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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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A three-layer multidatabase system for functional statistical analyses of microarray experiment results.

M Masseroli1, D Martucci, F Pinciroli

  • 1Dipt. di Bioingegneria, Politecnico di Milano, Milan, Italy.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

GFINDer integrates gene function discovery from microarray data. This tool aids biological interpretation by identifying enriched functional categories and assessing annotation relevance for post-genomic research.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • High-throughput technologies like microarrays generate extensive gene lists.
  • Biological interpretation of these gene lists is crucial for understanding disease mechanisms.
  • Existing tools often lack methods for evaluating annotation relevance and functional bias.

Purpose of the Study:

  • To develop a system for biologically interpreting large gene lists from post-genomic experiments.
  • To provide methods for evaluating annotation relevance and functional bias in gene set analysis.
  • To aid researchers in understanding microarray experiment results through integrated functional discovery.

Main Methods:

  • Developed GFINDer (Genome Function INtegrated Discover), a Web-accessible, three-layer multidatabase system.
  • GFINDer automatically retrieves gene annotations from diverse sources.
  • The system identifies enriched functional categories within user-classified gene lists and calculates statistical significance.

Main Results:

  • GFINDer provides functional profiles for user-classified gene lists.
  • It identifies statistically significant enriched functional categories within gene classes.
  • The system enables functional gene classification based on user-defined criteria.

Conclusions:

  • GFINDer facilitates the biological interpretation of microarray data by integrating functional annotations.
  • The tool addresses the need for evaluating annotation relevance and functional bias.
  • GFINDer enhances the understanding of pathophysiological phenomena through improved gene function discovery.