Skip to main content

DNBelab Series Single-Cell analysis workflow

Project description

Github Release 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

[!TIP]

CHANGELOG: 2.1.3 pre-release

  1. Added single-cell immune repertoire analysis.
  2. Optimizing high memory usage when performing combined single-cell ATAC analysis
  3. Improved single-cell RNA sequencing I/O for high-thread scenarios, reducing analysis time.
  4. Added the function of checking whether the gtf format is correct and generating a new gtf file in the correct format.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DNBC4dev-2.1.2rc1.tar.gz (45.9 MB view hashes)

Uploaded Source

Built Distribution

DNBC4dev-2.1.2rc1-py3-none-any.whl (46.2 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page