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Detecting and correcting misclassified sequences in the large-scale public databases
MOTIVATION: As the cost of sequencing decreases, the amount of data being deposited into public repositories is increasing rapidly. Public databases rely on the user to provide metadata for each submission that is prone to user error. Unfortunately, most public databases, such as non-redundant (NR),...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821992/ https://www.ncbi.nlm.nih.gov/pubmed/32579213 http://dx.doi.org/10.1093/bioinformatics/btaa586 |