This repository contains different use-cases higlighting Kipoi. Accompanying presentation can be found here. Check out the readme in each sub-folder for more information. Please follow the steps bellow to setup your environment:
- Install miniconda or anaconda.
- Make sure you have the following packages installed:
- conda:
conda install -y -c conda-forge jupyterlab
conda install -y nb_conda datrie
- pip:
pip install numpy pandas matplotlib seaborn snakemake kipoi>=0.6.0
- conda:
- Clone this repository:
git clone https://github.com/kipoi/examples.git && cd examples
Run:
kipoi ls
This will list all the models and checkout the model source to ~/.kipoi/models
.
kipoi env create shared/envs/kipoi-py3-keras2
Activate the environment
source activate kipoi-shared__envs__kipoi-py3-keras2
Test all the used models in the tutorials:
kipoi test Basset --source=kipoi
kipoi test DeepSEA/predict --source=kipoi
kipoi test DeepBind/Homo_sapiens/TF/D00328.018_ChIP-seq_CTCF/ --source=kipoi
Next step: 1-predict
- https://kipoi.org - website with pointers to the docs, white-paper and models.
- Workshop: MIA Workshop Broad institute 2018 - Accompanying slides for this tutorial.
- Gitter chat