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. 2018 Dec 11;9:632. doi: 10.3389/fgene.2018.00632

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Copyright © 2018 Bris, Goudenege, Desquiret-Dumas, Charif, Colin, Bonneau, Amati-Bonneau, Lenaers, Reynier and Procaccio.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performances of in silico prediction tools for non-synonymous mtDNA variants. A set of 38 confirmed pathogenic variants (M) and 224 non-synonymous variants classified as mtDNA polymorphisms (P) according to Mitomap, were assessed with 19 different prediction tools. Information about the different in silico tools is available at MitImpact2 website (http://mitimpact.css-mendel.it/). Variants were classified into 4 categories: benign (green), medium (orange), damaging (red) and no prediction (hatched) according to the tool prediction. Results are expressed as percentages. *In silico tools developed for mtDNA.