International audienceDespite the importance of the guide structure calculation in progressive multiple sequence alignment algorithms, its influence on alignments accuracy was under studied. In this article, we test selected clustering and phylogenetic reconstruction methods, implemented in ClustalW, to compare their efficiency with the benchmark database Balibase. The evaluation of their performance gives statistically significant results. Three methods outperform the Neighbor-Joining, which is the algorithm implemented in ClustalW. Moreover, the best method appears to depend on tested reference set. These results provide guidelines for the improvement of progressive algorithms
A Progressive multiple sequence alignment ClustalW is a widely used heuristic method for computing m...
Motivation: The quality of progressive sequence alignments strongly depends on the accuracy of the i...
Abstract. Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylog...
International audienceDespite the importance of the guide structure calculation in progressive multi...
Multiple sequence alignment is increasingly important to bioinformatics, with several applications r...
Since finding an optimal multiple sequences alignment is a NP-hard problem, various heuristic approa...
The focus of this thesis is on large-scale progressive protein multiple sequence alignment algorithm...
Abstract Background We propose a multiple sequence alignment (MSA) algorithm and compare the alignme...
A central focus of computational biology is to organize and make use of vast stores of molecular seq...
With the rapid development of genome sequencing, an ever-increasing number of molecular biology anal...
A central focus of computational biology is to organize and make use of vast stores of molecular seq...
BACKGROUND: In this paper, we introduce a progressive corner cutting method called Reticular Alignme...
Background: Guide-trees are used as part of an essential heuristic to enable the calculation of mult...
Multiple sequence alignment (MSA) is the basis for a wide range of comparative sequence analyses fro...
Progressive methods for multiple sequence alignment are popular for their simplicity and cost effect...
A Progressive multiple sequence alignment ClustalW is a widely used heuristic method for computing m...
Motivation: The quality of progressive sequence alignments strongly depends on the accuracy of the i...
Abstract. Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylog...
International audienceDespite the importance of the guide structure calculation in progressive multi...
Multiple sequence alignment is increasingly important to bioinformatics, with several applications r...
Since finding an optimal multiple sequences alignment is a NP-hard problem, various heuristic approa...
The focus of this thesis is on large-scale progressive protein multiple sequence alignment algorithm...
Abstract Background We propose a multiple sequence alignment (MSA) algorithm and compare the alignme...
A central focus of computational biology is to organize and make use of vast stores of molecular seq...
With the rapid development of genome sequencing, an ever-increasing number of molecular biology anal...
A central focus of computational biology is to organize and make use of vast stores of molecular seq...
BACKGROUND: In this paper, we introduce a progressive corner cutting method called Reticular Alignme...
Background: Guide-trees are used as part of an essential heuristic to enable the calculation of mult...
Multiple sequence alignment (MSA) is the basis for a wide range of comparative sequence analyses fro...
Progressive methods for multiple sequence alignment are popular for their simplicity and cost effect...
A Progressive multiple sequence alignment ClustalW is a widely used heuristic method for computing m...
Motivation: The quality of progressive sequence alignments strongly depends on the accuracy of the i...
Abstract. Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylog...