Statistical modelling of CG interdistance across multiple organisms.

ABSTRACT:

Background

Statistical approaches to genetic sequences have revealed helpful to gain deeper insight into biological and structural functionalities, using ideas coming from information theory and stochastic modelling of symbolic sequences. In particular, previous analyses on CG dinucleotide position along the genome allowed to highlight its epigenetic role in DNA methylation, showing a different distribution tail as compared to other dinucleotides. In this paper we extend the analysis to the whole CG distance distribution over a selected set of higher-order organisms. Then we apply the best fitting probability density function to a large range of organisms (>4400) of different complexity (from bacteria to mammals) and we characterize some emerging global features.

Results

We

SUBMITTER: A M 

PROVIDER: S-EPMC6191944 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature