Results 41 to 50 of about 1,261,273 (206)

Multiple sequence alignment with user-defined anchor points

open access: yesAlgorithms for Molecular Biology, 2006
Background Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the quality of alignments.
Pöhler Dirk   +3 more
doaj   +1 more source

Alignment of asymmetric-top molecules using multiple-pulse trains [PDF]

open access: yesPhys. Rev. A 81, 065401 (2010), 2010
We theoretically analyze the effectiveness of multiple-pulse laser alignment methods for asymmetric-top molecules. As an example, we choose SO_2 and investigate the alignment dynamics induced by two different sequences, each consisting of four identical laser pulses. Each sequence differs only in the time delay between the pulses. Equally spaced pulses
arxiv   +1 more source

Multiple Sequence Alignment

open access: yes, 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.
openaire   +4 more sources

MISHIMA - a new method for high speed multiple alignment of nucleotide sequences of bacterial genome scale data

open access: yesBMC Bioinformatics, 2010
Background Large nucleotide sequence datasets are becoming increasingly common objects of comparison. Complete bacterial genomes are reported almost everyday. This creates challenges for developing new multiple sequence alignment methods.
Kryukov Kirill, Saitou Naruya
doaj   +1 more source

Score distributions of gapped multiple sequence alignments down to the low-probability tail [PDF]

open access: yesPhys. Rev. E 94, 022127 (2016), 2015
Assessing the significance of alignment scores of optimally aligned DNA or amino acid sequences can be achieved via the knowledge of the score distribution of random sequences. But this requires obtaining the distribution in the biologically relevant high-scoring region, where the probabilities are exponentially small.
arxiv   +1 more source

Protein Multiple Sequence Alignment [PDF]

open access: yes, 2008
Protein sequence alignment is the task of identifying evolutionarily or structurally related positions in a collection of amino acid sequences. Although the protein alignment problem has been studied for several decades, many recent studies have demonstrated considerable progress in improving the accuracy or scalability of multiple and pairwise ...
Kazutaka Katoh, Chuong B. Do
openaire   +3 more sources

Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences

open access: yesIEEE Access, 2019
The computational techniques for nucleic acid and protein sequence comparison reduce the extensive burden of molecular biologists. The sequence alignment is one of the main research areas in bioinformatics, and comparative genomics and proteomics lead us
Muhammad Ishaq   +3 more
doaj   +1 more source

Aligning Multiple Sequences with Genetic Algorithm [PDF]

open access: yes, 2009
The alignment of biological sequences is a crucial tool in molecular biology and genome analysis. It helps to build a phylogenetic tree of related DNA sequences and also to predict the function and structure of unknown protein sequences by aligning ...
Adebiyi, E. F.   +2 more
core   +1 more source

Multiple sequence alignment accuracy and evolutionary distance estimation

open access: yesBMC Bioinformatics, 2005
Background Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and ...
Rosenberg Michael S
doaj   +1 more source

BEAST: Bayesian evolutionary analysis by sampling trees [PDF]

open access: yes, 2007
Background The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, and molecular population genetics ...
Drummond, Alexei J., Rambaut, Andrew
core   +3 more sources

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