A bioinformatics study comparing novel telomere length estimation pipelines (TelomereCat and TelSeq), submitted as an academic project.
Live poster: https://mylonas.github.io/telomeres
Telomere length is a biomarker for cellular ageing and disease. This project explores and compares two state-of-the-art tools for estimating telomere length from sequencing data, aiming to improve prediction accuracy.
| Tool | Approach |
|---|---|
| TelomereCat | Read-based telomere estimation |
| TelSeq | K-mer based telomere length estimation |
| File | Description |
|---|---|
analyse_tellength.py |
Python analysis script: data processing and multiple regression models |
poster.pdf |
Academic poster summarising methods and findings |
index.html |
GitHub Pages PDF viewer |
pip install pandas numpy scipy matplotlib
python analyse_tellength.pyThis study investigates novel pipelines for telomere length prediction, evaluating their suitability for clinical and research applications using multiple regression modelling.