Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment
Top Cited Papers
- 31 January 2008
- journal article
- Published by Elsevier BV in Applied Soft Computing
- Vol. 8 (1), 55-78
- https://doi.org/10.1016/j.asoc.2006.10.012
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- An adaptive and iterative algorithm for refining multiple sequence alignmentComputational Biology and Chemistry, 2004
- Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenicsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2003
- Fitness landscape analysis and memetic algorithms for the quadratic assignment problemIEEE Transactions on Evolutionary Computation, 2000
- A novel genetic algorithm based on immunityIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2000
- Hybrid evolutionary techniques for the maintenance scheduling problemIEEE Transactions on Power Systems, 2000
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceNucleic Acids Research, 1994
- On the Complexity of Multiple Sequence AlignmentJournal of Computational Biology, 1994
- Detecting Subtle Sequence Signals: a Gibbs Sampling Strategy for Multiple AlignmentScience, 1993
- Weights for data related by a treeJournal of Molecular Biology, 1989
- Gap costs for multiple sequence alignmentJournal of Theoretical Biology, 1989