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• W2949388087 abstract "Abstract Background Massively-parallel sequencing at depth is now enabling tumor heterogeneity and evolution to be characterized in unprecedented detail. Tracking these changes in clonal architecture often provides insight into therapeutic response and resistance. Easily interpretable data visualizations can greatly aid these studies, especially in cases with multiple timepoints. Current data visualization methods are typically manual and laborious, and often only approximate subclonal fractions. Results We have developed an R package that accurately and intuitively displays changes in clonal structure over time. It requires simple input data and produces illustrative and easy-to-interpret graphs suitable for diagnosis, presentation, and publication. Conclusions The simplicity, power, and flexibility of this tool make it valuable for visualizing tumor evolution, and it has potential utility in both research and clinical settings. Fishplot is available at https://github.com/chrisamiller/fishplot" @default.
• W2949388087 created "2019-06-27" @default.
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• W2949388087 date "2016-06-15" @default.
• W2949388087 modified "2023-09-28" @default.
• W2949388087 title "Visualizing tumor evolution with the fishplot package for R" @default.
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• W2949388087 doi "https://doi.org/10.1101/059055" @default.
• W2949388087 hasPublicationYear "2016" @default.
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