epigen / atacseq_pipeline

Ultimate ATAC-seq Data Processing & Quantification Workflow. A Snakemake implementation of the BSF's ATAC-seq Data Processing Pipeline extended by downstream quantification and annotation steps using bash and Python.
https://epigen.github.io/atacseq_pipeline/
MIT License
43 stars 2 forks source link

is it necessary to copy this pipeline for each dataset? #43

Closed zhangzhen closed 2 months ago

zhangzhen commented 2 months ago

the stuff in resources and workflow folder is kept intact, but the stuff in config folder will be changed by users. is there is a better way to run a pipeline without copying it? if a pipeline uses conda envs, the envs are created in /.snakemake/conda/. does copying the pipeline mean these envs are re-created per run?

sreichl commented 2 months ago

Hi @zhangzhen,

If this pipeline is useful or interesting to you please consider starring and sharing modules, this helps others to find and benefit from the effort and me to prioritize my efforts! For more modules/pipelines check out MR.PARETO, my effort to augment research by modularizing (biomedical) data science.

I hope this helps! Feel free to close the issue if it's resolved.

Cheers, Stephan