skills.rest
MubasherMohammed
MubasherMohammedCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

methylation-clock

Compute epigenetic age from DNA methylation data using PyAging clocks.

Updated May 10, 2026
Search Tags:#GEO#clock#aging#methylation#epigenetics#pyaging
One-click install
npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill methylation-clock
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: methylation-clock
Source: https://github.com/MubasherMohammed/opencode-BioInfo/tree/main/python/skills/methylation-clock
Command: npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill methylation-clock

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyaging, pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of epigenetic age computation from DNA methylation data, offering a standardized pipeline for reproducibility and accuracy.

Core Features & Use Cases

  • Reproducibility: Ensures accurate reproducibility of epigenetic age predictions with explicit reproducibility outputs.
  • Flexibility: Accepts either GEO accessions or local methylation files for input.
  • Scalability: Supports multiple methylation clocks and various input file formats.
  • Use Case: Ideal for researchers in the field of epigenetics and aging, aiming to calculate epigenetic age from methylation data derived from GEO datasets or their own experiments.

Quick Start

Use the methylation-clock skill to compute the epigenetic age from the provided methylation data using the default PyAging clocks.

Frequently Asked Questions about methylation-clock

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute epigenetic age from DNA methylation data?▼

To compute epigenetic age from DNA methylation data, this Skill applies PyAging methylation clocks to GEO accessions or local files, generating standardized age predictions with explicit reproducibility outputs.

What is the best way to calculate epigenetic age using a GEO accession?▼

Calculating epigenetic age from a GEO accession involves inputting the GEO identifier directly into the pipeline. The Skill supports GEO accessions natively, processing the methylation data through PyAging to produce standardized epigenetic age predictions.

Can I use local methylation files to run PyAging clocks?▼

Yes, you can use local methylation files to run PyAging clocks. The Skill accepts local methylation files alongside GEO accessions, allowing you to compute epigenetic age directly from your own experimental methylation data.

Does this epigenetic age calculator support multiple methylation clocks?▼

Yes, this epigenetic age calculator supports multiple methylation clocks. It leverages the PyAging framework to offer various clock options, providing scalability for researchers calculating epigenetic age across different datasets.

What Python dependencies are needed for methylation clock computation?▼

Methylation clock computation requires pyaging, pandas, numpy, and matplotlib. These dependencies enable the data processing and visualization needed to generate accurate epigenetic age predictions from methylation datasets.

Related Skills

Explore More Education & Research Skills→
inflexa-aiinflexa-ai
29

dna-methylation

Analyze DNA methylation data from Illumina arrays and bisulfite sequencing.

Official
Advanced
MubasherMohammedMubasherMohammed

proteomics-clock

Predict organ-specific biological age from Olink proteomic data using elastic net aging clocks.

Community
Advanced
mkurmanmkurman
321

seaborn

Generate statistical visualizations from pandas DataFrames using seaborn functions.

Community
Advanced
BIsnake2001BIsnake2001
12

correlation-methylation-epiFeatures

Integrate CpG methylation BED data with chromatin bigWig signals to generate region_signal_table.tsv and correlation matrices.

Community
Advanced