This course will introduce and explore a number of key bioinformatics tools and resources that can be applied to T-cell immunological research. Targeted at life scientists with a wet-lab focus, it will provide participants with an overview of best-practice methods in applying bioinformatics approaches and enable them to become confident users of their own and public domain data. The resources introduced during the course will cover a variety of data types, from genomic data to computational models, and biological pathways. Participants will gain experience of the analysis pipelines for RNA-Seq and flow cytometry experiments as well as data integration of -omics data and basics concepts of machine learning approaches.This course has been developed in collaboration with the ENLIGHT-TEN+ project, a consortium focused on developing early-stage research expertise in T-cell immunology and big data analysis.

In-person course
We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing.

Who is this course for?

The course is aimed at wet-lab scientists working in the field of immunology who wish to learn more about available data and tools that can help them in their research.

15 places are reserved for early-stage researchers from the ENLIGHT-TEN+ project.

What will I learn?

Learning outcomes

• Locate and search bioinformatics resources for data of interest
• Utilise software and tools to manipulate and analyse immunology data
• Use experience in NGS workflows for analysis of ChIP-Seq and RNA-Seq datasets
• Apply bioinformatics methodologies to your own research

Course content

During this course you will learn about:

• Bioinformatics tools and resources for immunology 
• Databases relevant to immunology research: Single cell Expression Atlas, Reactome, ENA, Omics Discovery Index (OmicsDI)
• scRNA-Seq data analysis 
• Flow cytometry analysis
• Use cases on machine- and deep-learning 
• Genetics of molecular and immune phenotypes
• FAIR data

Trainers

Please read our page on application advice before starting your application. In order to be considered for a place on this course, you must do the following:

• Complete the online application form.
• Ensure you add relevant information to the "application submission" section where you are asked to provide information on your:
  • scientific biography
  • work history
  • current research interests
• Upload a letter of support from your supervisor or a senior colleague detailing reasons why you should be selected for the course.

Please submit all documents during the application process by midnight on 18 March. Items marked * are in the application are mandatory. Incomplete registrations will not be processed. 

All applicants will be informed of the status of their application (successful, waiting list, rejected) by 1 April. If you have any questions regarding the application process please contact Sophie Spencer.

Note that the registration fee includes:

• All meals (breakfast, lunch, dinner and refreshment breaks)
• Accommodation for four nights
• Course materials
• Use of a computer in the EMBL-EBI training room throughout the course

Accommodated will be provided onsite at the Hinxton Hall Conference Centre. Please contact them directly if you wish to arrange to stay additional nights around the course dates.

The course includes evening meals, as well as breaks and lunches outside the EMBL-EBI training rooms.