Skip to content

tjanez/resolwe-bio

 
 

Repository files navigation

Resolwe Bioinformatics

Build Status Coverage Status Documentation Status Version on PyPI Supported Python versions

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 (3.4 or 3.5) 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-bio

To install a pre-release, use:

pip install --pre resolwe-bio

Using source on GitHub

pip install --pre https://github.com/genialis/resolwe-bio/archive/<git-tree-ish>.tar.gz

where <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.gz

Contribute

We welcome new contributors. To learn more, read Contributing section of the documentation.

About

Bioinformatics pipelines for Resolwe

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 53.1%
  • Python 43.0%
  • Shell 2.0%
  • R 1.2%
  • TeX 0.7%