Data Analysis Support
scRNA-seq analysis: clustering, high dimensional analysis, cell type identification, differential expression analysis, pseudotime inference, signature and pathway analysis
scDNA-seq analysis: mutation calling, copy number profile inference, clustering, phylogenetic analysis, annotation of cancer genes and pathways
Users will meet with the computational scientists at SCGC for a consultation to discuss plans for the analysis of their datasets.
Note: Customers are expected to provide a detailed outline of the design of their experiment. (e.g. treatments, replicates, comparisons), and the download information for the appropriate reference genome sequence and annotation data required for these analyses. For questions, please contact Nicholas Navin