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

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, in orde...

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Detalles Bibliográficos
Autores principales: Ascolani, Gianluca, Angaroni, Fabrizio, Maspero, Davide, Craighero, Francesco, Bhavesh, Narra Lakshmi Sai, Piazza, Rocco, Damiani, Chiara, Ramazzotti, Daniele, Antoniotti, Marco, Graudenzi, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022199/
https://www.ncbi.nlm.nih.gov/pubmed/36932333
http://dx.doi.org/10.1186/s12859-023-05221-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022199/
https://www.ncbi.nlm.nih.gov/pubmed/36932333
http://dx.doi.org/10.1186/s12859-023-05221-3

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