Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/44152
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dc.contributor.authorPutonti, C.
dc.contributor.authorChumakov, S.
dc.contributor.authorChavez, A.
dc.contributor.authorLuo, Y.
dc.contributor.authorGraur, D.
dc.contributor.authorFox, G.E.
dc.contributor.authorFofanov, Y.
dc.date.accessioned2015-09-15T18:49:09Z-
dc.date.available2015-09-15T18:49:09Z-
dc.date.issued2006
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-33846505986&partnerID=40&md5=b632e365dd2bfd307e05cd70b8f59da9
dc.identifier.urihttp://hdl.handle.net/20.500.12104/44152-
dc.description.abstractThe 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. � 2006 American Institute of Physics.
dc.relation.isreferencedbyScopus
dc.titleRegions of unusual statistical properties as tools in the search for horizontally transferred genes in Escherichia coli
dc.typeConference Paper
dc.identifier.doi10.1063/1.2356423
dc.relation.ispartofjournalAIP Conference Proceedings
dc.relation.ispartofvolume854
dc.relation.ispartofpage126
dc.relation.ispartofpage128
dc.subject.keywordEscherichia coli K12; Escherichia coli O157:H7; Horizontal gene transfer; Sequence composition
dc.contributor.affiliationPutonti, C., Department of Computer Science, University of Houston, Houston, TX 77204-3058, United States, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, United States; Chumakov, S., Department of Physics, University of Guadalajara, Guadalajara, Jalisco 44420, Mexico; Chavez, A., Department of Physics, University of Guadalajara, Guadalajara, Jalisco 44420, Mexico; Luo, Y., Department of Computer Science, University of Houston, Houston, TX 77204-3058, United States; Graur, D., Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, United States; Fox, G.E., Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, United States; Fofanov, Y., Department of Computer Science, University of Houston, Houston, TX 77204-3058, United States, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, United States
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