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Visualize the output from GatherMolecularBarcodeDistributionByGene to assess UMI duplication rates

✓ Published0🌍 Public
FFloWuenne
Last edited Aug 2, 2017
Created on Aug 2, 2017

This example visualizes the relationship between duplicated and unique UMI counts, split by cell and by gene, to assess UMI duplication rates. Scatter plots show each cell or gene as a point, with axes for duplicated versus unique UMIs, while histograms display the distribution of mean duplication events per cell. The code uses R’s ggplot2 and plotly to build interactive scatter plots with tooltips, and dplyr for data wrangling. It calculates per-cell and per-gene duplication percentages from a table of UMI observations, highlighting overall duplication patterns.

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