Training course in Organisation and Utilisation of Hologenomic Datasets

Course by HoloFood partner European Bioinformatics Institute | EMBL-EBI

Two day training course in Organisation and Utilisation of Hologenomic Datasets on 11 - 12 September 2022 running as a precursor to the free Applied HoloGenomics Conference (13 -15 September), also in Bilbao, Spain.

This course will cover the generation and application of large-scale holo-omic data sets, such as those produced within the HoloFood project. If you are planning or currently working on large-omic datasets, be it metabolomics, metagenomics, genomics or biological data management then this could be the course for you!

Read more about the course and registrer by the 15 July 2022 on the course webpage. 

Organised by HoloFood partner European Bioinformatics Institute | EMBL-EBI with a great line-up of trainers!

Who is this course for?

This course is aimed at researchers who are interested in generating their own, or utilising existing hologenomics datasets (such as HoloFood data). Ideal applicants should have experience working with large-scale data/systems biology, or have an anticipated project requiring access to or analysis of large-scale holo-omic data. Applicants are expected to be comfortable working in a Linux/command line environment.

What will I learn?

Learning outcomes

After the course you should be able to: 

  • Describe the HoloFood data that is available and how it was generated
  • Access a range of data types from leading public repositories
  • Illustrate how the data sets relate to each other
  • Use the data to support your own analysis  
     
Course content

During this course you will learn about: 

  • Omic data repositories: MGnify, European Nucleotide Archive, MetaboLights, BioSamples
  • Available HoloFood datasets: Genomic, Metagenomic, Metatranscriptomic, Metabolomic, Microbial Genome Catalogues
  • Analysis techniques: Metagenome assembly, recovery of genomes, functional annotation of genomes, environmental metabolomic analysis
  • Integration: Approaches and tools for further holo-omic analysis: e.g. integration of metabolomic data with (meta-)genomic data 

Trainers

Germana Baldi EMBL-EBI
Jaelle Brearley NTNU
Robert Finn EMBL-EBI
Tom Gilbert UCPH
Shyam Gopalakrishnan UCPH
Martin Hansen AU
Varsha Kale EMBL-EBI
Morten Limborg UCPH
Melanie Parejo EHU/UPV
Jakob Rasmussen UCPH
Lorna Richardson EMBL-EBI
Alexander Rogers EMBL-EBI

The course is organised by the HoloFood Innovation Action and has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 817729.