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- W2116758840 abstract "Numerous sequencing projects have unveiled partial and full microbial genomes. The data produced far exceeds one person’s analytical capabilities and thus requires the power of computing. A significant amount of work has focused on the diversity of statistical characteristics along microbial genomic sequences, e.g. codon bias, G+C content, the frequencies of short subsequences (n‐mers), etc. Based upon the results of these studies, two observations were made: (1) there exists a correlation between regions of unusual statistical properties, e.g. difference in codon bias, etc., from the rest of the genomic sequence, and evolutionary significant regions, e.g. regions of horizontal gene transfer; and (2) because no two microbial genomes look statistically identical, statistical properties can be used to distinguish between genomic sequences. Recently, we conducted extensive analysis on the presence/absence of n‐mers for many microbial genomes as well as several viral and eukaryotic genomes. This analysis reve..." @default.
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- W2116758840 date "2006-01-01" @default.
- W2116758840 modified "2023-10-16" @default.
- W2116758840 title "Statistical Properties of Short Subsequences in Microbial Genomes and Their Link to Pathogen Identification and Evolution" @default.
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- W2116758840 doi "https://doi.org/10.1063/1.2356390" @default.
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