Results 21 to 30 of about 470,954 (252)
Brain Storm Optimization for Multiple Sequence Alignment problem [PDF]
Brain Storm Optimization (BSO) is one of the most effective swarm intelligence methods for finding optimality in optimization problems by simulating the human brainstorming process.
doaj +1 more source
Lower bounds on multiple sequence alignment using exact 3-way alignment
Background Multiple sequence alignment is fundamental. Exponential growth in computation time appears to be inevitable when an optimal alignment is required for many sequences. Exact costs of optimum alignments are therefore rarely computed. Consequently
Colbourn Charles J, Kumar Sudhir
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Reticular alignment: A progressive corner-cutting method for multiple sequence alignment
Background In this paper, we introduce a progressive corner cutting method called Reticular Alignment for multiple sequence alignment. Unlike previous corner-cutting methods, our approach does not define a compact part of the dynamic programming table ...
Novák Ádám +3 more
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Enhanced Genetic Method for Optimizing Multiple Sequence Alignment
In the realm of bioinformatics, Multiple Sequence Alignment (MSA) is a pivotal technique used to optimize the alignment of multiple biological sequences, guided by specific scoring criteria.
Mohammed K. Ibrahim +3 more
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Multiple sequence alignment (MSA) has assumed a key role in comparative structure and function analysis of biological sequences. It often leads to fundamental biological insight into sequence-structure-function relationships of nucleotide or protein sequence families.
Pirovano, W., Heringa, J.
+7 more sources
OXBench: A benchmark for evaluation of protein multiple sequence alignment accuracy
Background The alignment of two or more protein sequences provides a powerful guide in the prediction of the protein structure and in identifying key functional residues, however, the utility of any prediction is completely dependent on the accuracy of ...
Searle Stephen MJ +4 more
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Algorithms for normalized multiple sequence alignments
24 pages, 2 figures, 5 ...
Eloi Araujo +3 more
openaire +4 more sources
Developments in Algorithms for Sequence Alignment: A Review
The continuous development of sequencing technologies has enabled researchers to obtain large amounts of biological sequence data, and this has resulted in increasing demands for software that can perform sequence alignment fast and accurately.
Jiannan Chao, Furong Tang, Lei Xu
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Grammar-based distance in progressive multiple sequence alignment
Background We propose a multiple sequence alignment (MSA) algorithm and compare the alignment-quality and execution-time of the proposed algorithm with that of existing algorithms.
Sayood Khalid +2 more
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Incremental Multiple Sequence Alignment [PDF]
This work proposes a new approach to the alignment of multiple sequences. We take profit from some results on Grammatical Inference that allow us to build iteratively an abstract machine that considers in each inference step an increasing amount of sequences.
Marcelino Campos +2 more
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