Аннотация
Stochastic regular motifs are evolved for protein
sequences using genetic programming. The motif
language, SRE-DNA, is a stochastic regular expression
language suitable for denoting biosequences. Three
restricted versions of SRE-DNA are used as target
languages for evolved motifs. The genetic programming
experiments are implemented in DCTG-GP, which is a
genetic programming system that uses logic--based
attribute grammars to define the target language for
evolved programs. Earlier preliminary work tested
SRE-DNA's viability as a representation language for
aligned protein sequences. This work establishes that
SRE-DNA is also suitable for evolving motifs for
unaligned sets of sequences.
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