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. 2020 Jul 28;21:334. doi: 10.1186/s12859-020-03667-3

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 1 — Performance of genome binning tools in chicken gut metagenomic datasets and CAMI datasets. F1-score of binning results by genome binning tools in (a) chicken gut metagenomic datasets and in the first CAMI challenge (b) high, (c) medium and (d) low-complexity datasets. (e) Average purity (weighted by bin sizes) and average completeness (genomes reconstructed) by genome binning tools. (f) Average purity (all bins have same weight) and average completeness (genomes reconstructed) by genomes binning tools. (g) ARI (The adjusted rand index) in connection with the segment of common strains (ANI (Average nucleotide identity) ≥ 95%) assigned by genome binning tools. (h) ARI in connection with the segment of common strains (ANI<95%) assigned by genome binning tools