GENETIC ALGORITHMS, OPERATORS, AND DNA FRAGMENT ASSEMBLY

Citation
Rj. Parsons et al., GENETIC ALGORITHMS, OPERATORS, AND DNA FRAGMENT ASSEMBLY, Machine learning, 21(1-2), 1995, pp. 11-33
Citations number
32
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence",Neurosciences
Journal title
ISSN journal
08856125
Volume
21
Issue
1-2
Year of publication
1995
Pages
11 - 33
Database
ISI
SICI code
0885-6125(1995)21:1-2<11:GAOADF>2.0.ZU;2-3
Abstract
We study different genetic algorithm operators for one permutation pro blem associated with the Human Genome Project-the assembly of DNA sequ ence fragments from a parent clone whose sequence is unknown into a co nsensus sequence corresponding to the parent sequence. The sorted-orde r representation, which does not require specialized operators, is com pared with a more traditional permutation representation, which does r equire specialized operators. The two representations and their associ ated operators are compared on problems ranging from 2K to 34K base pa irs (KB). Edge-recombination crossover used in conjunction with severa l specialized operators is found to perform best in these experiments; these operators solved a 10KB sequence, consisting of 177 fragments, with no manual intervention. Natural building blocks in the problem ar e exploited at progressively higher levels through ''macro-operators.' ' This significantly improves performance.