ESHG 2017: Ensembl & GENCODE

Date:

  Monday 29 May 2017

Venue: 

Bella Center - Bella Center Copenhagen, Center Blvd. 5, 2300 København S,  Copenhagen, Denmark

Participation: 

First come, first served

Contact: 

Benjamin Moore

Registration closed

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Dates additional information: 

This workshop is held as part of the European Society of Human Genetics (ESHG) 2017 conference for conference delegates. You must register for the ESHG2017 conference in order to attend this workshop: https://2017.eshg.org/index.php/programme2017/monday/ This workshop (W18) will be held in the Ancona room.

Course Overview

The Ensembl project at www.ensembl.org provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences. This 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.

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.

Audience

wet-lab researchers, clinicians and bioinformaticians

Learning outcomes

  • Learn about the data types in Ensembl
  • Learn about the GENCODE gene set
  • Learn how to view data in the Ensembl browser
  • Learn how to mine Ensembl data using BioMart
  • Learn how to analyse variation data using the Variant effect Predictor (VEP)