Target audience: The course is aimed at wet-...
Bioinformatics for T-Cell immunology
11 - 15 July 2022
United KingdomBioinformatics for T-Cell immunology https://www.ebi.ac.uk/training/events/bioinformatics-t-cell-immunology-2022 http://tess.elixir-uk.org/events/bioinformatics-for-t-cell-immunology This course will introduce and explore a number of key bioinformatics tools and resources that can be applied to T-cell immunological research. Targeted at life scientists with a wet-lab focus, it will provide participants with an overview of best-practice methods in applying bioinformatics approaches and enable them to become confident users of their own and public domain data. The resources introduced during the course will cover a variety of data types, from genomic data to computational models, and biological pathways. Participants will gain experience of the analysis pipelines for RNA-Seq and flow cytometry experiments as well as data integration of -omics data and basics concepts of machine learning approaches.This course has been developed in collaboration with the ENLIGHT-TEN+ project, a consortium focused on developing early-stage research expertise in T-cell immunology and big data analysis. In-person course We plan to deliver this course in an in-person manner onsite at 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. 2022-07-11 09:00:00 UTC 2022-07-15 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD   The course is aimed at wet-lab scientists working in the field of immunology who wish to learn more about available data and tools that can help them in their research. 15 places are reserved for early-stage researchers from the ENLIGHT-TEN+ project. 30   
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