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Related Experiment Video

Updated: Jun 21, 2026

High-throughput Protein Expression Generator Using a Microfluidic Platform
09:26

High-throughput Protein Expression Generator Using a Microfluidic Platform

Published on: August 23, 2012

PASE: a web-based platform for peptide/protein microarray experiments.

Fabien Pamelard1, Gael Even, Costin Apostol

  • 1CIB, Génopole de Lille, Universités de Lille 1 et 2, LIFL, Bâtiment M3, Cité scientifique, Villeneuve d'Ascq cedex, France.

Methods in Molecular Biology (Clifton, N.J.)
|August 4, 2009
PubMed
Summary
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Bioinformatics tools are essential for managing peptide microarray data. We developed the Protein Array Software Environment (PASE) to integrate and analyze this complex polypeptide chip information.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Peptide microarray technology generates substantial data requiring advanced bioinformatics and statistical analysis.
  • Effective management and analysis are crucial for extracting meaningful insights from high-throughput peptide chip experiments.

Purpose of the Study:

  • To develop an integrated software solution for managing and analyzing data from peptide microarray experiments.
  • To provide a robust bioinformatics framework addressing the challenges of polypeptide chip data.

Main Methods:

  • Development of the Protein Array Software Environment (PASE) system.
  • Implementation of integrated data management and statistical analysis tools.
  • Focus on polypeptide chip technologies.

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Last Updated: Jun 21, 2026

High-throughput Protein Expression Generator Using a Microfluidic Platform
09:26

High-throughput Protein Expression Generator Using a Microfluidic Platform

Published on: August 23, 2012

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
13:22

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays

Published on: October 23, 2019

Identifying Protein-protein Interaction Sites Using Peptide Arrays
07:44

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Published on: November 18, 2014

Main Results:

  • PASE offers a unified platform for handling large-scale peptide microarray datasets.
  • The system facilitates efficient data storage, retrieval, and analysis.
  • Provides essential bioinformatics support for researchers in the field.

Conclusions:

  • The Protein Array Software Environment (PASE) effectively addresses the need for specialized bioinformatics tools in peptide microarray research.
  • PASE enables comprehensive management and analysis of polypeptide chip data, advancing the field.