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. 2019 Dec 16;20:280. doi: 10.1186/s13059-019-1903-0

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Performance comparison of HOPS, Kraken, SPARSE, metaBIT, and MIDAS. a Number of species that have been correctly identified in the simulated data sets by each of the programs. The bar plot on the upper left shows the percentage of data sets with 50 simulated reads for which the correct species has been identified. The other bar plots show the number of species that have been correctly identified in data sets with 50, 500, and 5000 simulated reads, respectively. b Number of target species identified in the metagenomic background (negative controls) without any spiked-in species-derived data for each of the tested programs