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Marcin Tabaka and Aviv Regev (Broad Institute of MIT and Harvard, Cambridge, US)
We have developed an interactive tool for visualization and exploratory analysis of massive single-cell omics data. Users can visualize hundreds of millions of cells on a low-memory machine, show density of cells or gene expression values on a 2D embedding, plot gene expression profiles for selected groups of cells, visualize and annotate clusters of cells.