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challengingclockuniversality

Challenging Clock Universality: A Comprehensive Analysis of Tissue-Specific Methylation Patterns in Mammalian Epigenetic Clocks

https://github.com/antunescsr/challengingclockuniversality

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    Low similarity (0.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Challenging Clock Universality: A Comprehensive Analysis of Tissue-Specific Methylation Patterns in Mammalian Epigenetic Clocks

Basic Info
  • Host: GitHub
  • Owner: AntunesCSR
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 198 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created about 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

MScProjectScripts

Scripts and files associated to the MSc Thesis: "Challenging Clock Universality: A Comprehensive Analysis of Tissue-Specific Methylation Patterns in Mammalian Epigenetic Clocks"

Owner

  • Name: Catia Antunes
  • Login: AntunesCSR
  • Kind: user
  • Location: Reading, UK
  • Company: University of Reading

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Antunes"
    given-names: "Cátia"
title: "Challenging Clock Universality Repository"
version: 1.0.0
date-released: 2024-09-01  # Replace with the actual release date
url: "https://github.com/AntunesCSR/ChallengingClockUniversality"
type: software
keywords:
  - bioinformatics
  - epigenetic clock
  - aging
license: MIT License
repository-code: "https://github.com/AntunesCSR/ChallengingClockUniversality"
abstract: "This repository houses the computational framework and comprehensive analysis developed for a Master's thesis 
in Bioinformatics. The research focuses on critically examining the universality principle of the pan-mammalian epigenetic clocks, a key 
concept in the field of aging biology. Through statistical analyses and computational approaches, this 
work challenges existing paradigms and explores the tissue-specific nature of epigenetic aging markers. The repository 
includes custom Python scripts, R notebooks, and data processing pipelines designed to interrogate methylation 
datasets across diverse tissue types. This research contributes to the ongoing scientific discourse on the 
mechanisms of biological aging and the development of more accurate, context-specific epigenetic biomarkers."

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