Metagenomic Bioinformatics and 16S rRNA Analysis in Colorectal Cancer: Implications for Digital Nursing and Telenursing
Facilitators:
- Otmane EL BRINI
- Zakia Boudar
- Soumaya Jbara
- Sara Fadel
Target Audience :
Healthcare professionals, nursing researchers, postgraduate students in life sciences or bioinformatics, and digital health practitioners interested in microbiome-based approaches to personalized care.
Objectives:
- Introduce the fundamentals of microbiome science and metagenomic approaches using 16S rRNA sequencing.
- Present the structure and workflow of a typical microbiome bioinformatics pipeline (e.g., quality filtering, ASV inference, taxonomic assignment via DADA2 or Galaxy).
- Analyze public 16S rRNA sequencing datasets from colorectal cancer patients to extract microbial patterns.
- Understand how gut microbiota composition can influence cancer development, response to treatment, and patient outcomes.
- Explore how Telenursing can integrate microbiome data for remote monitoring, risk assessment, and personalized nursing care.
Description:
This masterclass introduces participants to microbiome analysis in the context of colorectal cancer, focusing on 16S rRNA-based sequencing data. Using bioinformatic tools like Galaxy, participants will learn how to process raw sequencing data, extract and interpret bacterial profiles, and visualize taxonomic differences between healthy and cancer-affected individuals. Special emphasis will be placed on how these insights can be applied in telenursing and digital nursing care models, enabling personalized follow-up, prevention strategies, and improved patient education through remote care platforms. This session bridges the gap between genomics, nursing, and digital innovation.
Maximum Number of Participants:
40 participants – registration on a first-come, first-served basis.
