2016
DOI: 10.1186/s12864-016-3195-z
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Visualizing tumor evolution with the fishplot package for R

Abstract: BackgroundMassively-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. In complex cases involving multiple timepoints, standard visualizations, such as scatterplots, can be difficult to interpret. Current data visualization methods are also typically manual and laborious, and often only approximate subclonal fractions.ResultsWe h… Show more

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Cited by 157 publications
(104 citation statements)
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“…Clonality was assigned based on allele frequency of pathological variants, as reported from the targeted sequencing panel. Visualization was generated using the fishplot package in R version 3.4.0 …”
Section: Methodsmentioning
confidence: 99%
“…Clonality was assigned based on allele frequency of pathological variants, as reported from the targeted sequencing panel. Visualization was generated using the fishplot package in R version 3.4.0 …”
Section: Methodsmentioning
confidence: 99%
“…The tumor content in plasma and the contribution of each metastasis to the ctDNA released in the plasma were plotted using FishPlot package (Miller et al, 2016) of the software package R v 3.2.3 (www.r-project.org).…”
Section: Radiological Assessmentsmentioning
confidence: 99%
“…Peptides that were not identified in tissue were classified as ''not detected'' and showed with black color in the plot. The rearrangements contribution of each metastasis to the circulating TCR in the blood were plotted using FishPlot package (Miller et al, 2016) of the software package R v 3.2.3 (www.r-project.org).…”
Section: Radiological Assessmentsmentioning
confidence: 99%
“…The distance between sample times is relative to the actual number of days between them. This plot was created using fishplot v. 0.3 [71].…”
Section: Resultsmentioning
confidence: 99%