challengingclockuniversality - Pan-Mammalian Epigenetic Clock Analysis v1.0.2

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

Description: This repository contains the scripts and analysis pipeline used in a master's thesis investigating pan-mammalian epigenetic clocks and tissue-specific methylation patterns. The study focuses on analyzing DNA methylation data from the Mammalian Methylation Consortium (MMC) across various tissues and species. Key features of this release:

1. Python scripts for processing and analyzing large-scale methylation datasets
2. Code for comparing methylation patterns across different epigenetic clocks (Clock1, Clock2, Clock3)
3. Analysis of tissue-specific methylation profiles and their deviations from pan-tissue patterns
4. Implementation of statistical tests including Mann-Whitney U tests and correlation analyses
5. Scripts for functional enrichment analysis of consistently methylated CpG sites
6. Visualization code for generating heatmaps, PCA plots, and other figures presented in the thesis

This release provides a toolkit for the analysis of epigenetic clocks, tissue-specific methylation patterns, and the implications of DNA methylation in aging across mammalian species. Conflicts with zenodo fixed.

Version: v1.0.2

Keywords: Epigenetics, DNA Methylation, Aging, Bioinformatics, Pan-Mammalian, Tissue-Specific, Epigenetic Clocks

License: MIT license

- Jupyter Notebook
Published by AntunesCSR over 1 year ago

challengingclockuniversality - Pan-Mammalian Epigenetic Clock Analysis v1.0.0

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

Description: This repository contains the scripts and analysis pipeline used in a master's thesis investigating pan-mammalian epigenetic clocks and tissue-specific methylation patterns. The study focuses on analyzing DNA methylation data from the Mammalian Methylation Consortium (MMC) across various tissues and species. Key features of this release:

1. Python scripts for processing and analyzing large-scale methylation datasets
2. Code for comparing methylation patterns across different epigenetic clocks (Clock1, Clock2, Clock3)
3. Analysis of tissue-specific methylation profiles and their deviations from pan-tissue patterns
4. Implementation of statistical tests including Mann-Whitney U tests and correlation analyses
5. Scripts for functional enrichment analysis of consistently methylated CpG sites
6. Visualization code for generating heatmaps, PCA plots, and other figures presented in the thesis

This release provides a toolkit for the analysis of epigenetic clocks, tissue-specific methylation patterns, and the implications of DNA methylation in aging across mammalian species.

Version: v1.0.0

Keywords: Epigenetics, DNA Methylation, Aging, Bioinformatics, Pan-Mammalian, Tissue-Specific, Epigenetic Clocks

License: MIT license

- Jupyter Notebook
Published by AntunesCSR over 1 year ago