SWeeP: representing large biological sequences datasets in compact vectors

Vectoral and alignment-free approaches to biological sequence representation have been explored in bioinformatics to efficiently handle big data. Even so, most current methods involve sequence comparisons via alignment-based heuristics and fail when applied to the analysis of large data sets. Here,...

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Detalles Bibliográficos
Autores principales: De Pierri, Camilla Reginatto, Voyceik, Ricardo, Santos de Mattos, Letícia Graziela Costa, Kulik, Mariane Gonçalves, Camargo, Josué Oliveira, Repula de Oliveira, Aryel Marlus, de Lima Nichio, Bruno Thiago, Marchaukoski, Jeroniza Nunes, da Silva Filho, Antonio Camilo, Guizelini, Dieval, Ortega, J. Miguel, Pedrosa, Fabio O., Raittz, Roberto Tadeu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952362/
https://www.ncbi.nlm.nih.gov/pubmed/31919449
http://dx.doi.org/10.1038/s41598-019-55627-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952362/
https://www.ncbi.nlm.nih.gov/pubmed/31919449
http://dx.doi.org/10.1038/s41598-019-55627-4

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