We present new improvements to the PHGA. Local alignment information is added to the weighted sum-of-pairs objective function to achieve better alignment from ...
In this paper, a novel approach has been developed, which uses genetic algorithm for performing multiple sequence alignment.
1 Introduction. Sequence alignment plays an important role in molecular sequence analysis. It can help to build a phylogenetic tree.
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RBT-GA [85] is one such approach, which is based on the combination of a novel Rubber Band Technique and a Genetic Algorithm for solving Multiple Sequence ...
Naznin et al. [26] used a GA-based approach to improve an MSA solution by vertically demarcating the sequences into several sub-sequences.
Nov 26, 2021 · We proposed guide tree optimization with genetic algorithm (GA) as a universal tool to improve the alignment quality of multiple protein 3D-structures ...
We describe a new approach to multiple sequence alignment using genetic algorithms and an associated software package called SAGA.
This paper presents a novel genetic algorithm (GA) for multiple sequence alignment in protein analysis. The most significant improvement afforded by this ...
... multiple sequence alignment is intractable. Therefore, a genetic algorithm based approach has been designed to solve the multiple DNA sequence alignment ...
GASP is based on a genetic algorithm, but differs from existing GA-based multiple sequence alignment methods in that it builds up the initial population by SPs.