RT Journal Article SR Electronic T1 Visualizing tumor evolution with the fishplot package for R JF bioRxiv FD Cold Spring Harbor Laboratory SP 059055 DO 10.1101/059055 A1 Christopher A. Miller A1 Joshua McMichael A1 Ha X. Dang A1 Christopher A. Maher A1 Li Ding A1 Timothy J. Ley A1 Elaine R. Mardis A1 Richard K. Wilson YR 2016 UL http://biorxiv.org/content/early/2016/06/15/059055.abstract AB 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