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DNBelab Series Single-Cell analysis workflow

Project description

PyPI Docker Pulls

DNBelab_C_Series_HT_singlecell-analysis-software

Introduction

An open source and flexible pipeline to analyze high-throughput DNBelab C SeriesTM 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

Support

  • Please use github issue tracker for questions. 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.

Project details


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DNBC4tools-2.1.2.tar.gz (42.4 MB view hashes)

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DNBC4tools-2.1.2-py3-none-any.whl (42.6 MB view hashes)

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