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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: May 17, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Pathway-based visualization of cross-platform microarray datasets.

Clemens Wrzodek1, Johannes Eichner, Andreas Zell

  • 1Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, 72076 Tübingen, Germany. clemens.wrzodek@uni-tuebingen.de

Bioinformatics (Oxford, England)
|October 11, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new pathway-based visualization method for integrating multiple microarray datasets. The InCroMAP tool enables holistic visualization of diverse genomic features, including DNA methylation and microRNA expression, within biological pathways.

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Last Updated: May 17, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • Microarrays traditionally analyze gene expression but now cover diverse genomic features like microRNAs (miRNAs) and DNA methylation (DNAm).
  • Existing visualization methods often focus on single platforms and struggle to integrate cross-platform data, especially for non-coding genomic elements and epigenetic modifications.
  • There is a need for pathway-centered visualization methods that can integrate diverse genomic data types, including miRNAs and DNAm, from multiple microarray studies.

Purpose of the Study:

  • To present a novel pathway-based visualization method for the integrative analysis of high-throughput microarray data.
  • To enable visualization of diverse genomic features, including miRNAs and DNA methylation, linked to canonical pathways.
  • To demonstrate the integration of data from multiple microarray platforms (mRNA, miRNA, protein, DNAm) within a pathway context.

Main Methods:

  • Development of a novel pathway-based visualization methodology.
  • Implementation of methods to link DNA methylation and miRNA expression datasets to canonical signaling and metabolic pathways.
  • Strategies for displaying integrated data from multiple proteins and protein modifications.

Main Results:

  • A new method effectively visualizes high-throughput datasets from multiple microarray platforms and diverse genomic features.
  • The methodology successfully links DNA methylation and miRNA expression data to canonical pathways.
  • Integrated visualization of messenger RNA, miRNA, protein, and DNA methylation array data within canonical pathways is demonstrated.

Conclusions:

  • The proposed method offers a powerful approach for the integrative visualization of multi-platform genomic data.
  • This pathway-centered visualization facilitates a more holistic understanding of complex biological systems.
  • The InCroMAP application provides free access to this novel visualization tool.