Monte Carlo simulation and statistical analysis of genetic information coding
E. Gultepe and
M.L. Kurnaz
Physica A: Statistical Mechanics and its Applications, 2005, vol. 357, issue 3, 525-533
Abstract:
The rules that specify how the information contained in DNA codes amino acids, are called “the genetic code”. Using a simplified version of the Penna model, we are utilizing computer simulations to investigate the importance of the genetic code and the number of amino acids in Nature on population dynamics. We find that the genetic code is not a random pairing of codons to amino acids and the number of amino acids in Nature is an optimum under mutations.
Date: 2005
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105003493
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:357:y:2005:i:3:p:525-533
DOI: 10.1016/j.physa.2005.03.037
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().