HMMerge: an ensemble method for multiple sequence alignment

MOTIVATION: Despite advances in method development for multiple sequence alignment over the last several decades, the alignment of datasets exhibiting substantial sequence length heterogeneity, especially when the input sequences include very short sequences (either as a result of sequencing technol...

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Detalles Bibliográficos
Autores principales: Park, Minhyuk, Warnow, Tandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148686/
https://www.ncbi.nlm.nih.gov/pubmed/37128578
http://dx.doi.org/10.1093/bioadv/vbad052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148686/
https://www.ncbi.nlm.nih.gov/pubmed/37128578
http://dx.doi.org/10.1093/bioadv/vbad052

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