We offer pre-processing of data from 10x Genomics Chromium gene expression assays. We use cellranger count to map the reads to the reference genome and count the number of reads overlapping with each gene to produce a count matrix for each sample. After that, we perform downstream analyses with the R packages Seurat and others, resulting in quality control, transformation, clustering, differential gene expression, automatic cell-type annotation and visualizations.