations which, depending on the parameters, can be chaotic or...
Persistent link: https://www.econbiz.de/10010591558
A random aggregation model with influx is proposed for the formation of the non-coding DNA regions via random co-aggregation and influx of biological macromolecules such as viruses, parasite DNA, and replication segments. The constant mixing (transpositions) and influx drives the system in an...
Persistent link: https://www.econbiz.de/10011058787
We use q-exponential distributions, which maximize the nonextensive entropy Sq (defined as Sq≡(1−∑ipiq)/(q−1)), to study the size distributions of non-coding DNA (including introns and intergenic regions) in all human chromosomes. We show that the value of the exponent q describing the...
Persistent link: https://www.econbiz.de/10011060495
By using non-extensive block entropy statistics, we demonstrate analytically that the static structures of deterministic Cantor sets with fractal dimension df are characterised by a non-extensive q-exponent q=1/(df-d), for dfd (where d is the embedding dimensions of the fractal set). To...
Persistent link: https://www.econbiz.de/10011062340
We study the size distribution of purine and pyrimidine clusters in coding and non-coding DNA sequences. We observe that the cluster-size distribution P(s) follows an exponential decay in coding sequences whereas it follows a power-law decay in non-coding sequences: P(s) ∼ s−1−μ, with a...
Persistent link: https://www.econbiz.de/10011063594