From clawbio
Computes epigenetic age from DNA methylation arrays using PyAging clocks, supporting GEO accessions or local files. Outputs predictions, diagnostics, figures, and reproducibility artifacts.
How this skill is triggered — by the user, by Claude, or both
Slash command
/clawbio:methylation-clockThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Epigenetic age workflows are difficult to reproduce because preprocessing and clock inputs differ across tools and publications.
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/
├── report.md
├── figures/
│ ├── clock_distributions.png
│ └── clock_correlation.png
├── tables/
│ ├── predictions.csv
│ ├── prediction_summary.csv
│ ├── missing_features.csv
│ └── clock_metadata.json
└── reproducibility/
├── commands.sh
├── environment.yml
└── checksums.sha256
skills/methylation-clock/methylation_clock.py.rnaseq-de for transcriptomic-aging contrasts and equity-scorer for cohort context.npx claudepluginhub clawbio/clawbio --plugin clawbioComputes organ-specific biological age from Olink NPX proteomic data using published elastic net models. Produces a structured report with figures.
Analyzes genomics and epigenomics data: DNA methylation (CpG, bisulfite, RRBS), m6A RNA modification (MeRIP-seq), ChIP-seq peaks, ATAC-seq, histone modifications, chromatin state, and multi-omics integration using pandas/scipy/pysam computation.
Aggregates WGBS data across ENCODE experiments, donors, and labs to build tissue-level DNA methylation maps. Identifies HMRs, PMDs; filters coverage; handles cross-lab variation.