Bioinformatics pipelines for the Resolwe platform
Project description
Bioinformatics pipelines for the Resolwe dataflow package for Django framework.
Docs & Help
Read about getting started and how to write processes in the documentation.
To chat with developers or ask for help, join us on Slack.
Install
Prerequisites
Make sure you have Python 3.6 installed on your system. If you don’t have it yet, follow these instructions.
Resolwe requires PostgreSQL (9.4+). Many Linux distributions already include the required version of PostgreSQL (e.g. Fedora 22+, Debian 8+, Ubuntu 15.04+) and you can simply install it via distribution’s package manager. Otherwise, follow these instructions.
Additionally, installing some (indirect) dependencies from PyPI will require having a C compiler (e.g. GCC) as well as Python development files installed on the system.
Note
The preferred way to install the C compiler and Python development files is to use your distribution’s packages, if they exist. For example, on a Fedora/RHEL-based system, that would mean installing gcc and python3-devel packages.
Using PyPI
pip install resolwe-bioTo install a pre-release, use:
pip install --pre resolwe-bioUsing source on GitHub
pip install --pre https://github.com/genialis/resolwe-bio/archive/<git-tree-ish>.tar.gzwhere <git-tree-ish> can represent any commit SHA, branch name, tag name, etc. in Resolwe Bioinformatics’ GitHub repository. For example, to install the latest Resolwe Bioinformatics from the master branch, use:
pip install --pre https://github.com/genialis/resolwe-bio/archive/master.tar.gzContribute
We welcome new contributors. To learn more, read Contributing section of the documentation.
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 Distributions
Built Distribution
File details
Details for the file resolwe_bio-52.0.0a1-py3-none-any.whl.
File metadata
- Download URL: resolwe_bio-52.0.0a1-py3-none-any.whl
- Upload date:
- Size: 554.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4311924f6d1ce3defb5119f90abc1d35678a2ad520ecfb70ca0ef47928a6b5c6 |
|
| MD5 | 8468c33c13eefea5226a9c91c2070f01 |
|
| BLAKE2b-256 | a04c8248ff9ec631c92a6f874958d6fe895963615fc7484fbb8671445fe1b4ab |
