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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Genome Biol
Main Authors: 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.
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2017
Teme:
Research
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5609029/
https://ncbi.nlm.nih.gov/pubmed/28934964
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-017-1299-7
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