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

Magda Markowska, Tomasz Cąkała, Błażej Miasojedow, Bogac Aybey, Dilafruz Juraeva, Johanna Mazur, Edith Ross, Eike Staub, Ewa Szczurek

2022Genome biology42 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

BiologyCopy-number variationBreakpointInferenceCopy number analysisComputational biologyComparative genomic hybridizationProbabilistic logicGenomeComputer scienceEvolutionary biologyGeneticsArtificial intelligenceGeneChromosomeCancer Genomics and DiagnosticsSingle-cell and spatial transcriptomicsGenetic factors in colorectal cancer
CONET: copy number event tree model of evolutionary tumor history for single-cell data | Litcius