Abstract
This paper develops an evolutionary method that learns inductively to recognize the makeup and the position of very short consensus sequences, which are a typical feature of promoters in eukaryotic genomes. This class of method can be used to discover candidate promoter sequences in primary sequence data. If further developed, it has the potential to discover genes which are regulated together. © Springer-Verlag Berlin Heidelberg 2003.
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CITATION STYLE
Howard, D., & Benson, K. (2003). Evolutionary computation method for promoter site prediction in DNA. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 1690–1701. https://doi.org/10.1007/3-540-45110-2_62
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