Applications of single-cell genomics and computational strategies to study common disease and population-level variation

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Figure 2.
Figure 2.

Overview of single-cell data analysis workflow. The typical workflow involves data preprocessing, combination of multiple single-cell data sets into a combined data set, clustering and cell type annotation, differential expression analysis, trajectory inference, and pseudotime analysis.

This Article

  1. Genome Res. 31: 1728-1741

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