Scalable and efficient single-cell DNA methylation sequencing by combinatorial indexing.
Ryan M. Mulqueen, Dmitry Pokholok, Steven J Norberg, Kristof A. Torkenczy, Andrew J. Fields, Duanchen Sun, John R. Sinnamon, Jay Shendure, Cole Trapnell, Brian J. O’Roak, Zheng Xia, Frank J. Steemers, Andrew Adey
The paper introduces sci-MET, a scalable single-cell DNA methylation sequencing method, achieving 69% read alignment rates and successfully deconvolving a mixture of three human cell lines.
Nature Biotechnology · Apr 9, 2018Peer-reviewedGenomics