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Related Experiment Video

Updated: Dec 8, 2025

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Published on: November 18, 2014

PAWER: protein array web exploreR.

Dmytro Fishman^1,2, Ivan Kuzmin¹, Priit Adler^1,2

¹Institute of Computer Science, University of Tartu, Narva mnt 18, Tartu, 51009, Estonia.

BMC Bioinformatics

|September 18, 2020

Summary

This summary is machine-generated.

PAWER is a new web tool simplifying protein microarray data analysis for biologists. It integrates preprocessing, differential expression, and functional enrichment, offering a user-friendly solution for complex bioinformatics workflows.

Keywords:

Data analysis Normalisation Protein microarray Visualisation Web tool

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Last Updated: Dec 8, 2025

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Published on: November 18, 2014

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Analysis of Histone Antibody Specificity with Peptide Microarrays

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Area of Science:

Bioinformatics
Proteomics
Computational Biology

Background:

Protein microarrays enable high-throughput analysis of protein activity.
Analyzing protein microarray data is complex, time-consuming, and requires bioinformatics expertise.
Existing tools are often outdated, difficult to integrate, or require programming skills.

Purpose of the Study:

To develop an integrated, user-friendly web tool for comprehensive protein microarray data analysis.
To provide biologists with direct access to advanced computational methods for analyzing protein microarray experiments.
To streamline the typically fragmented bioinformatics workflow for protein microarray data.

Main Methods:

Development of PAWER, a dedicated online web tool for protein microarray analysis.
Integration of data preprocessing, differential expression analysis, and functional enrichment.
Provision of an accompanying R package for advanced and customized analysis.

Main Results:

PAWER offers a unified platform for executing the entire protein microarray analysis pipeline.
The tool provides a user-friendly interface, simplifying complex bioinformatics tasks for biologists.
Publication-ready illustrations are generated, facilitating data interpretation and reporting.

Conclusions:

PAWER is a freely available resource that democratizes protein microarray data analysis.
The tool empowers biologists to perform sophisticated analyses without extensive programming knowledge.
PAWER enhances the efficiency and accessibility of protein microarray data interpretation.