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  • EMBL-EBI: Introduction to the European Nucleotide Sequence Archive (Online)

    13 May 2020

    Elixir node event
    EMBL-EBI: Introduction to the European Nucleotide Sequence Archive (Online) https://tess.elixir-europe.org/events/embl-ebi-introduction-to-the-european-nucleotide-sequence-archive The European Nucleotide Sequence Archive (ENA) is a global database for storing experimental nucleotide data and also interpreted data (alignment files, variant calling, analysis results). ENA is the database where all raw and consensus viral sequence data should be deposited, including SARS-Cov-2 data. The data is submitted by scientists conducting sequencing experiments and publishing research in the area. Data is fully searchable and available for download. Sequence data includes raw NGS files (FastQ, BAM…), assembled genomes and transcriptomes, and annotated sequences (protein coding genes, non coding RNA, barcode genes, HLA genes). This training is aimed at a wide range of users that need to retrieve data from ENA, either occasionally or on a regular basis, or those users who will have retrieval needs closer to the course time. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3459786&course-title=EMBL-EBI:%20Introduction%20to%20the%20ENA%20Sequence%20Archive).'' 2020-05-13 09:30:00 UTC 2020-05-13 12:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] The workshop is suitable for scientists that are producing sequence data and require a platform to publish itand for bioinformaticians wishing to search and analyse third party sequence data.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []

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