ATACofthesnake
Project description
ATACofthesnake
Downstream processing of ATAC data, including QC's and differential accessibility. Starting point are deduplicated bam or cram files.
Important
All samples in a 'run' have to belong to the same group. That means that out of all peaks/sample, a union will be made. In case this is not relevant, you can run the workflow multiple times. Fasta headers un field 0 (space delimited) are not allowed to contain a pipe character '|' (as peaks will be delimited as such).
Installation
From pypi:
pip install ATACofthesnake
or with uv:
uv pip install ATACofthesnake
From github:
git clone git@github.com:maxplanck-ie/ATACofthesnake.git
pixi run ATAC -h
Quickstart
ATAC -h
Needed input files/directories:
- directory with deduplicated bam and/or cram files.
- genome fasta file
- genome annotation file (GTF format)
- read attracting regions (BED format), this is necessary and needs to contain at least the full mitochondrial chromosome.
For more details and how-to on requesting specific differential analysis and comparisons, please refer to the documentation.
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