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Related Experiment Video

Updated: Aug 23, 2025

Analysis of Histone Antibody Specificity with Peptide Microarrays

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

EPIphany-A Platform for Analysis and Visualization of Peptide Immunoarray Data.

Zoe Parker Cates¹, Antonio Facciuolo², Daniel Hogan¹

¹Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.

Frontiers in Bioinformatics

|October 28, 2022

Summary

This summary is machine-generated.

EPIphany software offers a user-friendly platform for analyzing antibody responses using immunoarrays. This tool simplifies the examination of antibody reactivity and diversity, aiding vaccine development.

Keywords:

antibodies data normalization data visualization epitope analysis immunoarray immunosignature web service

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Analysis of Histone Antibody Specificity with Peptide Microarrays

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Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Area of Science:

Immunology
Bioinformatics

Background:

Antibodies are key to the humoral immune system, crucial for pathogen defense and vaccine responses.
Understanding antibody reactivity to antigenic determinants is vital for vaccine development.
Advanced techniques for antibody analysis are often inaccessible due to cost and expertise requirements.

Purpose of the Study:

To introduce EPIphany, a novel software platform designed for analyzing antibody reactivity and diversity.
To provide a user-friendly, web-based interface for researchers to interpret immunoarray data.
To facilitate the discovery and development of novel immunotherapeutics through accessible data analysis.

Main Methods:

Development of EPIphany, a web-based software platform with a graphical user interface.
Implementation of data normalization options and various visualization tools for immunoarray data.
Focus on biological users to ensure ease of use and accessibility.

Main Results:

EPIphany provides essential analysis parameters and data normalization for immunoarray data.
The platform offers unique visualization options for exploring antibody reactivity and diversity.
It empowers researchers to extract biologically meaningful insights from complex datasets.

Conclusions:

EPIphany addresses the need for user-friendly tools in immunoarray data analysis.
The software enhances the ability to study antibody populations and antigenic determinants.
EPIphany facilitates the development of new vaccines and immunotherapeutics.