TY - JOUR T1 - Visualizing tumor evolution with the fishplot package for R JF - bioRxiv DO - 10.1101/059055 SP - 059055 AU - Christopher A. Miller AU - Joshua McMichael AU - Ha X. Dang AU - Christopher A. Maher AU - Li Ding AU - Timothy J. Ley AU - Elaine R. Mardis AU - Richard K. Wilson Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/06/15/059055.abstract N2 - 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 ER -