A repository to host extended examples and tutorials.
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1-predict
2-score_variants
3-interpret
4-add-new-models
5-appendix
.gitignore
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README.md

README.md

kipoi/examples

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:

Setup

  • 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
  • Clone this repository: git clone https://github.com/kipoi/examples.git && cd examples

Verify Kipoi

Run:

  • kipoi ls

This will list all the models and checkout the model source to ~/.kipoi/models.

Install the common environment

  • kipoi env create shared/envs/kipoi-py3-keras2

Test the locally installed models

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

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