ABSTRACT e purpose of this project is to present a set of algorithms and their eciency for Multiple Sequence Alignment (MSA) and clustering problems, ...
The purpose of this project is to present a set of algorithms and their efficiency for Multiple Sequence Alignment (MSA) and clustering problems, ...
Multiple sequence alignments (MSAs) of homologous sequences contain information on structural and functional constraints and their evolutionary histories.
The purpose of this project is to present a set of algorithms and their efficiency for Multiple Sequence Alignment (MSA) and clustering problems, including also ...
This article presents an immune inspired algorithm to tackle the Multiple Sequence Alignment (MSA) problem.
A multiple alignment avoids possible inconsistencies among several pairwise alignments and can elucidate relationships not evident from pairwise comparisons.
An algorithm is presented for the multiple alignment of sequences, either proteins or nucleic acids, that is both accurate and easy to use on microcomputers.
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Multiple Sequence Alignment (MSA) is one of the fundamental tasks in biological sequence analysis that underlies applications such as.
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Pairwise sequence alignment is the process of aligning two sequences to each other by optimizing the similarity score between them.
Jun 18, 2019 · We present a graph-based clustering method to address MSA uncertainty and error in the software Divvier (available at https://github.com/simonwhelan/Divvier)