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Related Concept Videos

Multiple Bar Graph01:07

Multiple Bar Graph

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
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Modified Boxplots00:57

Modified Boxplots

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Boxplot01:12

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phylobar: an R package for multiresolution compositional barplots in omics studies.

Megan Kuo1, Kim-Anh Lê Cao2, Saritha Kodikara2

  • 1Department of Statistics, University of Wisconsin-Madison, Madison, WI 53703, United States.

Bioinformatics (Oxford, England)
|March 26, 2026
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Summary
This summary is machine-generated.

Stacked barplots can hide important microbiome data patterns. We developed phylobar, an R package, to visualize hierarchical data interactively, revealing hidden taxonomic shifts and improving microbiome analysis.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Data Visualization

Background:

  • Stacked barplots are common in microbiome research but can obscure rare taxa and shifts at finer taxonomic levels.
  • Static visualizations limit the ability to explore complex hierarchical data.
  • There is a need for interactive tools to better visualize and analyze microbiome composition.

Purpose of the Study:

  • Introduce phylobar, an R package designed to enhance the visualization of hierarchical omics data.
  • Provide an interactive interface for exploring microbiome data at various taxonomic resolutions.
  • Demonstrate the utility of phylobar in analyzing immune cell composition in COVID-19 patients.

Main Methods:

  • phylobar is an R package utilizing htmlwidgets to link interactive D3 visualizations with R.
  • The package allows users to collapse/expand subtrees, interactively select color palettes, and search for specific taxa.
  • Interactive plots can be embedded in R Markdown/Quarto notebooks and exported as vector graphics.

Main Results:

  • phylobar overcomes limitations of static stacked barplots by enabling interactive exploration of taxonomic hierarchies.
  • The tool facilitates comparisons across different taxonomic resolutions, uncovering patterns missed in static views.
  • Case study demonstrates effective application in analyzing immune cell composition in COVID-19 patients.

Conclusions:

  • phylobar offers a powerful, interactive solution for visualizing hierarchical omics data, particularly in microbiome studies.
  • The package enhances the discovery of subtle patterns and shifts within complex datasets.
  • Its applicability extends beyond microbiome data to other hierarchically organized biological data, such as cell type hierarchies.