Results 41 to 50 of about 6,883,088 (299)
An Evaluation of Phylogenetic Workflows in Viral Molecular Epidemiology
The use of viral sequence data to inform public health intervention has become increasingly common in the realm of epidemiology. Such methods typically utilize multiple sequence alignments and phylogenies estimated from the sequence data.
Colin Young, Sarah Meng, Niema Moshiri
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Improving phonetic alignment by handling secondary sequence structures [PDF]
In traditional alignment analyses, sequences are only compared with regard to their primary structure. Here, the term primary structure refers to the order order of segments, whereby segments are understood as the smallest units of a sequence which ...
List, Johann-Mattis
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Multiple sequence alignment by consensus [PDF]
An algorithm for multiple sequence alignment is given that matches words of length and degree of mismatch chosen by the user. The alignment maximizes an alignment scoring function. The method is based on a novel extension of our consensus sequence methods.
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Testing robustness of relative complexity measure method constructing robust phylogenetic trees for Galanthus L. Using the relative complexity measure [PDF]
Background: Most phylogeny analysis methods based on molecular sequences use multiple alignment where the quality of the alignment, which is dependent on the alignment parameters, determines the accuracy of the resulting trees.
Sırrı Yüzbaşıoğlu +25 more
core +1 more source
Simple sequence alignment in VB6
Simple sequence alignment in ...
Paul A. Gagniuc (1818325)
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Scaling statistical multiple sequence alignment to large datasets
Background Multiple sequence alignment is an important task in bioinformatics, and alignments of large datasets containing hundreds or thousands of sequences are increasingly of interest.
Michael Nute, Tandy Warnow
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Alignment of helical membrane protein sequences using AlignMe [PDF]
Few sequence alignment methods have been designed specifically for integral membrane proteins, even though these important proteins have distinct evolutionary and structural properties that might affect their alignments.
René Staritzbichler +15 more
core +2 more sources
Background Multiple Sequence Alignment (MSA) is a basic tool for bioinformatics research and analysis. It has been used essentially in almost all bioinformatics tasks such as protein structure modeling, gene and protein function prediction, DNA motif ...
Deng Xin, Cheng Jianlin
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Incremental Multiple Sequence Alignment [PDF]
This work proposes a new approach to the alignment of multiple sequences. We take profit from some results on Grammatical Inference that allow us to build iteratively an abstract machine that considers in each inference step an increasing amount of sequences.
Marcelino Campos +2 more
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Background The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research.
Collingridge Peter W, Kelly Steven
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