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Integrative analysis of multi-omics data – Course and Conference Office

EMBO Practical Course

Integrative analysis of multi-omics data

Overview

Proof of COVID-19 vaccination or recovery is required to attend this on-site course. Please see EMBL’s COVID-19 safety policy for on-site events.

This course has been postponed from February 2022 and the selection process is finalised. Applications will not be re-opened.

Course overview

Multi-omics studies that combine genomics, transcriptome, proteome and other modalities are increasingly common in fundamental biology research and biomedicine. Using multi-omics experimental designs at bulk or single-cell resolution can help identifying novel biomarkers or reveal insights into biological mechanisms. This course addresses the conceptual and mathematical foundations of state-of-the-art methods for analyzing the data that results from multi-omics studies. The course will provide an overview of advanced applications of multi-omics methods, provide insights into how to select the most appropriate methods and convey practical experiences by providing participants with hands-on training. Finally, we will provide opportunities for participants to apply the taught principles to their own problems and data.

Audience

This course is aimed at PhD students and post-docs in computational biology aiming to improve their skills in multi-omics data integration methodologies. Solid experience with R and/or Python and willingness to work with both is a prerequisite for this course.

Modules

  • Probabilitic factor models for multi-omics integration (MOFA)
  • Multi-table methods for multi-omics integration
  • Data visualization and interactive exploration
  • Pre-processing and data management
  • Detection of hidden confounders and technical effects
  • Hands-on exercises with bulk and single cell multi-omics data sets

Learning outcomes

The course will provide researchers with an overview and the theoretical foundations of state-of-the-art methods for multi-modal integration, with a focus on omics data. In practical sessions on relevant real-world examples from single-cell and bulk multi-omics studies, participants will gain familiarity with software implementations and learn about practical aspects, including quality assessment of inputs and outputs, method performance assessment, choice of tuning parameters, interpretation of the model fit and potential pitfalls.

Date: 20 - 23 Sep 2022

Location: EMBL Heidelberg


Deadline(s):

Application: Closed


Organisers:

  • Wolfgang Huber
    EMBL Heidelberg, Germany

EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

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