A recent article in MBoC (Goedhart, 2021) presented a web interface for the creation of
‘SuperPlots’. SuperPlots were introduced by Lord and colleagues last year (Lord et al., 2020) to
visualise both cell-level variability within replicates as well as the experimental reproducibility
between replicates in one single plot. Simple bar charts or boxplots of mean or median values
from experimental replicates mask the contribution of underlying cell-to-cell variations in
individual experiments, whereas pooling cell-level data across replicates overemphasises
statistical differences. The SuperPlot put forward by Lord et al. uses a beeswarm plot to display
the cell-level data color-coded according to the individual replicates, and overlays the mean (or
median) and error bars (standard deviation or confidence intervals) of each replicate (Figure
1a). The new web interface (Goedhart, 2021) offers an online option for researchers to generate
beeswarm SuperPlots, as well as RainCloud plots (Allen et al., 2021), using their own data. We
welcome the transparency brought by SuperPlots and would like to introduce an augmentation,
the Violin SuperPlot, to further simplify visual inspection of raw data containing large sample
sizes.
Funding
RCSI
History
Comments
The original article is available at https://www.molbiolcell.org
Published Citation
Kenny M, Schoen I. Violin SuperPlots: visualizing replicate heterogeneity in large data sets. Mol Biol Cell. 2021;32(15):1333-1334.