RNA-seq Differential Expression
DESeq2-style workflows with QC summaries, filtered count matrices, normalized counts, DEG tables, PCA, heatmaps, volcano plots, and concise reports.
DESeq2-style workflows with QC summaries, filtered count matrices, normalized counts, DEG tables, PCA, heatmaps, volcano plots, and concise reports.
rMATS workflow notes, exon skipping and junction-level summaries, event filtering, and sashimi plot preparation for selected genes.
PCA, sample-distance heatmaps, DEG heatmaps, volcano plots, pathway plots, expression summaries, and clean figure exports for manuscript workflows.
GSEA and enrichment-oriented summaries that translate ranked gene lists or DEG sets into readable pathway-level research notes.
Also available: small Python/Bash helpers for repetitive lab data tasks.
Typical time: 2-3 days.
Best for teams that already have tables and need polished scientific figures.
Typical time: 5-7 days.
Best for a focused differential expression comparison with reusable outputs.
Time depends on scope.
Best for deeper review around events, genes, pathways, or selected biology.
Pricing depends on dataset size and scope. Send a brief to get a quote.
Clear outputs and a traceable analysis trail for each project.
Plots are made for manuscripts and reports, with clean labels and export formats.
Deliverables typically include tables, figures, scripts, and method notes you can reuse.
Inputs, contrasts, filtering choices, and output names are made explicit before delivery.
Clinical diagnosis, treatment decisions, and patient-specific interpretation remain out of scope.