MaREA4Galaxy
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Summary: | Metabolic Reaction Enrichment Analysis and visualization of RNA-seq data |
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