A fuzzy guided genetic algorithm for operon prediction

@article{Jacob2005AFG,
  title={A fuzzy guided genetic algorithm for operon prediction},
  author={Elizabeth Jacob and Roschen Sasikumar and K. N. Ramachandran Nair},
  journal={Bioinformatics},
  year={2005},
  volume={21 8},
  pages={1403-7}
}
MOTIVATION The operon structure of the prokaryotic genome is a critical input for the reconstruction of regulatory networks at the whole genome level. As experimental methods for the detection of operons are difficult and time-consuming, efforts are being put into developing computational methods that can use available biological information to predict operons. METHOD A genetic algorithm is developed to evolve a starting population of putative operon maps of the genome into progressively… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 36 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 12 references

A Genetic Algorithm for Operon Prediction of View of Escherichia coli and Inference of Functional Interdependence of Gene Products from Genome Context

  • S. Okudo
  • 2004
1 Excerpt

Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach

  • Strong.M, P. Mallick, M. Pellegrini, M. J. Thompson, D. Eisenberg
  • Genome Biol.,
  • 2003

Similar Papers

Loading similar papers…