Join this informative session to explore a new generation of training courses built upon the scNotebooks framework, recently published in Nature Genetics:

https://www.nature.com/articles/s41588-026-02584-0
https://integrativebioinformatics.github.io/scNotebooks/

Graph-Based Data Science for High-Impact Omics

📅 Date: July 9
🕑 Time: 14:00
📍 Format: Online (Zoom, link here)

These open-access, interactive notebooks provide practical training in single-cell and multi-omics data analysis through real datasets, live coding, and fully reproducible workflows.

Tailored Training Tracks for LS4FUTURE

For this initiative, three focused course tracks have been curated:

1. Single-Cell RNA-seq Basics

• Single-cell RNA-seq basic analysis
• Cell–cell communication
• Network applications on single-cell data

2. Using Networks to Study Microorganisms

• Python for data structuring
• Multi-source omics data integration
• Network construction, visualization, and analysis

3. Multi-Omics Data Analysis

• Basic analysis of proteomics
• Basic analysis of metabolomics
• Multi-omics integration methods

Training Approach

• Theory-to-practice learning
• Live coding with expert instructors
• Progressive skill development for non-computational backgrounds
• Fully open and reproducible science

Speakers

• Dr. Alberto Santos Delgado (DTU)
• Dr. Yesid Cuesta Astroz (University of Antioquia, co-author of the Nature Genetics publication)

This session is an opportunity to discover how cutting-edge, peer-reviewed methods can be translated into practical skills tailored to your research needs.