DNBelab C Series™ HT Single-Cell Analysis Software

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

🖥️ System Requirements

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+

📚 Documentation

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.

🤝 Support and Community

Get Help

Questions, Bug Reports, or Feature Requests:
GitHub Issues

Contact Information

Website: www.mgitech.cn

🚀 What's New

What's New in v3.0

New Features & Improvements

RNA-Seq Enhancements

Annotation Logic: Optimized RNA annotation for improved accuracy
HTML Reports: Updated interactive reports with more informative metrics
Feature Matrices: Included gene_id and gene_name in the feature file
BAM Output: Added comprehensive metadata tags to BAM alignment file
Mixed Species: Enabled support for dual-species analysis

VDJ Analysis Upgrades

Assembly & Annotation: Improved algorithms for V(D)J assembly and annotation
Output Format: Standardized outputs for better compatibility with third-party tools

Performance & Usability

Storage Optimization: Automatic removal of intermediate files to save disk space
Directory Structure: Reorganized output directories and logs for better readability
Parallel Processing: Implemented multi-threading for faster execution

Note: This is the stable release version. Users on beta or Release Candidate (RC) versions should update to this stable release. If you wish to use version 2.1.3, please switch to the version2.0 branch.

Full Release History: Release Notes