A theory of systems with long-range correlations based on the consideration of binary N-step
Markov chains is developed. In our model, the conditional probability that the i th symbol in …

Among ecologists, it is often believed that population abundance is lognormally distributed.
To test this hypothesis, we analysed and compared 544 annual time‐series of population …

Motivated by recent results in the theory of correlated sequences, we analyze the dynamics
of random walks with long-term memory (binary chains with long-range correlations). In our …

The coding parts of DNA sequences are regarded as clusters of connected sites of a random
Cantor-like set, while the non-coding parts are regarded as the empty regions of the same …

A theory of systems with long-range correlations based on the consideration of binary N-step
Markov chains is developed. In the model, the conditional probability that the i th symbol in …

We study the size distribution of coding and non-coding regions in DNA sequences. For
most organisms we observe that the size distribution P c (S) of the coding regions of size S …

A theory of additive Markov chains with long-range memory is used to describe the
correlation properties of coarse-grained literary texts. The complex structure of the …

Spatial distribution and clustering of repetitive elements are extensively studied during the
last years, as well as their colocalization with other genomic components. Here we …

Genomic sequences exhibit self-organization properties at various hierarchical levels. One
such is the gene structure of higher eukaryotes with its complex exon/intron arrangement …

Abstract The Local Shannon Entropy (LSE) in blocks is used as a complexity measure to
study the information fluctuations along DNA sequences. The LSE of a DNA block maps the …