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)|
|Number of pages||6|
|Journal||Physica A: Statistical Mechanics and its Applications|
|State||Published - Jan 1 2007|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Condensed Matter Physics