Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

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...

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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: BMC 2017-09-01
Series:Genome Biology
Subjects:
Metagenomics
Shotgun sequencing
Taxonomy
Classification
Comparison
Ensemble methods
Online Access:http://link.springer.com/article/10.1186/s13059-017-1299-7

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http://link.springer.com/article/10.1186/s13059-017-1299-7

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