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. 2022 Nov 7;39(1):btac721. doi: 10.1093/bioinformatics/btac721

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© The Author(s) 2022. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 2. — The percentage of different mutation signatures in our corpus and comparison of recognition results. (A) The percentage of different mutation signatures in the total corpus (1246 abstracts). (B) The percentage of different mutation signatures in the corpus of different viruses. (C) The percentage of different mutation signatures in SARS-CoV-2 and IV corpus (212 abstracts). (D) The percentage of false negative and true positive mutation signatures in the test dataset by ViMRT, MutationFinder, nala and tmVar, respectively