End-To-End RNA-Seq Analysis
Dseqr runs multi-sample single-cell and bulk RNA-seq analyses from counts → pathways → hits.
Dseqr runs multi-sample single-cell and bulk RNA-seq analyses from counts → pathways → hits.
Runs class-leading pseudobulk differential expression and abundance analyses.
Follows recommendations from the OSCA handbook so that you can focus on biology, not bioinformatics.
Start with automated filtering or DIY. Custom metrics and subsetting allow you to further refine your QC.
Transfer labels from previously annotated datasets or reference atlases.
Find genetic perturbations and drug treatments that have similar or opposing effects on gene expression as your comparisons.