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  • EMBL-EBI on-site course | Introduction to RNA-seq and functional interpretation

    EMBL-EBI on-site course | Introduction to RNA-seq and functional interpretation | 20 – 24 February 2023.

    Gain an introduction to the technology, data analysis, tools, and resources used in RNA sequencing and transcriptomics. The content will provide a broad overview of the subject area, and introduce participants to basic analysis of transcriptomics data using the command line. It will also highlight key public data repositories and methodologies that can be used to start the biological interpretation of expression data. Topics will be delivered using a mixture of lectures, practical exercises, and open discussions. Computational work during the course will use small, example data-sets, and there will be no opportunity to analyse personal data.

    View the full course content, programme, and application advice. Applications close 6 November 2022.

    In-person course

    We plan to deliver this course in-person in our training suite at EMBL-EBI, Hinxton. Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing.

    Who is this course for?

    This course is aimed at life science researchers wanting to learn more about processing RNA-seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results.

    Participants will require a basic knowledge of the Unix command line, the Ubuntu 20 operating system, and the R statistical packages. Some basic tutorials that cover these tools are: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

    Learning outcomes
    After the course you should be able to:
    • Describe a variety of applications and workflow approaches for NGS technologies
    • Apply bioinformatics software and tools to undertake analysis of RNA-seq data
    • Evaluate the advantages and limitations of NGS analyses
    • Interpret and annotate data with functional information using public resources
    Course content
    During this course you will learn about:
    • RNA-seq file formats and basics of experimental design
    • RNA-seq bioinformatics workflow steps following sequence generation
    • Methods for transcriptomics; QC, mapping, and visualisation tools
    • Data resources to assist in the functional analysis and interpretation of transcriptomic data
    • Introduction to de novo approaches
    • Introduction to single-cell transcriptomics
    • Data resources covered:
    Trainers

    Simon Andrews
    Babraham Institute
    Helena Cornu
    EMBL-EBI
    Selene L. Fernández-Valverde
    Cinvestav-LANGEBIO
    Nancy George
    EMBL-EBI
    Leanne Haggerty
    EMBL-EBI
    Vitalii Kleshchevnikov
    Sanger Institute
    Pedro Madrigal Bayonas
    EMBL-EBI
    Irene Papatheodorou
    EMBL-EBI
    Wei Kheng Teh
    EMBL-EBI
    Krishna Kumar Tiwari
    EMBL-EBI
    Rebecca Nicholl,
    Marketing and Communications Manager
    EMBL-EBI Training, Hinxton, UK
    www.ebi.ac.uk/training

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