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),...

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Detalles Bibliográficos
Autores principales: Bagheri, Hamid, Severin, Andrew J, Rajan, Hridesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
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

Internet

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

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