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ArrayQuest: a web resource for the analysis of DNA microarray data.

Gary L Argraves1, Saurin Jani, Jeremy L Barth

  • 1Array Genetics, Inc,, 59 Great Quarter Road, Newtown, CT 06482, USA. argraves@musc.edu

BMC Bioinformatics
|December 3, 2005
PubMed
Summary
This summary is machine-generated.

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ArrayQuest offers a web-based DNA microarray analysis controller, enhancing the utility of open-source bioinformatics tools. This platform facilitates the execution and integration of diverse analysis programs for researchers.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Open-source software development has produced numerous microarray analysis programs.
  • Web-based interfaces significantly increase the applicability and utility of these analytic software tools.

Purpose of the Study:

  • To present ArrayQuest, a web-based controller for DNA microarray analysis.
  • To enhance the accessibility and integration of various bioinformatics analysis programs.

Main Methods:

  • ArrayQuest executes analysis programs written in R, BioPerl, and C++.
  • New analysis programs can be added to the ArrayQuest Methods Library.
  • DNA microarray data can be sourced from public databases (MUSC, GEO) or uploaded securely.
  • Analysis jobs are distributed across a backend cluster for efficient processing.

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Main Results:

  • ArrayQuest provides a browser-based interface for DNA microarray data analysis on a Linux platform.
  • The platform supports numerous analysis programs and allows for the addition of new algorithms.
  • Data can be accessed from public repositories or uploaded privately.
  • Affymetrix DNA microarray data analysis methods have been integrated into the library.

Conclusions:

  • ArrayQuest facilitates the browser-based execution of DNA microarray analysis programs.
  • It serves as a valuable platform for distributing and implementing new analysis algorithms.
  • ArrayQuest is beneficial for both developers and users of bioinformatics applications.