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.

Who is this course for?

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.

What will I learn?

Learning outcomes

During this course you will learn about:

• Basics of NGS technologies
• Read mapping, variant calling and GWAS
• Genebuild/Ensembl Annotation
• Ensembl Browser + data resources for genomics
• Relevant genomics use cases in key livestock species

Course content

During this course you will learn about:

• Basics of NGS technologies
• Read mapping, variant calling and GWAS
• Genebuild/Ensembl Annotation
• Ensembl Browser + data resources for genomics
• Relevant use cases

Trainers

Please read our page on application advice before starting your application. In order to be considered for a place on this course, you must do the following:

1. Complete the online application form
2. Provide a Microsoft Word (.docx) document containing three short paragraphs with a biography, work history and description of your current research interests; each paragraph should be no more than 100 words
3. Provide a letter of support from a supervisor or a senior co-worker explaining why you should be selected for this course

Incomplete applications will not be considered.

CABANA Travel Fellowships & Course Fee Bursary

The CABANA project has made available funds to provide 10 successful applicants from Latin American countries with a bursary to cover 100% of the course fee and up to £1125 towards travel costs. If you fulfill the selection criteria and wish to apply for a CABANA Travel Fellowship or Course Fee Bursary please complete this form in addition to your application.

Participants have the opportunity to display an A2 (420x594mm - portrait) poster for the duration of the course. We will ask you to submit your poster before the course for printing on site. It is not possible to display posters of a different size or orientation.

Accommodation will be provided in the Wellcome Genome Campus Conference Centre Monday-Friday inclusive. Please contact the Conference Centre directly if you wish to arrange to stay additional nights. The course fee includes breakfast and evening meals at Hinxton Hall, as well as breaks and lunches outside the EMBL-EBI training rooms.