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The future of rapid and automated single-cell data analysis using reference mapping

Single-cell datasets are increasing in number and size. To leverage this rich resource, new workflows can reveal novel insights and discoveries. This perspective discusses the computational challenges and opportunities for single-cell reference-mapping algorithms that may eventually replace manual and laborious unsupervised clustering pipelines.

Nanobody-tethered transposition enables multifactorial chromatin profiling at single-cell resolution

Nature Biotechnology, Published online: 19 December 2022; doi:10.1038/s41587-022-01588-5

Cell surface protein expression and multiple epigenetic features are mapped simultaneously in single cells.
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