Detect Intercellular DNA Transfer at Single-Cell Resolution
Research-grade computational platform for single-cell transcriptomics. Multi-modal detection via GMD, SCA, ETS, and ASTD engines with statistical BH FDR control.
The Blindspot of Traditional Tools
Scanpy, Seurat, and Monocle strictly assume hierarchical tree-like clonal evolution, rendering them blind to horizontal intercellular DNA transfer.
Horizontal Transfer Graph Topology
Combines sex-chromosomal baselines, spatial micro-clustering, circular ecDNA similarity, and allele balance to pinpoint horizontal transfer vector events.
- Detects 2-5 cell spatial micro-clusters via Moran’s I.
- Enforces strict BH FDR <0.05 multi-engine agreement.
Four Independent Detection Algorithms
Multi-method convergence guarantees high precision (>95%) while eliminating false positive calls on clonal populations.
Genomic Mosaicism Detector (GMD)
Sex-chromosome aware regional expression scoring with permutation null models.
Quantifies XIST vs non-PAR Y-chromosome baseline ratios per single-cell lineage.
Constructs empirical null distributions over 1,000 label shuffles for robust p-values.
Benjamini-Hochberg procedure controls false discovery rate below 5%.
Validated for Pharma R&D and FDA CAR-T Safety
Benchmarked against gold-standard synthetic male/female co-cultures, spatial glioblastoma tumor datasets, and CAR-T infusion products.
FDA CAR-T Manufacturing Safety
Provides cell therapy manufacturers with an automated QC metric to ensure zero off-target DNA transfer occurs between host immune cells and engineered CAR-T infusion products.
Oncology ecDNA Resistance Spreading
Quantifies horizontal extrachromosomal DNA amplicon transfer in solid tumors, enabling drug discovery teams to block ecDNA-mediated chemo-resistance acquisition.
Live Single-Cell Analysis Playground
Upload your AnnData .h5ad file or select a preset 1-click sample dataset below to start live multi-modal detection.
Drag and drop your single-cell .h5ad dataset
Supports AnnData formatted scRNA-seq and Spatial Transcriptomics datasets up to 100k cells
Built for Open-Source Labs & Biopharma R&D
From local Python CLI pipelines to FDA-grade CAR-T manufacturing safety metrics.
Open Source
For academic researchers running local single-cell Python pipelines.
- Core 4-Modality Engine (GMD, SCA, ETS, ASTD)
- Local Python Execution (`pip install nanotransfer`)
- Benjamini-Hochberg FDR Statistical Validation
- Standard AnnData (.h5ad) Input Support
- Community GitHub Discussions & Issues
Academic Pro
For research labs needing accelerated cloud compute & interactive spatial web maps.
- Everything in Open Source
- Cloud Analysis (Up to 50k cells per sample)
- Interactive WebGL Spatial Tissue Viewer
- Publication-Grade Vector PDF & SVG Report Exporter
- Priority GPU Analysis Queue (<3 min runtime)
- 10 GB Cloud Dataset Workspace Storage
Enterprise Pharma SaaS
For biopharma oncology R&D and cell therapy manufacturing QC teams.
- Everything in Academic Pro
- Unlimited Single-Cell Scaling (>100k cells)
- FDA CAR-T Cell Manufacturing QC Compliance
- On-Premises / Private VPC Cloud Deployment
- Dedicated HIPAA / SOC2 Audit Logging
- 24/7 SLA Support & Custom Algorithm Fine-Tuning
- SAML SSO & Role-Based Access Control (RBAC)
Enterprise SaaS Feature Comparison
| Capabilities | Open Source | Academic Pro | Enterprise SaaS |
|---|---|---|---|
| GMD, SCA, ETS, ASTD Engines | Yes | Yes | Yes |
| Cell Throughput Capacity | Local Hardware | 50k cells/sample | Unlimited (>100k) |
| FDA CAR-T QC Safety Metrics | Manual | Standard | Full Compliance |
| Interactive WebGL Spatial Viewer | N/A | Yes | Yes |
| Private VPC / On-Prem Deployment | N/A | N/A | Included |
| HIPAA & SOC2 Audit Logs | N/A | N/A | Included |