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Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution

23 Jun 2022

Abstract excerpt

Single-cell sequencing provides a new way to explore the evolutionary history of cells. Compared to traditional bulk sequencing, where a population of heterogeneous cells is pooled to form a single observation, single-cell sequencing isolates and amplifies genetic material from individual cells, thereby preserving the information about the origin of the sequences. However, single-cell data are more error-prone...

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PMID: 35733333
DOI: 10.1093/molbev/msac143

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