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Resolve cell populations, marker genes, and cellular heterogeneity.
Single-cell RNA-seq analysis examines gene expression at the level of individual cells. It identifies cell clusters, marker genes, cell states, and differences between conditions without losing rare populations in averaged data.
This service helps cancer biology, immunology, developmental biology, disease modeling, and cell-population studies understand cellular heterogeneity and treatment or disease-specific shifts.
You receive cell clustering visualizations, marker gene tables, cell-type annotation, differential expression between clusters or groups, pathway interpretation, and publication-ready figures. Each project is delivered within a maximum of one week. You receive a complete publication-ready scientific report including Materials and Methods, Results, Discussion, References, clear tables, high-quality figures when applicable, and full follow-up until publication, including support with reviewer comments and journal responses.