MSARC: Multiple sequence alignment by residue clustering

BACKGROUND: Progressive methods offer efficient and reasonably good solutions to the multiple sequence alignment problem. However, resulting alignments are biased by guide-trees, especially for relatively distant sequences. RESULTS: We propose MSARC, a new graph-clustering based algorithm that align...

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Detalles Bibliográficos
Autores principales: Modzelewski, Michał, Dojer, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036715/
https://www.ncbi.nlm.nih.gov/pubmed/24735785
http://dx.doi.org/10.1186/1748-7188-9-12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4036715/
https://www.ncbi.nlm.nih.gov/pubmed/24735785
http://dx.doi.org/10.1186/1748-7188-9-12

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