期刊
CELL
卷 178, 期 4, 页码 779-794出版社
CELL PRESS
DOI: 10.1016/j.cell.2019.07.010
关键词
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资金
- National Institute of Allergy and Infectious Diseases, NIH, Department of Health and Human Services [U19AI110818]
- Bill and Melinda Gates Foundation
- NSF Graduate Research Fellowship Program
- Human Frontiers in Science Program [LT000553/2016]
- Broad Institute
Metagenomic sequencing is revolutionizing the detection and characterization of microbial species, and a wide variety of software tools are available to perform taxonomic classification of these data. The fast pace of development of these tools and the complexity of metagenomic data make it important that researchers are able to benchmark their performance. Here, we review current approaches for metagenomic analysis and evaluate the performance of 20 metagenomic classifiers using simulated and experimental datasets. We describe the key metrics used to assess performance, offer a framework for the comparison of additional classifiers, and discuss the future of metagenomic data analysis.
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