Similarity and dissimilarity in correlations of genomic DNA

Boris Podobnik, Jia Shao, Nikolay V. Dokholyan, Vinko Zlatic, H. Eugene Stanley, Ivo Grosse

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

We analyze auto-correlations of human chromosomes 1-22 and rice chromosomes 1-12 for seven binary mapping rules and find that the correlation patterns are different for different rules but almost identical for all of the chromosomes, despite their varying lengths and g c contents. We propose a simple stochastic process for modeling these correlations, and we find that the proposed process can reproduce, quantitatively and qualitatively, the correlation patterns found in the genomes of human and rice.

Original languageEnglish (US)
Pages (from-to)497-502
Number of pages6
JournalPhysica A: Statistical Mechanics and its Applications
Volume373
DOIs
StatePublished - Jan 1 2007

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

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