Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

Abstract 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, comprehens...

Descripció completa

Dades bibliogràfiques

Autors principals:	Alexa B. R. McIntyre, Rachid Ounit, Ebrahim Afshinnekoo, Robert J. Prill, Elizabeth Hénaff, Noah Alexander, Samuel S. Minot, David Danko, Jonathan Foox, Sofia Ahsanuddin, Scott Tighe, Nur A. Hasan, Poorani Subramanian, Kelly Moffat, Shawn Levy, Stefano Lonardi, Nick Greenfield, Rita R. Colwell, Gail L. Rosen, Christopher E. Mason
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2017-09-01
Col·lecció:	Genome Biology
Matèries:	Metagenomics Shotgun sequencing Taxonomy Classification Comparison Ensemble methods
Accés en línia:	http://link.springer.com/article/10.1186/s13059-017-1299-7
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!