On prokaryotes' clustering based on curvature distribution

L. Kozobay-Avraham, A. Bolshoy, Z. Volkovich

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Massive determination of complete genomes sequences has led to development of different tools for genome comparisons. Our approach is to compare genomes according to typical genomic distributions of a mathematical function that reflects a certain biological function. In this study we used comprehensive genome analysis of DNA curvature distributions before starts and after ends of prokaryotic genes to evaluate the assistance of mathematical and statistical procedures. Due to an extensive amount of data we were able to define the factors influencing the curvature distribution in promoter and terminator regions. Two clustering methods, K-means and PAM were applied and produced very similar clusterings that reflect genomic attributes and environmental conditions of species' habitat.

Original languageEnglish
Title of host publicationAdvances in Web Intelligence and Data Mining
EditorsMark Last, Piotr Szczepaniak, Piotr Szczepaniak, Zeev Vlvolkov, Abraham Kandel
Number of pages10
StatePublished - 2006

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence


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