Data compression and genomes: a two dimensional life domain map

Details Data compression and genomes: a two dimensional life domain map Data compression and genomes: a two dimensional life domain map

2008-03-04

arxiv.org/abs/0803.0465v1

Biology

Quantitative Biology

Quantitative Methods

Scientific paper

We define the complexity of DNA sequences as the information content per nucleotide, calculated by means of some Lempel-Ziv data compression algorithm. It is possible to use the statistics of the complexity values of the functional regions of different complete genomes to distinguish among genomes of different domains of life (Archaea, Bacteria and Eukarya). We shall focus on the distribution function of the complexity of noncoding regions. We show that the three domains may be plotted in separate regions within the two-dimensional space where the axes are the skewness coefficient and the curtosis coefficient of the aforementioned distribution. Preliminary results on 15 genomes are introduced.

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