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ATACofthesnake

Downstream processing of ATAC data, including QC, differential accessibility -, LRT - and timecourse analyses. Optional downstream motif analyses included. Starting point are deduplicated BAM and/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 the case, you can run the workflow multiple times. Fasta headers are not allowed to contain a pipe character '|' (as peaks will be delimited as such later on).

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

Bare minimum needed input:

  • 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.

Metadata

Release files for ATACofthesnake 0.14.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for ATACofthesnake 0.14.1
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Table of built distributions (wheels) for ATACofthesnake 0.14.1
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atacofthesnake-0.14.1-py3-none-any.whl Python 3 none any Details

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