Performance Improvement of Genetic Algorithm for Multiple Sequence Alignment.
Anderson Rici AmorimJoao Matheus Verdadeiro VisotakyAllan De Godoi ContessotoLeandro Alves NevesRogéria Cristiane Gratão de SouzaCarlos Roberto ValêncioGeraldo Francisco Donegá ZafalonPublished in: PDCAT (2016)
Keyphrases
- multiple sequence alignment
- genetic algorithm
- protein sequences
- multiple alignment
- secondary structure
- computational biology
- biological sequences
- memory efficient
- simulated annealing
- statistically significant
- search heuristics
- evolutionary algorithm
- machine learning
- data mining
- neural network
- metaheuristic
- dynamic programming
- artificial intelligence