The official pipeline for flexible and high-performance analysis of DNBelab C Series™ single-cell data.
The command-line tool for this pipeline is named dnbc4tools.
🧬 scRNA-seq | 🧪 scATAC-seq | 🦠 scVDJ-seq
📚 Documentation: User Guide
| Hardware | Specification | Recommendation |
| Processor | x86-64 compatible | Multi-core server CPU |
| Memory | 50GB RAM minimum | 128GB+ recommended |
| CPU Cores | 8 cores minimum | 16+ cores |
| Storage | SSD recommended | High-speed SSD |
| OS | Linux 64-bit | Ubuntu 20.04+ / CentOS 7+ |
| Guide | Purpose |
|---|---|
| Installation | Set up dnbc4tools on your system. |
| Quick Start | Run your first analysis with sample data. |
| Pipeline Guides | In-depth workflow documentation for: scRNA-seq | scATAC-seq | scVDJ-seq |
| Parameters | Command reference and parameter settings for: scRNA-seq | scATAC-seq | scVDJ-seq |
| Outputs | Guides to understanding your results for: scRNA-seq | scATAC-seq | scVDJ-seq |
| Analysis | Analyze results in R and Python. |
| Demo Datasets | Access sample datasets for testing. |
Questions, Bug Reports, or Feature Requests:
GitHub Issues
gene_id and gene_name to feature matricesNote: This is a feature-complete beta release. It is intended for testing and feedback. For production use, please use the latest stable version.
Full Release History: Release Notes