methylation-clock

Community

Compute epigenetic age with PyAging methylation clocks

AuthorMubasherMohammed
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

pyagingpandasnumpymatplotlib

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: methylation-clock
Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#methylation-clock

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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