Abstract: This paper presents a parallel hybrid genetic algorithm (GA) for solving sum-of-pairs multiple protein sequence alignment.
This paper presents a parallel hybrid genetic algorithm (GA) for solving the sum-of-pairs multiple protein sequence alignment.
Abstract - This paper presents a parallel hybrid genetic algorithm (GA) for solving the sum-of-pairs multiple protein sequence alignment.
A Parallel Hybrid Genetic Algorithm for Multiple Protein Sequence Alignment ... GA-based method for more efficient multiple protein sequence alignment.
a new GA-based method for more efficient multiple protein sequence alignment. ... Aligning Multiple Protein Sequences by Parallel Hybrid Genetic Algorithm. 125.
This paper presents a parallel hybrid genetic algorithm (GA) for solving sum-of-pairs multiple protein sequence alignment. The method is based on a multiple ...
This paper presents a parallel hybrid genetic algorithm (GA) for solving the sum-of-pairs multiple protein sequence alignment.
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The problem consists in determining the ground-state conformation of a specified protein, given its amino acid sequence—the primary structure. In this context, ...
The COFFEE function is used to measure individual fitness, and five novel genetic operators are designed, a selection operator, two crossover operators and two ...
Abstract. Motivation: Multiple molecular sequence alignment is among the most important and most challenging tasks in computational biology.