Installation#
Here, we have provided a quick start guide that will allow you to get up and running quickly and able to project PTMs on any splicing dataset you might have
Installation#
KSTAR can be installed via pip, tarball, and directly from the Git repository. We recommend using pip to install the most well-tested version of the package, but check our development branch on the GitHub repository to see some of the additional analyses/data we are adding to the package!
Install Method  | 
Code  | 
|---|---|
pip  | 
# with just the core package
pip install ptm-pose
# with optional dependencies for downstream analyses
pip install ptm-pose[full_analysis]
 | 
conda  | 
conda install conda-forge::ptm-pose
 | 
Github Release  | 
wget https://github.com/NaegleLab/PTM-POSE/archive/refs/tags/<version>.tar.gz
tar -xvf PTM-POSE-<version>.tar.gz
cd PTM-POSE-<version>
python setup.py install
 | 
Git Clone (for development version)  | 
git clone https://github.com/NaegleLab/PTM-POSE
cd PTM-POSE
git checkout dev
python setup.py install
 |