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Strategies for Multiple Sequence Alignment [PDF]

open access: goldBioTechniques, 2002
We present an overview of multiple sequence alignments to outline the practical consequences for the choices among different techniques and parameters. We begin with a discussion of the scoring methods for quantifying the quality of a multiple sequence ...
Hugh B. Nicholas   +2 more
doaj   +5 more sources

Optimal sequence alignments [PDF]

open access: greenProceedings of the National Academy of Sciences, 1983
Current theory is adequate to the task of finding an optimal alignment between two character strings such as nucleic acids. Most algorithms currently in use must fail to find the homologous alignment between a set of codons for the chicken α- and β-hemoglobin sequence when it is in fact discoverable by a more general treatment of gaps.
Walter M. Fitch, Temple F. Smith
openalex   +5 more sources

Developments in Algorithms for Sequence Alignment: A Review [PDF]

open access: yesBiomolecules, 2022
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
doaj   +2 more sources

Sequence‐to‐sequence alignment using a pendulum [PDF]

open access: yesIET Computer Vision, 2015
Analysing two or more video sequences of dynamic scenes typically requires time synchronisation between sequences, where this alignment is not always possible using hardware.
Tomislav Pribanic   +2 more
doaj   +3 more sources

HELIOS: High-speed sequence alignment in optics. [PDF]

open access: yesPLoS Computational Biology, 2022
In response to the imperfections of current sequence alignment methods, originated from the inherent serialism within their corresponding electrical systems, a few optical approaches for biological data comparison have been proposed recently.
Ehsan Maleki   +2 more
doaj   +3 more sources

Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning

open access: yesIEEE Open Journal of Engineering in Medicine and Biology, 2021
Goal: Various methods have been developed to analyze the association between organisms and their genomic sequences. Among them, sequence alignment is the most frequently used method for comparative analysis of biological genomes.
Yong-Joon Song   +4 more
doaj   +1 more source

Efficient Multiple Sequences Alignment Algorithm Generation via Components Assembly Under PAR Framework

open access: yesFrontiers in Genetics, 2021
As a key algorithm in bioinformatics, sequence alignment algorithm is widely used in sequence similarity analysis and genome sequence database search.
Haipeng Shi   +3 more
doaj   +1 more source

Constrained sequence alignment [PDF]

open access: yesBulletin of Mathematical Biology, 1993
This paper presents a dynamic programming algorithm for aligning two sequences when the alignment is constrained to lie between two arbitrary boundary lines in the dynamic programming matrix. For affine gap penalties, the algorithm requires only O(F) computations time and O(M+N) space, when F is the area of the feasible region and M and N are the ...
Kun-Mao Chao   +2 more
openaire   +3 more sources

Petabase-scale sequence alignment catalyses viral discovery

open access: yesNature, 2020
Edgar RC   +15 more
europepmc   +2 more sources

Multiple sequence alignments [PDF]

open access: yesCurrent Opinion in Structural Biology, 2005
Multiple sequence alignments are very widely used in all areas of DNA and protein sequence analysis. The main methods that are still in use are based on 'progressive alignment' and date from the mid to late 1980s. Recently, some dramatic improvements have been made to the methodology with respect either to speed and capacity to deal with large numbers ...
Desmond G. Higgins   +2 more
openaire   +3 more sources

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