Metadata-Version: 2.1
Name: celescope
Version: 1.7.1
Summary: Single Cell Analysis Pipelines
Home-page: https://github.com/singleron-RD/CeleScope
Author: zhouyiqi
Author-email: zhouyiqi@singleronbio.com
License: UNKNOWN
Description: 
        # CeleScope
        CeleScope is a collection of bioinfomatics analysis pipelines developed at Singleron to process single cell sequencing data generated with Singleron products. These pipelines take paired-end FASTQ files as input and generate output files which can be used for downstream data analysis as well as a summary of QC criteria.
        
        Detailed docs can be found in [manual](./docs/manual.md).
        
        ## Hardware/Software Requirements
        
        - minimum 32GB RAM(to run STAR aligner)
        - conda
        - git
        
        ## Installation
        
        1. Clone repo
        ```
        git clone https://github.com/singleron-RD/CeleScope.git
        ```
        
        2. Create conda environment and install conda packages
        ```
        cd CeleScope
        conda create -n celescope -y --file conda_pkgs.txt
        ```
        
        Alternatively, you can use [mamba](https://github.com/mamba-org/mamba) to improve speed.
        ```
        conda install mamba
        mamba create -n celescope -y --file conda_pkgs.txt
        ```
        
        3. Install celescope
        
        Make sure you have activated the `celescope` conda environment before running `pip install celescope`. 
        ```
        conda activate celescope
        pip install celescope
        ```
        
        ## [Quick start](./docs/quick_start.md)
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
