  The whole complex process to obtain a protein encoded by a gene is difficult
to include in a mathematical model. There are many models for describing
different aspects of a genetic network. Finding a better model is one of the
most important and interesting questions in computational biology. Sequential
dynamical systems have been developed for a theory of computer simulation, and
in this paper, a genetic sequential dynamical system is introduced. A gene is
considered to be a function which can take a finite number of values. We prove
that a genetic sequential dynamical system is a mathematical good description
for a finite state linear model introduced by Brazma in
www.ebi.ac.uk/microarray/biology-intro.html, EMBL-EBI, European Bioinformatics
Institute, (2000).
