GPSeq-based centrality estimation.
Project description
gpseqc
A Python3 package that provides tools to estimate the 3D spatial nuclear centrality of genomic regions and compare different centrality rankings.
- Read the (public) documentation for more details.
- Read the (private) documentation for more details.
Once the repo goes public, private docs will be merged with public ones.
Installation
To install, run the following:
git clone http://github.com/ggirelli/gpseqc
cd gpseqc
sudo -H pip3 install .
To test your installation, run: pytest-3 --pyargs gpseqc
.
To uninstall run the following from within the repository folder:
sudo -H pip3 uninstall gpseqc
To update, first uninstall, and then run the following from within the repository folder.
git pull
sudo -H pip3 install .
Additional dependencies
Most of the required dependencies are automatically install by pip3
. Still, some require some manual steps. Specifically, gpseqc
requires the following packages:
tkinter
That on Ubuntu can be easily installed with:
sudo apt install python3-tk
Usage
Estimate centrality
The gpseqc_estimate
script allows to estimate regional nuclear centrality based on a multi-condition GPSeq experiment. Run gpseqc_estimate -h
for more details.
Compare centrality ranks
The gpseqc_compare
script allows to compare different regional centrality ranks. Run gpseqc_compare -h
for more details.
Contributing
We welcome any contributions to GPSeqC
. Please, refer to the contribution guidelines if this is your first time contributing! Also, check out our code of conduct.
License
MIT License
Copyright (c) 2017-18 Gabriele Girelli
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file gpseqc-2.3.6.tar.gz
.
File metadata
- Download URL: gpseqc-2.3.6.tar.gz
- Upload date:
- Size: 33.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/41.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.15+
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 85ceb53ed391eedc7905c77aee042a0df4555baa2d44b4b7677ade45e0fd700f |
|
MD5 | 0915594f6bcd73a205d6124d1661dbd1 |
|
BLAKE2b-256 | e95b18fa209745a8b41fd8cfbf0270038351501781539684e6488a2609291f4c |