2021
DOI: 10.1091/mbc.e21-03-0130
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Violin SuperPlots: visualizing replicate heterogeneity in large data sets

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Cited by 33 publications
(33 citation statements)
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“…Distributions of capsid and virion widths were illustrated using a Violin SuperPlot [ 102 ], with data grouped by source tomograms. The stacked area plots for the proportion of infected cells at different stages of infection were generated using the ggplot2 package [ 103 ] in R studio [ 104 ].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Distributions of capsid and virion widths were illustrated using a Violin SuperPlot [ 102 ], with data grouped by source tomograms. The stacked area plots for the proportion of infected cells at different stages of infection were generated using the ggplot2 package [ 103 ] in R studio [ 104 ].…”
Section: Methodsmentioning
confidence: 99%
“…The distribution of vesicle widths were illustrated using a SuperPlot [ 105 ], with data grouped by source tomograms. The numbers of mitochondrial branch points (branching nodes) were illustrated using a Violin SuperPlot [ 102 ], with data grouped by replicate. A two-tailed paired t-test was used to compare the width of the nuclear envelope at a site of primary envelopment with the width of the nuclear envelope elsewhere on the same tomogram using Excel (Microsoft).…”
Section: Methodsmentioning
confidence: 99%
“…Data obtained from the same heart are indicated by color and presented as either individual points or as violin superplots including information on data heterogeneity—the normalized density estimates of individual replicates are stacked to show how each replicate (color-coded area) contributes to the overall density estimate (outline) [ 16 ]; all graphs additionally indicate the mean ± standard error of the mean (SEM). Statistical significance of data was assessed based on mean values of all daily recordings to avoid pseudo-replication.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, one of the exceptional features of R is that it can overlap not only text (in the previous examples, the outputs of statistical tests) with graphics, but also several graphical layers. In the following example, the three distributions are shown using three tracks: standard box plots [ 51 ], beeswarm plots [ 52 ] and violin plots [ 53 ] in order to fully assess the features of the distributions. The and functions require the homonymous CRAN packages.…”
Section: Practical Rmentioning
confidence: 99%