chromatin-accessibility-deviation-computation
byholobiomicslab· 58 skills
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Use when when you have filtered ATAC-seq or DNAse-seq peak counts (after GC bias correction, sample filtering, and peak filtering) and wish to measure how strongly each annotation (motif or kmer) influences chromatin accessibility variability in each sample relative to a background expectation.
How to install chromatin-accessibility-deviation-computation?
holobiomicslab/asb-skill-collections/chromatin-accessibility-deviation-computation
$npx -y skills add holobiomicslab/asb-skill-collections --skill chromatin-accessibility-deviation-computationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/holobiomicslab/asb-skill-collections" --skill "holobiomicslab/asb-skill-collections/chromatin-accessibility-deviation-computation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/holobiomicslab/asb-skill-collections" that are relevant to the current task. Run `npx skills add "https://github.com/holobiomicslab/asb-skill-collections"` and select the relevant skills, then follow their instructions.
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