We are pleased to announce that registrations are now open for the upcoming LS4FUTURE Course in Multi-Omics Data Analysis, taking place from September 2 to 4, 2026, from 09:00 to 16:00, at ITQB NOVA.

LS4FUTURE Multi-Omics Data Analysis Course

📅 Dates: September 2 to 4, 2026

📍Place: ITQB NOVA

Registrations here (deadline: 13 August)

This course builds on the recent LS4FUTURE information session “Graph-Based Data Science for High-Impact Omics”, where the community was introduced to the scNotebooks framework, a new generation of open-access, interactive training resources designed to make omics data analysis more accessible, reproducible, and hands-on. Developed as multilingual Jupyter Notebooks, scNotebooks enable researchers to work with real datasets through guided workflows and live coding, directly from their own laptops using cloud-based environments such as Google Colab.

Following the session, the LS4FUTURE community was invited to participate in a survey to help shape the course content. Based on this input, the selected focus for this edition is Multi-Omics Data Analysis, reflecting a strong interest in approaches that integrate multiple layers of biological data to generate meaningful insights.

Course Overview

This intensive, hands-on training is designed primarily for PhD students and postdoctoral researchers, as well as researchers aiming to strengthen their data analysis skills, even with limited programming experience. The course will cover:

• Core concepts in multi-omics data analysis
• Integration of proteomics, metabolomics, and other omics data types
• Practical, step-by-step workflows using the scNotebooks framework
• Interactive analysis of real datasets
• Reproducible research practices

The course follows a theory-to-practice approach, combining conceptual understanding with guided implementation.

If you would like to participate:

• No advanced coding skills required
• No need for high-performance computing infrastructure
• Hands-on, interactive learning with real data
• Immediate applicability to ongoing research projects

Places are limited, and early registration is recommended (deadline: 13 August).

Register here

Join us for this opportunity to advance your data science skills and explore multi-omics analysis through an accessible, practical, and reproducible framework.