Article Versions Notes

Massimino M, Tirrò E, Stella S, Tomarchio C, Di Bella S, Vitale SR, Conti C, Puglisi M, Di Crescenzo RM, Varricchio S, et al. An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma. Biomolecules. 2025; 15(1):146. https://doi.org/10.3390/biom15010146

Massimino, Michele, Elena Tirrò, Stefania Stella, Cristina Tomarchio, Sebastiano Di Bella, Silvia Rita Vitale, Chiara Conti, Marialuisa Puglisi, Rosa Maria Di Crescenzo, Silvia Varricchio, and et al. 2025. "An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma" Biomolecules 15, no. 1: 146. https://doi.org/10.3390/biom15010146

Massimino, M., Tirrò, E., Stella, S., Tomarchio, C., Di Bella, S., Vitale, S. R., Conti, C., Puglisi, M., Di Crescenzo, R. M., Varricchio, S., Merolla, F., Broggi, G., Martorana, F., Turdo, A., Gaggianesi, M., Manzella, L., Russo, A., Stassi, G., Caltabiano, R., ... Vigneri, P. (2025). An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma. Biomolecules, 15(1), 146. https://doi.org/10.3390/biom15010146