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MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis.

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  • 1Department of Microbiology, University of Washington, Seattle, WA 98195, USA. vudu@u.washington.edu

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Summary
This summary is machine-generated.

MeV+R integrates JAVA MultiExperiment Viewer with R packages, offering graphical access to command-line bioinformatics tools for enhanced microarray data analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray data analysis often relies on command-line tools, posing a barrier for some researchers.
  • JAVA MultiExperiment Viewer (MeV) is a popular visualization tool for high-throughput data.
  • Bioconductor provides a rich collection of R packages for genomic data analysis.

Purpose of the Study:

  • To integrate the JAVA MultiExperiment Viewer (MeV) with Bioconductor's R packages.
  • To provide a user-friendly, graphical interface for complex R-based bioinformatics analyses.
  • To enhance accessibility of advanced microarray data analysis tools.

Main Methods:

  • Developed MeV+R, an integration of MeV and Bioconductor packages.
  • Leveraged R packages such as RAMA, BRIDGE, and iterativeBMA.
  • Designed MeV as a graphical user interface (GUI) for R functions.

Main Results:

  • Successfully integrated MeV with Bioconductor, enabling graphical access to R tools.
  • Demonstrated the utility of MeV+R for microarray data analysis.
  • Facilitated the use of command-line R packages through a point-and-click interface.

Conclusions:

  • MeV+R enhances the usability of Bioconductor packages for microarray analysis.
  • The integration provides a powerful and accessible platform for bioinformatics research.
  • MeV+R is extensible to other R packages, broadening its applicability.