A standardized, extensible framework for optimizing classification improves marker-gene taxonomic assignments

Nicholas A. Bokulich, Jai Ram Rideout, Evguenia Kopylova, Evan Bolyen, Jessica Patnode, Zach Ellett, Daniel McDonald, Benjamin E. Wolfe, Corinne F. Maurice, Rachel J. Dutton,

2015 · 28 citations · 9 references

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Abstract

Background : Taxonomic classification of marker-gene (i.e., amplicon) sequences represents an important step for molecular identification of microorganisms. Results : We present three advances in our ability to assign and interpret taxonomic classifications of short marker gene sequences: two new methods for taxonomy assignment, which reduce runtime up to two-fold and achieve high-precision genus-level assignments; an evaluation of classification methods that highlights differences in performance with different marker genes and at different levels of taxonomic resolution; and an extensible framework for evaluating and optimizing new classification methods, which we hope will serve as a model for standardized and reproducible bioinformatics methods evaluations. Conclusions : Our new methods are accessible in QIIME 1.9.0, and our evaluation framework will support ongoing optimization of classification methods to complement rapidly evolving short-amplicon sequencing and bioinformatics technologies. Static versions of all of the analysis notebooks generated with this framework, which contain all code and analysis results, can be viewed at http://bit.ly/srta-012 .

References

9