Genotyping tumor clones from single-cell data

A new statistical approach mitigates technical errors in single-cell DNA sequencing data to advance the study of tumor evolution and diversity.

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Figure 1: Technical errors can lead to incorrect results for clonal genotypes and lineages.


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This work was supported by the Eric & Liz Lefkofsky Family Foundation, NCI (1R01CA169244-01 to N.E.N., R01CA172652 to K.C.) and the American Cancer Society (129098-RSG-16-092-01-TBG to N.E.N.). N.E.N. and K.C. are Andrew Sabin Family Fellows. The study was supported by the MD Anderson Cancer Moonshot Knowledge Gap Award and the Center for Genetics & Genomics.

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Correspondence to Nicholas E Navin.

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Navin, N., Chen, K. Genotyping tumor clones from single-cell data. Nat Methods 13, 555–556 (2016) doi:10.1038/nmeth.3903

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