Date: 21 - 24 January 2020

This course will provide an introduction to the technology, data analysis, tools and resources used in RNA sequencing and transcriptomics. The content is intended to provide a broad overview of the subject area, and to introduce participants to simple data analysis using  the command line and APIs. It will also highlight key resources, approaches and methodologies to begin the biological interpretation and analysis of transcriptomics data. Topics will be delivered using a mixture of lectures, practical sessions and open discussions. Practical work during the course will use small, example data-sets - there will be no opportunity to  analyse personal data.

Venue: European Bioinformatics Institute Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Target audience: This course is aimed at life science researchers wanting to learn more about processing RNA-Seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-Seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials:

 Basic introduction to the Unix environment:
 www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux:
 https://training.linuxfoundation.org/free-linux-training
 Basic R concept tutorials: 
www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.

Capacity: 30


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