Workshops and courses

ELIXIR node event Livestock genomics

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Date: 1 - 5 April 2019

This course will introduce participants to methods and approaches for analysing genomic data from common livestock species. It will guide participants through understanding the theory of next generation sequencing methods, and how these are applied in the field of livestock genomics. Over the course participants will learn about resequencing genomes, locating variant data, annotating a genome sequence using transcriptomics data and how to begin ascribing function to genes and genomic regions. The content will also explain how to make use of existing public data, submit and share your discoveries with the community and draw on relevant use cases in the field.

Contact: Marina Pujol - [email protected]

Venue: European Bioinformatics Institute, Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Organizer: European Bioinformatics Institute (EBI)

Host institutions: European Bioinformatics Institute

Target audience: This course is aimed at PhD students and postdoctoral researchers needing to learn about methods and approaches for manipulating and analysing livestock genomic data. It will help those wanting to start basic identification of genetic variation, annotating function to genomic data, and using public data to interpret new findings. 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

Event types:

  • Workshops and courses

Scientific topics: Genomics, Functional genomics, Gene annotation format, Nucleic acid sequence analysis

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