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. 2021 Apr 12;15:21. doi: 10.1186/s40246-021-00320-9

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© The Author(s) 2021

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. 2 — Significantly mutated genes in NSCLC. Waterfall plot of the distribution of SNV/InDel mutations found in tissue (a) and blood (b) patient samples. The top plot show number of mutations per Mb sequenced for a cohort of 914 NSCLC samples. Left plot shows the frequency of samples mutated for the listed gene. The central plot shows the types of mutations (SNV, Insertion, Deletion) in each sample. The distribution of nonsynonymous frameshift insertions and deletions, missense mutations, Stop-gain, and other infrequent alterations (e.g. splicing) in both the tissue (c, e) and blood samples (d, f)