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Choosing non-redundant representative subsets of protein sequence data sets using submodular optimization
Selecting a non-redundant representative subset of sequences is a common step in many bioinformatics workflows, such as the creation of non-redundant training sets for sequence and structural models or selection of “operational taxonomic units” from metagenomics data. Previous methods for this task,...
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| Publicado no: | Proteins |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5835207/ https://ncbi.nlm.nih.gov/pubmed/29345009 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prot.25461 |
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