ENCODE-DCC/chip-seq-pipeline2: v2.0.0
Authors/Creators
- 1. Stanford University
- 2. Truwl
- 3. The University of Chicago
Description
Upgrade Caper to the latest >=2.0.0. Old versions of Caper won't work correctly on HPCs.
$ pip install caper --upgrade
$ caper -v # check if >=2.0.0
Conda users must re-install pipeline's Conda environments. YOU DO NOT NEED TO ACTIVATE CONDA ENVIRONMENT BEFORE RUNNING A PIPELINE. New Caper internally runs each task inside an installed Conda environment.
$ bash scripts/uninstall_conda_env.sh
$ bash scripts/install_conda_env.sh
HPC USERS MUST SPECIFY AN ENVIRONMENT TO RUN A PIPELINE ON. Choices are --conda, --singularity and --docker. This pipeline defaults to run with --docker so it will not work on HPCs without caper run ... --conda or caper run ... --singularity. It's recommended to use Singularity if your cluster supports it.
Please read new Caper (>=2.0.0)'s README carefully. There are very important updates on Caper's side for better HPC (Conda/Singularity/SLURM/...) support.
Files
ENCODE-DCC/chip-seq-pipeline2-v2.0.0.zip
Files
(1.6 MB)
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md5:68a293f10c0395efd08ec21a9f144d6c
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Additional details
Related works
- Is supplement to
- https://github.com/ENCODE-DCC/chip-seq-pipeline2/tree/v2.0.0 (URL)