DNBelab Series Single-Cell analysis workflow
Project description
DNBelab_C_Series_HT_scRNA-analysis-software
Introduction
An open source and flexible pipeline to analyze high-throughput DNBelab C SeriesTM single-cell RNA 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).
Workflow
Start
Support
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
DNBC4dev-2.1.1.tar.gz
(34.7 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
DNBC4dev-2.1.1-py3-none-any.whl
(35.6 MB
view details)
File details
Details for the file DNBC4dev-2.1.1.tar.gz.
File metadata
- Download URL: DNBC4dev-2.1.1.tar.gz
- Upload date:
- Size: 34.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9e1203b69e40a3879ee86df742034ebf211b80318a80804bfbe62bdc16707ac5
|
|
| MD5 |
db3426fceebd14b71bb3d34eccc3c2cf
|
|
| BLAKE2b-256 |
ad377f657d93386e8865f7f1e0a13fafbef923e6c2dc39b6fcd8bcb71c01571e
|
File details
Details for the file DNBC4dev-2.1.1-py3-none-any.whl.
File metadata
- Download URL: DNBC4dev-2.1.1-py3-none-any.whl
- Upload date:
- Size: 35.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d9729ea09ba33098f01c540a233ac984c86e60600a83649c5d95442b2f73baf
|
|
| MD5 |
c28ce790abb2b56b938cfbce9cc5d135
|
|
| BLAKE2b-256 |
992d818ccf3d2726f55434a599c4548e7391030a40db809479b2e3da1e5427c4
|
