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 |
pip install ptm-pose
|
conda |
conda install -c naeglelab ptm-pose
conda install -c bioconda gseapy
|
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
|