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Gene Expression Analysis Platform (GEAP): A highly customizable, fast, versatile and ready-to-use microarray analysis

Itamar José Guimarães Nunes1, Mariana Recamonde-Mendoza1,2, Bruno César Feltes1,3,4

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Gene Expression Analysis Platform (GEAP) simplifies complex microarray data analysis for all users. This software offers advanced features in a user-friendly interface, making sophisticated analysis accessible beyond programming experts.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Advanced microarray data analysis is often limited to users with programming expertise.
  • Existing software may lack comprehensive features or user-friendliness for diverse analytical needs.

Purpose of the Study:

  • To introduce the Gene Expression Analysis Platform (GEAP), a versatile software for microarray analysis.
  • To provide a user-friendly yet powerful tool for both advanced and non-programming users.

Main Methods:

  • GEAP utilizes C# for its graphical user interface and R for data processing and statistical analysis.
  • Features an automated system for file format identification, content retrieval, and dependency management.
  • Incorporates 32 statistical options, quality assessment, differential expression analysis, and gene ontology support.

Main Results:

  • GEAP handles diverse microarray datasets independently of their platform origin.
  • Offers efficient data storage and retrieval with performance exceeding R.
  • Provides interactive exploration of results through various plots and filtering options.

Conclusions:

  • GEAP offers a faster, more straightforward, and accessible approach to microarray data analysis.
  • The software combines flexibility for sophisticated procedures with ease of use for non-programmers.
  • GEAP addresses current limitations in microarray analysis software, enhancing accessibility and efficiency.