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Fast and accurate average genome size and 16S rRNA gene average copy number computation in metagenomic data
BACKGROUND: Metagenomics caused a quantum leap in microbial ecology. However, the inherent size and complexity of metagenomic data limit its interpretation. The quantification of metagenomic traits in metagenomic analysis workflows has the potential to improve the exploitation of metagenomic data. M...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727555/ https://www.ncbi.nlm.nih.gov/pubmed/31488068 http://dx.doi.org/10.1186/s12859-019-3031-y |