In search of an evolutionary coding style
Numerical Analysis
2007-07-13 v1 Information Theory
Dynamical Systems
math.IT
q-bio
Abstract
In the near future, all the human genes will be identified. But understanding the functions coded in the genes is a much harder problem. For example, by using block entropy, one has that the DNA code is closer to a random code then written text, which in turn is less ordered then an ordinary computer code; see \cite{schmitt}. Instead of saying that the DNA is badly written, using our programming standards, we might say that it is written in a different style -- an evolutionary style. We will suggest a way to search for such a style in a quantified manner by using an artificial life program, and by giving a definition of general codes and a definition of style for such codes.
Cite
@article{arxiv.math/0103109,
title = {In search of an evolutionary coding style},
author = {Torbjörn Lundh},
journal= {arXiv preprint arXiv:math/0103109},
year = {2007}
}
Comments
14 pages, 7 postscript figures