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. 2022 May 13;21:11769351221097593. doi: 10.1177/11769351221097593

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© The Author(s) 2022

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 2. — Bar plot showing the percentage of novel and existing variants identified by variant calling. X-axis shows the sample IDs while y-axis shows the percentage of novel and existing variants. The sample ID SRR941052 was found to have 60.3% of novel variants and 59% of novel variants were observed in SRR941053 and ERR232255. Further, 49.9% of existing variants were observed in ERR166336, 49.7% in ERR166335, and 47.6% in ERR166312. Several novels and existing variants were called; however, organized and meaningful data were obtained only after normalization.