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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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BIGO: A web application to analyse gene enrichment analysis results
Aurelio Lopez-Fernandez1, Domingo Rodriguez-Baena1, Francisco Gomez-Vela1
1Intelligent Data Analysis Group (DATAi), Pablo de Olavide University, Ctra. Utrera, km. 1, Seville, Spain.
Computational Biology and Chemistry
|July 21, 2018
Summary
Gene enrichment analysis is complex. The BIGO web tool simplifies interpreting gene set relationships with an intuitive interface and visual representations, improving biological data analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Gene enrichment analysis tools aid in understanding gene relationships with biological databases.
- Current tools often yield complex results, hindering interpretation for researchers.
- There is a need for user-friendly, accessible tools and improved methods for analyzing gene enrichment data.
Purpose of the Study:
- Introduce the BIGO web tool for gene enrichment analysis.
- Enhance the ease of interpreting gene set relationships and functional connections.
- Provide a user-friendly, visually intuitive platform for bioinformatics research.
Main Methods:
- Developed the BIGO web tool, a user-friendly platform for enrichment analyses.
- Implemented methods to combine and organize biological terms from enrichment results.
- Integrated graphical representations to visualize relationships between gene sets.
Main Results:
- BIGO facilitates focused analysis by allowing filtering of general biological terms.
- Visual analysis of functional connections between gene sets provides valuable insights.
- The tool aids in understanding complex gene enrichment outcomes.
Conclusions:
- BIGO is a novel web tool with a modern design.
- It significantly improves the analysis of gene enrichment results.
- Offers enhanced capabilities for biological data interpretation.
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