Motivation: Although one would normally expect a given regulatory elem
ent to perform best when it fully matches its consensus sequence, this
is generally far from being the case. Usually, almost none of the act
ual sites fits the consensus exactly, and some of those that do fit do
not perform well. The main reason for that is the very nature of the
sequences and the messages (codes) they contain. Normally, any given s
tretch of the sequence with one or another regulatory site not only ca
rries this regulatory message, but several more messages of various ty
pes as well. These messages overlap with the regulatory element in suc
h a way that the letter (base) which actually appears in any given seq
uence position simultaneously belongs to one or more additional codes.
Apart from numerous individual codes (sequence patterns) specific for
a given species or gene, there are many different general (universal)
sequence codes all interacting with one another. These are the classi
cal triplet code, DNA shape code, chromatin code, gene splicing code,
modulation code and many more, including those that have not yet been
discovered. Examples of overlapping of different codes and their inter
action are discussed, as well as the role of degeneracy of the codes a
nd the sequence complexity as a function of code density.