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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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DNA microarray technology and bioinformatic web services.

Payam Behzadi1, Reza Ranjbar2

  • 11 Department of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University , Tehran, Iran.

Acta Microbiologica Et Immunologica Hungarica
|July 17, 2018
PubMed
Summary

Bioinformatics expertise is crucial for optimizing pan-genomic microarray techniques by minimizing biases and enhancing accuracy in probe design. This involves selecting appropriate bioinformatics tools and databases for both in silico and in vitro studies.

Keywords:
bioinformaticscomputational molecular biologydatabasemicroarray

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Diagnostics

Background:

  • Pan-genomic microarray techniques are valuable diagnostic tools in environmental and clinical research.
  • Expert bioinformatics knowledge is essential for maximizing the accuracy and flexibility of microarray analyses.
  • Probe design is a critical step influencing the reliability of microarray results.

Purpose of the Study:

  • To highlight the importance of bioinformatics in microarray probe design.
  • To review essential software, tools, and databases for effective probe design.
  • To emphasize the role of bioinformatics in reducing outcome biases in microarray studies.

Main Methods:

  • The study discusses the integration of dry lab (in silico) and wet lab (in vitro) components of microarray techniques.
  • Focuses on the selection and utilization of appropriate bioinformatics software, tools, and databases.
  • Explores various online and offline resources for probe design.

Main Results:

  • Expert bioinformatics input significantly minimizes biases and enhances the accuracy of pan-genomic microarray results.
  • The judicious selection of databases, software, and tools is critical for reliable outcomes.
  • Complementary dry lab and wet lab approaches ensure comprehensive analysis.

Conclusions:

  • Bioinformatics knowledge is indispensable for successful pan-genomic microarray studies.
  • Careful probe design using appropriate bioinformatics resources is key to accurate diagnostics.
  • The integration of computational and experimental approaches optimizes microarray technique utility.