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Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis

Abstract: Nowadays, single-cell DNA (sc-DNA) sequencing is showing up to be a valuable instrument to investigate intra and inter-tumor heterogeneity and infer its evolutionary dynamics, by using the high-resolution data it produces. That is why the demand for analytical tools to manage this kind of data is increasing. Here we propose a pipeline capable of producing multi-sample copy-number variation (CNV) analysis on large-scale single-cell DNA sequencing data and investigate spatial and temporal tumor heterogeneity.


Citation:

Marilisa, Montemurro; Grassi, Elena; Urgese, Gianvito; Emanuele, Parisi; Gabriele Pizzino, Carmelo; Bertotti, Andrea; Ficarra, Elisa "Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis" Titolo volume non avvalorato, Bergamo, 4-6 September 2019, 2019

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