1 Histogram-Based DNA Analysis for the Visualization of

Motivation: We describe a novel approach to explore DNA nucleo-tide sequence data, aiming to produce high-level categorical and structural information about the underlying chromosomes, genomes and species. Results: The paper starts by analyzing chromosomal data through histograms using fixed length DNA sequences. After creating the DNA related histograms, a correlation between pairs of histograms is computed, producing a global correlation matrix. This data is then used as input to several data processing methods for information extraction and tabular/graphical output generation. A set of eighteen species is processed and the extensive results reveal that the pro-posed method is able to generate significant and diversified outputs, in good accordance with current scientific knowledge in domains like genomics and phylogenetics. Availability and Implementation: Source code freely available for download a