Computes epigenetic age from DNA methylation arrays using PyAging clocks on GEO accessions or local files, generating predictions, figures, and reports.
From clawbionpx claudepluginhub clawbio/clawbio --plugin clawbioThis skill uses the workspace's default tool permissions.
data/PROVENANCE.mdmethylation_clock.pytests/test_methylation_clock.pyProvides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.
Calculates TAM/SAM/SOM using top-down, bottom-up, and value theory methodologies for market sizing, revenue estimation, and startup validation.
Epigenetic age workflows are difficult to reproduce because preprocessing and clock inputs differ across tools and publications. This skill standardizes a PyAging-first pipeline from ingestion to report generation, with explicit reproducibility outputs.
--geo-id) or local methylation file (--input).--geo-id (example: GSE139307)--input (.pkl, .pickle, .csv, .tsv, .csv.gz, .tsv.gz)--output--clocksDemo fixture provenance and checksum are documented in skills/methylation-clock/data/PROVENANCE.md.
Install optional methylation-clock dependency (not part of the global base requirements):
pip install pyaging>=0.1
# Demo
python skills/methylation-clock/methylation_clock.py \
--input skills/methylation-clock/data/GSE139307_small.csv.gz \
--output /tmp/methylation_clock_demo
# GEO input
python skills/methylation-clock/methylation_clock.py \
--geo-id GSE139307 \
--output /tmp/methylation_clock_geo
# Local methylation file
python skills/methylation-clock/methylation_clock.py \
--input my_methylation.pkl \
--clocks Horvath2013,AltumAge,PCGrimAge,GrimAge2,DunedinPACE \
--output /tmp/methylation_clock_local
methylation_clock_report/
โโโ report.md
โโโ figures/
โ โโโ clock_distributions.png
โ โโโ clock_correlation.png
โโโ tables/
โ โโโ predictions.csv
โ โโโ prediction_summary.csv
โ โโโ missing_features.csv
โ โโโ clock_metadata.json
โโโ reproducibility/
โโโ commands.sh
โโโ environment.yml
โโโ checksums.sha256
skills/methylation-clock/methylation_clock.py.rnaseq-de for transcriptomic-aging contrasts and equity-scorer for cohort context.