Research use cases

See how teams use
NuHelix AI

Real analysis scenarios across oncology, immunology, genomics, and more — each backed by validated workflows and reproducible outputs.

9 cases
Oncology

Identifying tumor-specific gene signatures in colorectal cancer

RNA-seqDESeq2
  • 847 DEGs found
  • Adjusted p < 0.001
  • 12 tumor-specific signatures
Immunology

Single-cell immune profiling of COVID-19 patient cohorts

scRNA-seqSeurat
  • 12 cell clusters identified
  • 3 novel cell subtypes
  • 48,000 cells profiled
Drug Discovery

Pathway disruption analysis in drug-treated hepatocytes

RNA-seqGSEA
  • 34 pathways enriched
  • FDR < 0.05
  • 6 candidate targets
Oncology

Variant burden analysis across diverse cancer genomes

WGSGATKbcftools
  • 1.2M variants annotated
  • 42 cancer samples
  • 18 driver mutations
Neuroscience

Clustering and trajectory analysis of neural progenitor cells

scRNA-seqMonocle3
  • 8 developmental states
  • 24,000 cells
  • 3 trajectory branches
Agricultural

Comparative transcriptomics across 5 plant stress conditions

RNA-seqDESeq2
  • 2,400 DEGs identified
  • 5 stress conditions
  • Cross-condition clustering
Epigenetics

ChIP-seq peak calling and motif enrichment in PBMC samples

ChIP-seqMACS2
  • 12,000 peaks called
  • 8 transcription factor motifs
  • H3K27ac profiling
Genomics

Germline variant discovery in a family trio with rare disease

WESGATKDeepVariant
  • 3 candidate variants
  • 94% capture efficiency
  • Trio joint calling
Drug Discovery

GSEA-based drug repurposing candidate identification

RNA-seqGSEAEnrichr
  • 7 repurposing candidates
  • FDR < 0.05
  • 3 validated pathways
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