DNBelab Series Single-Cell analysis workflow
Project description
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
- Added single-cell immune repertoire analysis.
- Optimizing high memory usage when performing combined single-cell ATAC analysis
- Improved single-cell RNA sequencing I/O for high-thread scenarios, reducing analysis time.
- Added the function of checking whether the gtf format is correct and generating a new gtf file in the correct format.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
DNBC4tools-2.1.3rc1.tar.gz
(45.9 MB
view hashes)
Built Distribution
Close
Hashes for DNBC4tools-2.1.3rc1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f492a6c48ec2ad1dd8a6692c9b46c114ba424c6cd97f404420e3fb253e6ae47 |
|
MD5 | f364ae9fd006dba16c6fe628c867d31c |
|
BLAKE2b-256 | b3eef6d93fc839468a2147ddcad6dd0c7f92fb6659778dc9aabcdada0c8e2618 |