Date: 15 - 19 July 2019

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.

Venue: European Bioinformatics Institute Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Target audience: 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

Capacity: 30


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