Gango + BioFunctional: A computational tool for efficient functional gene analysis
Functional gene analysis is crucial for understanding gene roles in biological processes. However, analyzing data with multiple experimental groups presents significant challenges due to the complexity of data processing and the limitations of existing tools. GANGO + BioFuncional, an R-based Shiny...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tunç ÇATAL
2025-07-01
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| Series: | The European Chemistry and Biotechnology Journal |
| Subjects: | |
| Online Access: | https://euchembioj.com/index.php/pub/article/view/63 |
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| Summary: | Functional gene analysis is crucial for understanding gene roles in biological processes. However, analyzing data with multiple experimental groups presents significant challenges due to the complexity of data processing and the limitations of existing tools. GANGO + BioFuncional, an R-based Shiny application designed for end-users, addresses these challenges by providing a streamlined and comprehensive workflow for functional gene analysis. This interactive and freely available tool requires no installation, thus significantly enhancing its accessibility. The application is composed of two primary modules: GANGO, which efficiently processes input data and performs functional annotation to Gene Ontology (GO) terms and KEGG pathways; and BioFuncional, dedicated to in-depth analysis and interpretation. Key advantages include a highly user-friendly interface that eliminates the need for programming expertise, robust multi-group analytical capabilities, comprehensive visualization tools (interactive networks and significance-driven bar plots), and seamless compatibility with AI-driven interpretation tools like CURIE. Hosted on a server, GANGO + BioFuncional enhances the efficiency and accessibility of functional gene analysis, making it a valuable asset for both specialists and AI applications, ultimately facilitating deeper biological insights.
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| ISSN: | 3023-5839 |