Two Genetic Algorithms for Identification of Regulatory Signals

Abstract

There exist numerous algorithms for identification of regulatory signals in unaligned DNA fragments. Here we present two genetic algorithms for signal identification and describe their implementation and testing on simulated and real data. The first algorithm selects the start position of the signal in a given fragment. The second one builds a "universal" word that is recognized by the transcription factor. We compare these approaches and study the behavior of the genetic algorithm.