Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

BACKGROUND: A large number of algorithms is being developed to reconstruct evolutionary models of individual tumours from genome sequencing data. Most methods can analyze multiple samples collected either through bulk multi-region sequencing experiments or the sequencing of individual cancer cells....

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Detalles Bibliográficos
Autores principales: Ramazzotti, Daniele, Graudenzi, Alex, De Sano, Luca, Antoniotti, Marco, Caravagna, Giulio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485126/
https://www.ncbi.nlm.nih.gov/pubmed/31023236
http://dx.doi.org/10.1186/s12859-019-2795-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485126/
https://www.ncbi.nlm.nih.gov/pubmed/31023236
http://dx.doi.org/10.1186/s12859-019-2795-4

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