In order to help cancer researchers in understanding tumor heterogeneity and its evolutionary dynamics, we propose a software pipeline to explore intra-tumor heterogeneity by means of scDNA sequencing data.
Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis / Montemurro, Marilisa; Grassi, Elena; Urgese, Gianvito; Gabriele Pizzino, Carmelo; Bertotti, Andrea; Ficarra, Elisa. - (2019). (Intervento presentato al convegno ACM Celebration of Women in Computing: womENcourage 2019 tenutosi a Roma nel 16-18 September 2019).
Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis
Elisa Ficarra
2019
Abstract
In order to help cancer researchers in understanding tumor heterogeneity and its evolutionary dynamics, we propose a software pipeline to explore intra-tumor heterogeneity by means of scDNA sequencing data.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
