Training

This course will introduce and explore a number of key bioinformatics tools and resources that can be applied to immunological research, with a particular focus on T-cell biology. 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 and proteomic data, to computational models, biological pathways and reaction information. Participants will gain experience of the analysis pipelines for ChIP-Seq and RNA-Seq experiments, and will be led through an exploration of this data to identify regulatory regions, changes in gene expression and T-cell receptor sequences.

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.

During this course you will learn about:

• Bioinformatics experiments, data submission and approaches
• Databases relevant to immunology research
• Ensembl genome browser and Ensembl Regulation
• scRNA-Seq data analysis and the TraCeR tool
• IntAct, Reactome, BioModels databases
• Example use cases of bioinformatics used in immunology

After this course, you should be able to:

• 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

All participants are invited to produce an A2 (420mm x 594mm) portrait poster for display during the course. Postersshould include current research interests, the relevance the course has to your work, and potential areas you will be able to explore in the future.