DNA sequence compression - Based on the normalized maximum likelihood model

Genomic data provide challenging problems that have been studied in a number of fields such as statistics, signal processing, information theory, and computer science. This article shows that the methodologies and tools that have been recently developed in these fields for modeling signals and processes appear to be most promising for genomic research

DNA compression DNA Sequences: Random, Independent, OR Dependent?

Genetic data represent the most important source of information about life, where, in an exquisite way, nature encodes information about the proteins forming an organism, about controlling biological pathways, about the variations rendering any two individuals different, and probably about many other things unknown yet. Deoxyribonucleic acid (DNA) is a polymer, formed of two entwined helicoidal chains, also called strands. Each strand is a linked chain of nucleotides adenine (A), cytosine (C), guanine (G), and thymine (T). Ignoring its inherent nontrivial three-dimensional structure, DNA can be represented as a one-dimensional chain of the four nucleotides, which can be written either in terms of the four symbols , or in terms of the numbers , describing the bases.