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+WEVOTE (WEighted VOting Taxonomic idEntification)
+
+WEVOTE is a method that classifies metagenome shotgun sequencing DNA
+reads based on an ensemble of existing methods using k-mer based,
+marker-based, and naive-similarity based approaches. The performance
+evaluation based on fourteen simulated microbiome datasets
+consistently demonstrates that WEVOTE achieves a high level of
+sensitivity and precision compared to the individual methods across
+different taxonomic levels. The major advantage of the WEVOTE pipeline
+is that the user can make the choice of which tools to use in order to
+explore the trade-off between sensitivity, precision, time and memory.
+
+The WEVOTE architecture is flexible so that additional taxonomic tools
+can be easily added, or the current tools can be replaced by improved
+ones. Moreover, the score assigned to the taxon for each read
+indicates the confidence level of the assignment. This information is
+especially useful for the assessment of false positive annotations at
+a particular taxonomic level. The classification score given by WEVOTE
+can be used for any downstream analysis that requires the high
+confidence of the annotated sequences.
+
+Publication:
+Ahmed A. Metwally, Yang Dai, Patricia W. Finn, and David L. Perkins.
+WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial
+Sequences.
+PloS ONE, 2016.