Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

BACKGROUND: One of the main challenges in metagenomics is the identification of microorganisms in clinical and environmental samples. While an extensive and heterogeneous set of computational tools is available to classify microorganisms using whole-genome shotgun sequencing data, comprehensive comp...

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Detalles Bibliográficos
Autores principales: McIntyre, Alexa B. R., Ounit, Rachid, Afshinnekoo, Ebrahim, Prill, Robert J., Hénaff, Elizabeth, Alexander, Noah, Minot, Samuel S., Danko, David, Foox, Jonathan, Ahsanuddin, Sofia, Tighe, Scott, Hasan, Nur A., Subramanian, Poorani, Moffat, Kelly, Levy, Shawn, Lonardi, Stefano, Greenfield, Nick, Colwell, Rita R., Rosen, Gail L., Mason, Christopher E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609029/
https://www.ncbi.nlm.nih.gov/pubmed/28934964
http://dx.doi.org/10.1186/s13059-017-1299-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609029/
https://www.ncbi.nlm.nih.gov/pubmed/28934964
http://dx.doi.org/10.1186/s13059-017-1299-7

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