Multiple sequence alignment (MSA) is an essential cornerstone in bioinformatics, which can
reveal the potential information in biological sequences, such as function, evolution and …

Applications of genomic and proteomic, epigenetic, pharmacogenomics, and systems
biology have shown increased a lot, resulting in an explosion in the amount of highly …

In this paper, an artificial bee colony (ABC) algorithm for the multiple sequence alignment
(MSA) problem has been proposed. The ABC algorithm is a novel optimization approach …

We present a new method for multiple sequence alignment (MSA), which we call MSACSA.
The method is based on the direct application of a global optimization method called the …

Transparent models search for a balance between interpretability and accuracy. This paper
is about the estimation of transparent models of chaotic systems from data, which are …

This paper introduces a new improved algorithm called chaotic PSO (CPSO) based on the
thought of chaos optimization to solve multiple sequence alignment. For one thing, the …

In the bioinformatics realm, multiple sequence alignment (MSA) is an NP-hard problem.
Nature-inspired methodologies configure potent tools to outsmart conventional optimization …

In this work, a novel hybrid model called PSOSA for solving multiple sequence alignment
(MSA) problem is proposed. The developed approach is a combination between particle …

DNA and protein are the fundamental biological sequences. DNA is a fundamental molecule
that plays a vital role in the processes of life. Proteins synthesized by DNA in a cell are the …

We apply simulated annealing to amino acid sequence alignment, a fundamental problem in
bioinformatics, particularly relevant to evolution. Our goal was obtaining results comparable …