Similarity and dissimilarity in correlations of genomic DNA

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

doi:10.1016/j.physa.2006.05.041

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 journal › Article

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 language	English (US)
Pages (from-to)	497-502
Number of pages	6
Journal	Physica A: Statistical Mechanics and its Applications
Volume	373
DOIs	https://doi.org/10.1016/j.physa.2006.05.041
State	Published - Jan 1 2007

All Science Journal Classification (ASJC) codes

Statistics and Probability
Condensed Matter Physics

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Podobnik, B., Shao, J., Dokholyan, N. V., Zlatic, V., Eugene Stanley, H., & Grosse, I. (2007). Similarity and dissimilarity in correlations of genomic DNA. Physica A: Statistical Mechanics and its Applications, 373, 497-502. https://doi.org/10.1016/j.physa.2006.05.041

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AU - Zlatic, Vinko

AU - Eugene Stanley, H.

AU - Grosse, Ivo

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