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Related Experiment Video

Updated: May 11, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org.

Lars M T Eijssen1, Magali Jaillard, Michiel E Adriaens

  • 1Department of Bioinformatics-BiGCaT, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands. l.eijssen@maastrichtuniversity.nl

Nucleic Acids Research
|April 27, 2013
PubMed
Summary
This summary is machine-generated.

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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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This study introduces a new, free tool for quality control (QC) and pre-processing of Affymetrix gene expression data. The tool simplifies complex genomics data analysis for researchers of all experience levels, improving data quality and reuse.

Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • Quality control (QC) is essential for reliable scientific data, particularly in genomics.
  • Genomics generates large datasets using complex technologies, posing QC challenges.
  • Existing QC and pre-processing methods for Affymetrix gene expression chips are often fragmented and difficult to use.

Purpose of the Study:

  • To develop an integrated, user-friendly tool for QC and pre-processing of Affymetrix gene expression data.
  • To address the lack of accessible tools for researchers with varying levels of experience in genomics data analysis.
  • To harmonize and extend existing Bioconductor functionalities for Affymetrix data.

Main Methods:

  • Developed a freely available tool integrating and extending Bioconductor packages.

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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

Related Experiment Videos

Last Updated: May 11, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

  • Implemented the tool through a web portal (http://www.arrayanalysis.org) with a wizard-like interface.
  • Provided extensive documentation, including user guides and interpretation aids.
  • Main Results:

    • The tool offers a unified solution for QC and pre-processing of Affymetrix gene expression data.
    • The web portal and downloadable R package cater to users of all experience levels.
    • Extensive documentation facilitates understanding and application of state-of-the-art methods.

    Conclusions:

    • The developed tool enhances data quality and promotes data reuse in genomics research.
    • Increased accessibility of advanced QC and pre-processing methods will foster adoption of standards.
    • This initiative supports the scientific community by simplifying complex genomics data analysis.