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. 2020 Jul 25;20:223. doi: 10.1186/s12866-020-01912-6

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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 — Single Nucleotide variations in VPCI591. a. VENN diagram showing the number of SNVs called through the different software and the red circle indicates the consensus. b. Total number of variations and their distribution is represented. The Y axis shows the number of variations, the distribution of the 1917 SNVs along with their genic and non-genic distribution and subcategories are shown, stop gain (green), stop-loss (red), synonymous (cyan), non-synonymous (dark blue)