scmap: projection of single-cell RNA-seq data across data sets
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Updated: Feb 12, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Vladimir Yu Kiselev1, Andrew Yiu1, Martin Hemberg1
1Wellcome Sanger Institute, Hinxton, UK.
Abstract:
Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of unsupervised clustering of the transcriptome. However, differences in experimental methods and computational analyses make it challenging to compare data across experiments. Here we present scmap (http://bioconductor.org/packages/scmap; web version at http://www.sanger.ac.uk/science/tools/scmap), a method for projecting cells from an scRNA-seq data set onto cell types or individual cells from other experiments.
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