Results 11 to 20 of about 1,008,958 (324)
Multiple sequence alignments [PDF]
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
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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On the Complexity of Multiple Sequence Alignment [PDF]
We study the computational complexity of two popular problems in multiple sequence alignment: multiple alignment with SP-score and multiple tree alignment. It is shown that the first problem is NP-complete and the second is MAX SNP-hard. The complexity of tree alignment with a given phylogeny is also considered.
L, Wang, T, Jiang
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Multiple alignment by sequence annealing [PDF]
AbstractMotivation: We introduce a novel approach to multiple alignment that is based on an algorithm for rapidly checking whether single matches are consistent with a partial multiple alignment. This leads to a sequence annealing algorithm, which is an incremental method for building multiple sequence alignments one match at a time.
Schwartz, Ariel S., Pachter, Lior
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Multiple sequence alignments in linguistics [PDF]
In this study we apply and evaluate an iterative pairwise alignment program for producing multiple sequence alignments, ALPHAMALIG (Alonso et al., 2004), using as material the phonetic transcriptions of words used in Bulgarian dialectological research. To evaluate the quality of the multiple alignment, we propose two new methods based on comparing each
Prokić, J., Wieling, M., Nerbonne, J.
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Contextual Multiple Sequence Alignment [PDF]
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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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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Accelerated large-scale multiple sequence alignment
Background Multiple sequence alignment (MSA) is a fundamental analysis method used in bioinformatics and many comparative genomic applications. Prior MSA acceleration attempts with reconfigurable computing have only addressed the first stage of ...
Lloyd Scott, Snell Quinn O
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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.
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A benchmark study of sequence alignment methods for protein clustering
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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