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. 2019 Mar 28;11:25. doi: 10.1186/s13321-019-0347-6

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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. 6 — 3-objective versus 2-objective comparison. Parallel representation of the best solutions obtained by 2-objective (blue dots) and 3-objective (red crosses) optimization marking the overlapping solutions (circled) for the same input data in terms of mass diversity (x-axis) and sequence diversity (y-axis) relative to the total number of permutations for a r = 5, m = 6 and $x_{i} = s, e, r, w, a, G$ ; $x_{6} = y$ library design and for b r = 5, m = 7 and $x_{i} = s, e, r, w, a, G, i$ ; $x_{3} = p$ , $x_{7} = y$ library design