Results 41 to 50 of about 1,008,958 (324)
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.
openaire +2 more sources
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
doaj +1 more source
BEAST: Bayesian evolutionary analysis by sampling trees [PDF]
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
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
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
doaj +1 more source
An entropy based heuristic model for predicting functional sub-type divisions of protein families [PDF]
Multiple sequence alignments of protein families are often used for locating residues that are widely apart in the sequence, which are considered as influential for determining functional specificity of proteins towards various substrates, ligands, DNA ...
Bakis, Yasin +5 more
core +1 more source
Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences
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
Higher accuracy protein Multiple Sequence Alignment by Stochastic Algorithm [PDF]
Multiple Sequence Alignment gives insight into evolutionary, structural and functional relationships among the proteins. Here, a novel Protein Alignment by Stochastic Algorithm (PASA) is developed.
Alpana Dey +4 more
core +1 more source
ABSTRACT Children undergoing allogeneic stem cell transplantation often receive off‐label rituximab treatment for Epstein–Barr virus reactivation, using adult dosing without pediatric evidence. This project aims to develop a clinical decision support tool (CDSS) that provides evidence‐based dosing scenarios by analyzing real‐world patient data.
Birgit Burkhardt +2 more
wiley +1 more source
Multiple sequence alignment accuracy and evolutionary distance estimation
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

