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Clustering huge protein sequence sets in linear time

Metagenomic datasets contain billions of protein sequences that could greatly enhance large-scale functional annotation and structure prediction. Utilizing this enormous resource would require reducing its redundancy by similarity clustering. However, clustering hundreds of millions of sequences is...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Steinegger, Martin, Söding, Johannes
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6026198/
https://ncbi.nlm.nih.gov/pubmed/29959318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-04964-5
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