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Related Concept Videos

Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Multiple Bar Graph01:07

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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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Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
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Interpreting R Charts01:22

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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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Pie Chart01:04

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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
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Modified Boxplots00:57

Modified Boxplots

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A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
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Related Experiment Video

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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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STRUCTURE PLOT: a program for drawing elegant STRUCTURE bar plots in user friendly interface.

Ramesh Krishnan Ramasamy1, Sumathy Ramasamy2, Bharat Bushan Bindroo3

  • 1Molecular Biology Laboratory-1, Host Plant Improvement, Central Sericultural Research and Training Institute, Srirampura, Manandavadi Road, Mysore, 570008 India.

Springerplus
|August 26, 2014
PubMed
Summary
This summary is machine-generated.

STRUCTURE PLOT is a new, user-friendly tool for visualizing population genetic structure. This application generates publication-quality bar plots from STRUCTURE or CLUMPP output, enhancing genetic data interpretation.

Keywords:
CLUMPPDISTRUCTR programSTRUCTURE HARVESTERShiny

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Area of Science:

  • Population Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding population structure is crucial in genetic studies.
  • The STRUCTURE program is widely used for inferring population genetics.
  • A graphical interface for visualizing STRUCTURE bar plots was lacking.

Purpose of the Study:

  • To introduce STRUCTURE PLOT, a novel program for visualizing population structure.
  • To provide a user-friendly graphical interface for STRUCTURE bar plots.

Main Methods:

  • Developed STRUCTURE PLOT as a web application and a standalone R/Shiny application.
  • The program processes individual Q matrix data from STRUCTURE or CLUMPP.
  • Offers customization options for plot aesthetics, sorting, labeling, and output formats.

Main Results:

  • STRUCTURE PLOT generates publication-ready, aesthetic bar plots.
  • Enables flexible visualization with options for sorting, coloring, and labeling.
  • Supports saving plots in various formats and resolutions.

Conclusions:

  • STRUCTURE PLOT is accessible as a web application and a standalone Shiny app.
  • The tool is compatible with major web browsers and can be launched with an R command.
  • Freely available at http://btismysore.in/strplot for researchers.