Regions of unusual statistical properties as tools in the search for horizontally transferred genes in Escherichia coli

Catherine Putonti, Sergei Chumakov, Arturo Chavez, Yi Luo, Dan Graur, George E. Fox, Yuriy Fofanov

Research output: Contribution to journalConference articlepeer-review


The observed diversity of statistical characteristics along genomic sequences is the result of the influences of a variety of ongoing processes including horizontal gene transfer, gene loss, genome rearrangements, and evolution. The rate at which various processes affect the genome typically varies between different genomic regions. Thus, variations in statistical properties seen in different regions of a genome are often associated with its evolution and functional organization. Analysis of such properties is therefore relevant to many ongoing biomedical research efforts. Similarity Plot or S-plot is a Windows-based application for large-scale comparisons and 2D visualization of similarities between genomic sequences. This application combines two approaches wildly used in genomics: window analysis of statistical characteristics along genomes and dot-plot visual representation. S-plot is effective in detecting highly similar regions between two genomes. Within a single genome, S-plot has the ability to identify highly dissimilar regions displaying unusual compositional properties. The application was used to perform a comparative analysis of 50+ microbial genomes as well as many eukaryote genomes including human, rat, mouse, and drosophila. We illustrate the uses of S-Plot in a comparison involving Escherichia coli K12 and E. coli O157:H7.

Original languageEnglish (US)
Pages (from-to)126-128
Number of pages3
JournalAIP Conference Proceedings
StatePublished - 2006
Externally publishedYes
Event9h Mexican Symposium on Medical Physics - Guadalajara, Jalisco, Mexico
Duration: Mar 18 2006Mar 23 2006


  • Escherichia coli K12
  • Escherichia coli O157:H7
  • Horizontal gene transfer
  • Sequence composition

ASJC Scopus subject areas

  • General Physics and Astronomy


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