asma-bioinformatics/TP53_CRC_Bioinformatics_Master_Project

Reproductible bioinformatics pipeline analysing TP53 mutations in colorectal cancer (Tunisian cohort) # TP53 Mutational Analysis in Colorectal Cancer This repository contains the bioinformatics and statistical analysis pipeline for the study: **Integrated Clinicopathological and Bioinformatic Analysis of TP53 Mutations Reveals Prognostic Impact in Colorectal Cancer** ## Project overview This project investigates the prognostic impact of TP53 mutations in a cohort of 59 colorectal cancer patients using: - Clinical data analysis - Survival analysis (Kaplan–Meier & Cox regression) - Mutation profiling - Data visualization ## Dataset The dataset contains: - Clinical variables - Molecular alterations (TP53, KRAS, APC, etc.) - Overall Survival (OS) - Progression-Free Survival (PFS) ## Analysis workflow 1. Data preprocessing (Linux/Bash) 2. Mutation and clinicopathological analysis 3. Survival analysis using R 4. Figures and tables generation ## Technologies used - Bash / Linux - R (survival, survminer, ggplot2) - Bioinformatics data analysis ## Author Asma Bouafif