Sequences of nucleotides along DNA chains are known to present long ra
nge correlations. These correlations are small for simple species (alg
ae) and increase for more complex ones. Scanning DNA chains one finds
pieces called exons which are known to code some protein sequence, and
others called introns whose usefulness is debatable and do not code p
rotein sequences. By reading only exons (skipping introns), one always
gets no correlation at all, in spite of observing a large correlation
by reading the whole DNA sequence. The proposed explanation is that i
ntrons are fossil DNA parts no longer in use after evolutional replace
ment by new, better material (current exons). Sucessive editions of th
e files stored in a diskette follow the same dynamic mechanism propose
d for DNA evolution. Current versions of the files play the role of ex
ons, whereas introns correspond to old versions no longer in use (but
still partially stored on the disk). We find that correlations indeed
increase as more and more editions are performed. This artificial syst
em has the advantage, over real DNA data, of allowing experiments. (C)
1998 Elsevier Science B.V. All rights reserved.