2015 | Ioannis S. Vlachos, Konstantinos Zagkanas, Maria D. Paraskevopoulou, Georgios Georgakilas, Dimitra Karagkouni, Thanasis Vergoulis, Theodore Dalamagas and Artemis G. Hatzigeorgiou
DIANA-miRPath v3.0 is an online tool for analyzing the regulatory roles of microRNAs (miRNAs) and identifying controlled pathways. It uses experimental data to enhance the accuracy of miRNA function annotation. The tool integrates over 600,000 experimentally supported miRNA targets from DIANA-TarBase v7.0, allowing users to combine in silico predictions with high-quality experimental interactions. It supports KEGG pathways and multiple Gene Ontology (GO) categories across seven species. A redesigned Reverse Search module enables users to identify miRNAs controlling specific pathways or belonging to certain GO categories. The tool also provides advanced visualization options and supports unbiased statistical methods, including empirical distributions and meta-analysis. DIANA-miRPath v3.0 is freely available without login requirements. It offers a user-friendly interface with extensive parameterization options, enabling detailed functional analysis of miRNAs. The tool is designed to assist in miRNA research by integrating with other DIANA tools and providing access to various databases and resources. It supports SNP analysis, clustering algorithms, and advanced visualizations, making it a comprehensive resource for miRNA research. The new version addresses limitations of previous tools by incorporating unbiased statistics and enhancing the ability to analyze combined miRNA effects. It is an essential resource for researchers seeking to understand miRNA functions in biological processes and disease mechanisms.DIANA-miRPath v3.0 is an online tool for analyzing the regulatory roles of microRNAs (miRNAs) and identifying controlled pathways. It uses experimental data to enhance the accuracy of miRNA function annotation. The tool integrates over 600,000 experimentally supported miRNA targets from DIANA-TarBase v7.0, allowing users to combine in silico predictions with high-quality experimental interactions. It supports KEGG pathways and multiple Gene Ontology (GO) categories across seven species. A redesigned Reverse Search module enables users to identify miRNAs controlling specific pathways or belonging to certain GO categories. The tool also provides advanced visualization options and supports unbiased statistical methods, including empirical distributions and meta-analysis. DIANA-miRPath v3.0 is freely available without login requirements. It offers a user-friendly interface with extensive parameterization options, enabling detailed functional analysis of miRNAs. The tool is designed to assist in miRNA research by integrating with other DIANA tools and providing access to various databases and resources. It supports SNP analysis, clustering algorithms, and advanced visualizations, making it a comprehensive resource for miRNA research. The new version addresses limitations of previous tools by incorporating unbiased statistics and enhancing the ability to analyze combined miRNA effects. It is an essential resource for researchers seeking to understand miRNA functions in biological processes and disease mechanisms.