Thursday 28 January 2027 | 14:10 - 15:40 I Workshop Room

Explore modern approaches to scalable, reproducible and interoperable multi-omic data analysis.

The rapid expansion of genomics has transformed how we study biology, with researchers now integrating transcriptomics, epigenomics, proteomics, spatial omics, imaging and single-cell data to answer increasingly complex biological questions. As these datasets grow in scale and complexity, the challenge is no longer simply generating data, but analysing, integrating and interpreting it in ways that produce meaningful biological insight. 

This workshop explores modern approaches to scalable, reproducible and interoperable multi-omic data analysis. Rather than focusing on a single software framework or programming ecosystem, it presents practical strategies for integrating diverse data types, developing robust analytical workflows and applying best practices that support reproducible research.

Multi-Omic Data

Learning outcomes

By the end of the workshop, participants will be able to: 

  • Develop AI strategies for integrating complex multi-omic datasets. 

  • Translate complex multi-modal datasets into robust and biologically meaningful conclusions.

  • Apply best practices for organising, managing and interpreting high-dimensional biological data. 

  • Design scalable and reproducible workflows for modern genomic analyses. 

Who should attend

This workshop is designed for: 

  • Computational biologists 
     

  • Researchers working with multi-omic or high-dimensional biological data
     

  • Clinical bioinformaticians 
     

  • Core facility scientists 
     

  • Genomics researchers 
     

  • Data scientists working in life sciences 
     

  • Bioinformaticians 

Workshop outline

  • Connecting AI Models Across Genomics, Single-Cell and Tissue Modalities – Explore how specialist AI models connect genomic, single-cell, spatial and tissue data to generate richer multimodal insights, with Oliver Stegle, EMBL.

  • Scalable Genomic Data Analysis – Examine approaches for analysing complex multi-omic datasets using cloud computing, distributed analysis, reproducible pipelines and AI/ML, with Inga Prokopenko, University of Surrey.

  • Interoperability of Omics Data Analysis – Understand the importance of interoperability, approaches to achieving it, and its application within the Bioconductor ecosystem, with Oliver Crook, University of Oxford.

 

Workshop Leaders

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Speaker profile image for Oliver Stegle

Oliver Stegle

Division Head
EMBL
Speaker profile image for Inga Prokopenko

Inga Prokopenko

Professor e-One Health and Head of Statistical Multi-Omics
University of Surrey
Speaker profile image for Oliver Crook

Oliver Crook

Todd-Bird Junior Research Fellow
University of Oxford

Connecting AI Models Across Genomics, Single-Cell and Tissue Modalities (30 minutes) 

  • Linking specialist AI models across genomic, single-cell, spatial and tissue modalities to create richer multimodal biological insights. 

  • Exploring frontier AI systems and how foundation models can dynamically orchestrate the most appropriate specialist models for a given biological or clinical question. 

  • Designing interoperable, machine-readable tools with standardised inputs, outputs and interfaces that can be used directly by AI models and autonomous agents. 

Oliver Stegle, Division Head and Group Leader, EMBL 

Scalable Genomic Data Analysis (30 minutes) 

  • Scaling multi-omics analysis across large, complex datasets while maintaining computational efficiency and analytical accuracy.  

  • Leveraging cloud computing, distributed analysis and reproducible pipelines to process increasingly large and heterogeneous datasets.  

  • Using AI/ML and advanced computational approaches to uncover cross-omics relationships, identify disease signatures and translate multi-omics data into actionable discoveries. 

Inga Prokopenko, Professor e-One Health and Head of Statistical Multi-Omics, University of Surrey 

 

Interoperability of Omics Data Analysis (30 minutes) 

  • The importance of interoperability 

  • Interoperability in the Bioconductor ecosystem.

  • Different strategies for interoperability 

Oliver Crook, Todd-Bird Junior Research Fellow, University of Oxford   

 

 

**Please register your interest in being considered for a workshop place when completing your festival ticket registration.**