background-peak-selection-normalization
byholobiomicslab· 58 skills
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Use when after computing expected accessibility from filtered peak and sample counts, and before computing final deviation scores. Use this skill when working with sparse ATAC-seq or DNase-seq data where GC bias and accessibility depth are known confounders of motif-associated variability.
How to install background-peak-selection-normalization?
holobiomicslab/asb-skill-collections/background-peak-selection-normalization
$npx -y skills add holobiomicslab/asb-skill-collections --skill background-peak-selection-normalizationInstalls 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/background-peak-selection-normalization"` 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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