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. 2019 Apr 1;7:52. doi: 10.1186/s40168-019-0670-1

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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. 4 — The ability to correctly classify metagenomic fragments for fARGene and five competing methods. The performance of fARGene was consistently higher than all compared methods (in average, 87% compared to 55%, 7.5%, 52%, 42%, 46%, and 0%, for deepARG, Resfams, MEGAN SEED, MEGAN eggNOG, ARGs-OAP, and GROOT, respectively)