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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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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

MPDA: microarray pooled DNA analyzer.

Hsin-Chou Yang1, Mei-Chu Huang, Ling-Hui Li

  • 1Institute of Statistical Science, Academia Sinica, Taipei, Taiwan. hsinchou@stat.sinica.edu.tw

BMC Bioinformatics
|April 17, 2008
PubMed
Summary
This summary is machine-generated.

A new tool, Microarray Pooled DNA Analyzer (MPDA), simplifies analysis of whole-genome pooled DNA data from microarray experiments. MPDA offers cost-effective, reliable methods for allele frequency estimation, association mapping, and aberration detection.

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Area of Science:

  • Biotechnology
  • Genomics
  • Bioinformatics

Background:

  • Microarray-based pooled DNA experiments offer a cost-effective approach for large-scale genomic research by combining DNA pooling and gene chip technology.
  • Existing methods for analyzing pooled DNA data are limited, hindering systematic analysis of accumulating whole-genome data.

Purpose of the Study:

  • To develop a user-friendly software tool for analyzing microarray-based pooled DNA data.
  • To provide a comprehensive system for whole-genome pooled DNA analysis, including association mapping and allelic imbalance detection.

Main Methods:

  • Development of the Microarray Pooled DNA Analyzer (MPDA) software.
  • Utilizing MPDA to analyze hybridization intensity data from whole-genome pooled DNA experiments.
  • Demonstrating MPDA functionalities through four distinct whole-genome data analyses.

Main Results:

  • MPDA enables analysis of preferential amplification/hybridization, accurate allele frequency estimation, and reliable association mapping.
  • The software effectively identifies regions of chromosomal aberration in cancer without paired-normal tissue.
  • MPDA provides both graphical and numerical outputs for detailed genomic data inspection.

Conclusions:

  • MPDA integrates pooled DNA association and allelic imbalance analyses into a convenient system for extensive whole-genome data.
  • The software, manual, and examples are freely available online, promoting accessibility for researchers.