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...

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Detalles Bibliográficos
Autores principales: Pereira-Flores, Emiliano, Glöckner, Frank Oliver, Fernandez-Guerra, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
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

Internet

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

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