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Multiple sequence alignment

Journal of Molecular Biology, 1986
A method has been developed for aligning segments of several sequences at once. The number of search steps depends only polynomially on the number of sequences, instead of exponentially, because most alignments are rejected without being evaluated explicitly. A data structure herein called the "heap" facilitates this process.
D J, Bacon, W F, Anderson
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Multiple Sequence Alignment

2003
Publisher Summary This chapter discusses various aspects of multiple sequence alignment. Dynamic programming can be generalized to more than two sequences where one finds the multiple alignments with the best score according to the scoring scheme. Gaps are scored according to their length and the number of sequences that they occur in and the method ...
D G, Higgins, W R, Taylor
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Multiple Sequence Alignment

2016
The increasing importance of Next Generation Sequencing (NGS) techniques has highlighted the key role of multiple sequence alignment (MSA) in comparative structure and function analysis of biological sequences. MSA often leads to fundamental biological insight into sequence-structure-function relationships of nucleotide or protein sequence families ...
Bawono, Punto   +5 more
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An Overview of Multiple Sequence Alignment

Current Protocols in Bioinformatics, 2003
AbstractMultiple sequence alignment is perhaps the most commonly applied bioinformatics technique. It often leads to fundamental biological insight into sequence‐structure‐function relationships of nucleotide or protein sequence families. In this unit, an overview of multiple sequence alignment techniques is presented, covering a history of nearly 30 ...
Victor, Simossis   +2 more
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Multithreaded Multiple Sequence Alignments

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Based on the mixed idea of Progressive alignment and Divide-and-conquer alignment, two different multithreaded multiple sequence alignment programs, depending on how the guide tree(s) would be applied, are implemented for checking the improvements of alignment speed and sensitivity.
Joanne, Bai, Siamak, Rezaei
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Optimization of multiple‐sequence alignment based on multiple‐structure alignment

Proteins: Structure, Function, and Bioinformatics, 2005
AbstractRoutinely used multiple‐sequence alignment methods use only sequence information. Consequently, they may produce inaccurate alignments. Multiple‐structure alignment methods, on the other hand, optimize structural alignment by ignoring sequence information.
Maxim, Shatsky   +2 more
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Multiple protein sequence alignment

Current Opinion in Structural Biology, 2008
Multiple sequence alignments are essential in computational analysis of protein sequences and structures, with applications in structure modeling, functional site prediction, phylogenetic analysis and sequence database searching. Constructing accurate multiple alignments for divergent protein sequences remains a difficult computational task, and ...
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DNA multiple sequence alignments

2002
In this chapter we examine the procedure of multiple sequence alignment. We first examine the heuristic procedures commonly used in multiple sequence alignment. Next we examine sources of ambiguity involved in the alignment procedure. We suggest that several alignment parameters be employed to examine alignment sensitivity.
Gonzalo, Giribet   +2 more
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Multiple Sequence Alignment with DIALIGN

2013
DIALIGN is a software tool for multiple sequence alignment by combining global and local alignment features. It composes multiple alignments from local pairwise sequence similarities. This approach is particularly useful to discover conserved functional regions in sequences that share only local homologies but are otherwise unrelated.
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Global multiple‐sequence alignment with repeats

Proteins: Structure, Function, and Bioinformatics, 2006
AbstractRepeating fragments in biological sequences are often essential for structure and function. Over the years, many methods have been developed to recognize repeats or to multiply align protein sequences. However, the integration of these two methodologies has been largely unexplored to date.
Sammeth, M., Heringa, J.
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