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Related Concept Videos

Multiple Bar Graph01:07

Multiple Bar Graph

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.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Pie Chart01:04

Pie Chart

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.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
Bar Graph01:07

Bar Graph

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...
Boxplot01:12

Boxplot

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...
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

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Related Experiment Video

Updated: Jun 27, 2026

A Graphical User Interface for Software-assisted Tracking of Protein Concentration in Dynamic Cellular Protrusions
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CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data.

Keegan Flanagan1, Steven Pelech2, Yossef Av-Gay3

  • 1Department of Mathematics and Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada.

Statistical Applications in Genetics and Molecular Biology
|August 18, 2023
PubMed
Summary

CAT PETR is a user-friendly web application for analyzing antibody microarray data. It provides advanced visualization and statistical options for differential expression and phosphorylation analysis, enhancing biological insights.

Keywords:
antibody microarraydifferential analysismicroarray servicesphosphorylationvisualization

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Area of Science:

  • * Proteomics and Bioinformatics
  • * Systems Biology
  • * Molecular Biology

Background:

  • * Antibody microarrays are high-throughput tools for monitoring cellular responses.
  • * Analyzing antibody microarray data is computationally challenging due to a lack of specialized tools.
  • * Existing graphical user interface (GUI) tools have limitations in data input and visualization.

Purpose of the Study:

  • * To present CAT PETR, a novel web application for analyzing antibody microarray data.
  • * To provide a user-friendly platform for differential expression and phosphorylation analysis.
  • * To overcome the limitations of existing computational tools for antibody microarray data.

Main Methods:

  • * Development of a web application named CAT PETR.
  • * Implementation of diverse data input options.
  • * Integration of advanced visualization and statistical analysis functionalities.
  • * Differential analysis of expression and phosphorylation data.

Main Results:

  • * CAT PETR successfully replicates previous findings from antibody microarray studies.
  • * The application reveals additional biological insights beyond existing analyses.
  • * Advanced visualization and statistical options enhance data interpretation.
  • * User-friendly interface facilitates accessibility for researchers.

Conclusions:

  • * CAT PETR is an effective tool for the differential analysis of antibody microarray data.
  • * The application enhances the discovery of cellular responses to perturbations.
  • * CAT PETR offers advanced capabilities for deeper biological insights.
  • * This tool addresses a critical need in the analysis of high-throughput proteomic data.