The course 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 NGS experiments relevant to immunology, and will be led through an exploration of this data to identify information of interest. Additionally participants will be introduced to how data from a number of sources can be integrated to provide a wider view of their research.

Who is this course for?

The course is aimed at individuals working in immunology research who have minimal experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. Participants will require a basic knowledge of the Unix command line, and the R statistical package. We recommend these free tutorials:

• Introduction to the Unix environment – http://www.ee.surrey.ac.uk/Teaching/Unix/
• Basic R concepts – http://www.r-tutor.com/r-introduction

What will I learn?

Learning outcomes

After this course participants should be able to:

• Locate and search publically available bioinformatics data of interest
• Utilise software and tools to manipulate and analyse immunological data
• Apply appropriate bioinformatics methodologies to their own research
• To combine different types of data (eg genomic and structural) to gain further immunological insights

Course content

The course will explore a number of bioinformatics resources relevant to immunology including:

• Computation approaches for flow cytometry
• abYsis – antibody discovery system
• Single-cell RNA sequencing and databases of regulatory information
• Immunology databases
• EMBL-EBI data resources: IntAct, Reactome, BioModels

Trainers

Registration is handled through the Wellcome Genome Campus Connecting Science Advanced Courses and Scientific Conferences website.