Single cell RNA-seq

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.

 

  • Run summary metrics and charts in HTML format
  • HTML report of quality control, filtering and normalization
  • HTML reports of integration, clustering, differential gene expression analysis, gene ontology and pathway enrichment analysis, and automatic cell-type annoation
  • Interactive Shiny app for exploring your results
  • Filtered and/or unfiltered feature-barcode matrices in MEX format (optional)
  • Read alignment file in bam format and associated index (optional)
  • Loupe Cell Browser visualization and analysis file (optional)
  • Intermediate results for your own analysis (optional)

 

Note that we also offer more extensive downstream analyses (e.g. trajectory analysis) in the form of collaborations. Please contact us for more details.
HTML reports from an example analysis can be downloaded below.

Downloads

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