A library for dealing with omic-data in the life sciences
Project description
PyOmics - A library for dealing with omic-data in the life sciences
Info
Project has started in April 2017. So there are not a lot of things online right now.
The goal of the project is to build some nice functionality for many tasks with which scientists have to deal on a daily basis.
Feel free to make suggestions to the project and I’m looking forward to any contributions.
Installation
Simply use the Python package index to install PyOmics. This way is recommended since it provides full pip functionality (upgrade, uninstall).
$ pip install PyOmicsAlternatively, you can clone the repository and manually run setup.py. This will always give you the latest version of PyOmics, but might be unstable at some point.
$ git clone https://github.com/FloBay/PyOmics.git
$ cd <path_to>/PyOmics
$ python setup.py installRelease 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
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
File details
Details for the file PyOmics-0.0.1.dev5.tar.gz.
File metadata
- Download URL: PyOmics-0.0.1.dev5.tar.gz
- Upload date:
- Size: 6.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c7b7f91043782fb2d8e038d894bc90a7061308ccacd573560e101d0b973d56c2
|
|
| MD5 |
e4dd0001d3469e33ad66ddd08f9e7311
|
|
| BLAKE2b-256 |
a93f73ff06f790e043a71f6602c27afb4fd29f0558961148473458adf62e5b00
|
File details
Details for the file PyOmics-0.0.1.dev5-py3-none-any.whl.
File metadata
- Download URL: PyOmics-0.0.1.dev5-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4b0f3d6172ecd48d987beb0a662cccf64425a924290d978ad4e4fce8e8e3c732
|
|
| MD5 |
a6e44d5858cd46f05acdbe788b9f6987
|
|
| BLAKE2b-256 |
19d7463c1d53df2716ef0e666b0bc7980d69590656f4303a0652cd2a9eef7211
|
