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CONET: copy number event tree model of evolutionary tumor history for single-cell data

Copy number alterations constitute important phenomena in tumor evolution. Whole genome single-cell sequencing gives insight into copy number profiles of individual cells, but is highly noisy. Here, we propose CONET, a probabilistic model for joint inference of the evolutionary tree on copy number e...

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Detalles Bibliográficos
Autores principales: Markowska, Magda, Cąkała, Tomasz, Miasojedow, BłaŻej, Aybey, Bogac, Juraeva, Dilafruz, Mazur, Johanna, Ross, Edith, Staub, Eike, Szczurek, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185904/
https://www.ncbi.nlm.nih.gov/pubmed/35681161
http://dx.doi.org/10.1186/s13059-022-02693-z
Descripción
Sumario:Copy number alterations constitute important phenomena in tumor evolution. Whole genome single-cell sequencing gives insight into copy number profiles of individual cells, but is highly noisy. Here, we propose CONET, a probabilistic model for joint inference of the evolutionary tree on copy number events and copy number calling. CONET employs an efficient, regularized MCMC procedure to search the space of possible model structures and parameters. We introduce a range of model priors and penalties for efficient regularization. CONET reveals copy number evolution in two breast cancer samples, and outperforms other methods in tree reconstruction, breakpoint identification and copy number calling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02693-z).