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Reproducible RMarkdown analysis of TCGA sarcoma data (TELS1/TRF2/ATRX/DAXX,...)

joeydufourd/TELS1-and-cancer

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TELS1 and Cancer – GDC Data Re-analysis

This repository contains an RMarkdown-based re-analysis of public TCGA/GDC datasets, focusing on human TELS1 (ENSG00000121903) and related genes such as TRF2, ATRX, and DAXX, in sarcoma cohorts.
The goal is to provide a transparent, fully reproducible workflow and interactive figures (Kaplan–Meier curves, expression plots, clinical correlations, etc.).


Contents

  • GDC-cancer-and-TELS1.html
    Interactive HTML report with:

    • Sample/sample correlations
    • Expression analysis of lineage controls (ACTA2, ATRX, DAXX)
    • Survival analyses (Kaplan–Meier, Cox models)
    • Combined TELS1/TRF2 expression patterns
    • Clinical associations (stage, diagnosis, survival, age, gender, etc.)
    • Interactive plots with plotly and DT tables
  • R/ and .Rmd scripts
    Source code to regenerate the HTML analysis.

  • renv.lock
    Snapshot of the R environment for reproducibility.


Reproducibility

The analysis is fully reproducible with renv.

Analysis link

Access the analysis here. Don't forget to also check my website for other cool stuff.

Clone the repository and restore the environment:

git clone https://github.com/joeydufourd/tels1-gdc-analysis.git
cd tels1-gdc-analysis
R -e "renv::restore()"

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Reproducible RMarkdown analysis of TCGA sarcoma data (TELS1/TRF2/ATRX/DAXX,...)

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