We studied the distribution of 1–7 bp words in a dataset that includes 139 complete eukaryotic genomes, 33 masked eukaryotic genomes and coding regions from 35 genomes. We tested different statistical models to determine over- and under-represented words. The method described by Karlin et al. has the strongest predictive power compared to other methods. Using this method we identified over- and under-represented words consistent within a large array of taxonomic groups. Some of those words have not yet been described as exclusive. For example, CGCG is over-represented in CG-deficient organisms. We also describe exceptions for widely known exclusive words, such as CG and TA.
['Sergey I. Mitrofanov', 'Alexander Y. Panchin', 'S. A. Spirin', 'Andrei V. Alexeevski', 'Yuri V. Panchin']
EXCLUSIVE SEQUENCES OF DIFFERENT GENOMES