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Taxonomic weighting improves the accuracy of a gap-filling algorithm for metabolic models
MOTIVATION: The increasing availability of annotated genome sequences enables construction of genome-scale metabolic networks, which are useful tools for studying organisms of interest. However, due to incomplete genome annotations, draft metabolic models contain gaps that must be filled in a time-c...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7523652/ https://ncbi.nlm.nih.gov/pubmed/31688932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz813 |
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