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Multiple Sequence Alignment Averaging Improves Phylogeny Reconstruction. [PDF]
Syst Biol, 2019 &NA; The classic methodology of inferring a phylogenetic tree from sequence data is composed of two steps. First, a multiple sequence alignment (MSA) is computed. Then, a tree is reconstructed assuming the MSA is correct. Yet, inferred MSAs were shown to
Ashkenazy H +4 more
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Segment-based multiple sequence alignment [PDF]
Bioinformatics, 2008 Abstract Motivation: Many multiple sequence alignment tools have been developed in the past, progressing either in speed or alignment accuracy. Given the importance and wide-spread use of alignment tools, progress in both categories is a contribution to the community and has driven research in the field so far. Results: We
Tobias Rausch +5 more
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A layout framework for genome-wide multiple sequence alignment graphs [PDF]
Frontiers in BioinformaticsSequence alignments are often used to analyze genomic data. However, such alignments are often only calculated and compared on small sequence intervals for analysis purposes.
Jeremias Schebera +3 more
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Multiple sequence alignments [PDF]
Current 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 ...
Iain M, Wallace +2 more
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EMMA: a new method for computing multiple sequence alignments given a constraint subset alignment
Algorithms for Molecular Biology, 2023 Background Adding sequences into an existing (possibly user-provided) alignment has multiple applications, including updating a large alignment with new data, adding sequences into a constraint alignment constructed using biological knowledge, or ...
Chengze Shen +3 more
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Contextual Multiple Sequence Alignment [PDF]
BioMed Research International, 2005 In a recently proposed contextual alignment model, efficient algorithms exist for global and local pairwise alignment of protein sequences. Preliminary results obtained for biological data are very promising. Our main motivation was to adopt the idea of context dependency to the multiple‐alignment setting.
Gambin, Anna, Otto, Rafał
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Frontiers 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
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Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics, 2013 This paper introduces a simple and effective approach to improve the accuracy of multiple sequence alignment. We use a natural measure to estimate the similarity of the input sequences, and based on this measure, we align the input sequences differently.
Lam, TW +6 more
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, 2008 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.
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A benchmark study of sequence alignment methods for protein clustering
BMC Bioinformatics, 2018 Background Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment ...
Yingying Wang, Hongyan Wu, Yunpeng Cai
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