Workshops and courses

ELIXIR node event Introduction to RNA-seq and functional interpretation

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Date: 26 - 29 March 2019

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.

Contact: Johanna Langrish - [email protected]

Keywords: DNA & RNA (dna-rna)

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 life science researchers needing to learn more about the basic processing of raw RNA-Seq data and downstream analysis. It will help those wanting to learn how to interpret gene expression data and explore results of biological significance from processed data. 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

Instructors: Tom Hancocks, Silvie Fexova, Sung Gong, Leanne Haggerty, Kostas Billis, Simon Andrews, Nancy George, Liis Kolberg, Thawfeek Mohamed Varusai, Denise Carvalho-Silva, Anton Petrov, Blake Sweeney, Sam Holt, Vladimir Kiselev

Scientific topics: Gene expression, Functional genomics

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