title: Exclusive sequences of different genomes.
abstract: 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.
authors.affiliation: Faculty of Bioengineering and Bioinformatics, Moscow State University, Moscow, Russia. mitroser04@mail.ru
authors.forename: Sergey I
authors.initials: SI
authors.lastname: Mitrofanov
authors.forename: Alexander Y
authors.initials: AY
authors.lastname: Panchin
authors.forename: Sergei A
authors.initials: SA
authors.lastname: Spirin
authors.forename: Andrei V
authors.initials: AV
authors.lastname: Alexeevski
authors.forename: Yuri V
authors.initials: YV
authors.lastname: Panchin
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D002874:Chromosome Mapping / Q000379:methods*; D016678:Genome / Q000235:genetics*; D006801:Humans; D008969:Molecular Sequence Data; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*