Date:Monday 4 - Friday 8 June 2018
Venue:European Bioinformatics Institute (EMBL-EBI) - Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
Application opens:Monday December 04 2017
Application deadline:Tuesday March 06 2018
Participation:Open application with selection
Contact:EMBL-EBI Training Team
This course aims to provide an introduction to immunology bioinformatics, offer opportunities to explore key methods, tools and resources that can be applied to research. 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.
This 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 and basic R concepts.
Syllabus, tools and resources
The course will explore a number of bioinformatics resources relevant to immunology including:
- abYsis – antibody discovery system
- 3i Consortium and immunology databases
- IntAct database
- Reactome database
- BioModels database
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
A programme will be provided shortly. A similar programme from the 2017 course can be found here.