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FGDP: functional genomics data pipeline for automated, multiple microarray data analyses.

Jeffrey D Grant1, Luke A Somers, Yue Zhang

  • 1Bioinformatics, Department of Information Science and Technology, Division of Basic Science, Fox Chase Cancer Center, 7701 Burholme Avenue, Philadelphia, PA 19111, USA.

Bioinformatics (Oxford, England)
|January 22, 2004
PubMed
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This study introduces a functional genomics data pipeline for analyzing gene expression data from microarrays and GeneChips. The pipeline offers integrated, simultaneous analyses and a web interface for presenting results, aiding researchers in exploring complex genomic information.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Gene expression microarrays and oligonucleotide GeneChips enable genome-wide expression profiling.
  • The analysis of this high-throughput data is complex and rapidly evolving.
  • Researchers need accessible tools to interpret diverse genomic datasets.

Purpose of the Study:

  • To develop an integrated analysis environment for functional genomics data.
  • To provide a platform for performing multiple, simultaneous data analyses.
  • To offer a web-based interface for presenting and exploring analysis results.

Main Methods:

  • Development of a functional genomics data pipeline.
  • Integration of multiple analysis tools within a single environment.

Related Experiment Videos

  • Implementation of a web server for results visualization.

    • Main Results:

    • The pipeline allows for automated, simultaneous analysis of genomic data.
    • It provides an extendable environment for incorporating new analytical methods.
    • Results are accessible through an intuitive web interface.

    Conclusions:

    • The functional genomics data pipeline simplifies complex gene expression data analysis.
    • It empowers researchers to explore genomic data more effectively.
    • The integrated approach facilitates deeper biological insights from high-throughput experiments.