MaREA4Galaxy

Comments

• Compute Reaction Activity Scores from gene expression (RNA-seq) dataset(s).
• analyze and visualize differences in the Reaction Activity Scores (RASs) of groups of samples, as computed by the Expression2RAS tool, of groups of samples.
• Cluster analysis of any dataset, according to most used algorithms: K-means, agglomerative clustering and DBSCAN (Density Based Spatial Clustering of Applications with Noise).

User Support

Quotas

• Can be used anonymously, or you can create and account.

Citations

• Damiani, C., Rovida, L., Maspero, D., Sala, I., Rosato, L., Di Filippo, M., Pescini, D., Graudenzi, A., Antoniotti, M., & Mauri, G. (2020). MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy. Computational and Structural Biotechnology Journal, 18, 993–999. https://doi.org/10.1016/j.csbj.2020.04.008
• Graudenzi, A., Maspero, D., Di Filippo, M., Gnugnoli, M., Isella, C., Mauri, G., ... & Damiani, C. (2018). Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. Journal of biomedical informatics, 87, 37-49. https://doi.org/10.1016/j.jbi.2018.09.010
• MaREA4Galaxy tagged publications in the Galaxy Publication library

Sponsors

• Universitá degli Studi di Milano-Bicocca, Milan, Italy