In search of an evolutionary coding style
<|reference_start|>In search of an evolutionary coding style: 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.<|reference_end|>
@article{lundh2001in,
    title={In search of an evolutionary coding style},
    author={Torbj"orn Lundh},
    journal={arXiv preprint arXiv:math/0103109},
    year={2001},
    number={Stony Brook IMS 2000/3, formerly math.SC/0103109},
    archivePrefix={arXiv},
    eprint={math/0103109},
    primaryClass={math.NA cs.IT math.DS math.IT q-bio}
}