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. 2019 Mar 21;20:151. doi: 10.1186/s12859-019-2711-y

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© The Author(s) 2019

Open Access This 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. 2 — SSS-score s of synthetic data sets with simulated negative evolutionary constraints compared to simulated positive selection. Each data set is composed of 100 sequences, evolved from one ancestral sequence to one extant sequence, differing by 5 (left) or 10 (right) accepted substitutions from the ancestor