LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution

LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution

Abstract Background Longitudinal single-cell sequencing experiments of patient-derived models are increasingly employed to investigate cancer evolution. In this context, robust computational methods are needed to properly exploit the mutational profiles of single cells generated via variant calling,...

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Bibliographic Details
Main Authors: Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Bioinformatics
Subjects:
Single cell
Longitudinal
Clonal analysis
Shiny
Interface
Online Access:https://doi.org/10.1186/s12859-023-05221-3

Internet

https://doi.org/10.1186/s12859-023-05221-3

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