CTC-RG2018 - Ensembl Tools for Analysis of Variants in Complex Traits: A Worked Example


  Friday 22 June 2018


University of Glasgow - University of Glasgow, Glasgow,  G12 8QQ, United Kingdom

Application opens: 

Wednesday 13 June 2018

Application deadline: 

Wednesday 13 June 2018


First come, first served


Astrid Gall

Registration fee: 

£292 for the whole meeting

Registration closed

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Course Overview

The Ensembl project at www.ensembl.org provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences. This two-hour workshop offers participants the possibility of gaining hands-on experience in the use of the Ensembl genome browser but also provides them with the necessary background information. Our sister project at www.ensemblgenomes.org can also be covered if participants are working with bacteria, plants, fungi, protists or (invertebrate) metazoa.

The workshop is primarily targeted at wetlab researchers, and we customise the course for species of interest and to include total beginners to our browser up through frequent users. 

Feedback from previous courses: "There are probably quite few people out there who all assume that Ensembl today is the same as it was years ago. It is not. With many new features and datasets incorporated/interlinked, it offers data exploration like never before. This course was a very useful update on what Ensembl has become" Browser workshop, CRUK, April 2016

"Very useful workshop, certainly one of the most informative and useful I have attended. Delivered by someone who was extremely familiar with the website and its capabilities, not someone who had used it a couple of times and proclaimed themselves to be an expert." Browser workshop, Cardiff, March 2014

If you think you'd like to host a similar course at your institute, you can find out more on the Ensembl workshops page.


wet-lab researchers and bioinformaticians

Learning outcomes

Participants should be able to:

  • explore information about genes and their sequences

  • analyse genomic variants and phenotypes and their own variation data using the VEP

  • view homologous genes