Metadata-Version: 2.1
Name: DNBC4dev
Version: 2.3.4
Summary: DNBelab Series Single-Cell analysis workflow
Home-page: https://github.com/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software
Author: lishuangshuang3
Author-email: lishuangshuang3@mgi-tech.com
License: MIT
Platform: Linux
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: polars-lts-cpu (==0.20.2)
Requires-Dist: scanpy[leiden] (>=1.9.2)
Requires-Dist: pyranges
Requires-Dist: pyahocorasick (==2.0.0)
Requires-Dist: pysam
Requires-Dist: datatable (==0.11.1)
Requires-Dist: tarjan
Requires-Dist: pyarrow
Requires-Dist: scikit-misc
Requires-Dist: plotly

[![PyPI](https://img.shields.io/pypi/v/dnbc4tools)](https://pypi.org/project/DNBC4tools)
[![Docker Pulls](https://img.shields.io/docker/pulls/dnbelabc4/dnbc4tools)](https://hub.docker.com/r/dnbelabc4/dnbc4tools)

# DNBelab_C_Series_HT_singlecell-analysis-software

## Introduction

An open source and flexible pipeline to analyze high-throughput DNBelab C Series<sup>TM</sup> single-cell datasets. 

**Hardware/Software requirements** 

- x86-64 compatible processors.
- require at least 50GB of RAM and 4 CPU. 
- centos 7.x 64-bit operating system (Linux kernel 3.10.0, compatible with higher software and hardware configuration). 

## Start

- [**installation** ](./doc/installation.md)
- [**quick start** ](./doc/quickstart.md)

## Support

- Please use github issue tracker for questions. [**issues**](https://github.com/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software/issues)
- Note: *Updated the environment from version 2.1.0 to the new version 2.1.1 without requiring a reinstall, you only need to install the python package 'pyahocorasick' and update 'dnbc4tools'*.
- Note: *Upgrading to version 2.1.\* requires rebuilding the scRNA reference database. For more details, please refer to the quick start guide.*



