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Home Pathology Portal Genetics and Genomics Bioinformatics, interpretation and data quality assurance in genome analysis Bioinformatics for T-Cell immunology Introduction to machine and deep learning analysis
Introduction to machine and deep learning analysis
Pathology Portal

Bioinformatics for T-Cell immunology - Introduction to machine and deep learning analysis - Part 4

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Overview:To explore the importance of data submission and sharing, FAIR data, and provision of maximum metadata for each data submission. Introduction to data submission and data retrieval routes at the ENA.

Learning outcome
By the end of this session you will be able to:

  • Identify the importance of material sharing, dissemination, and reusability
  • Define FAIR data principles
  • Explain ENA Metadata model and the significance of metadata
  • Have an understanding of data submission routes at the ENA
  • Retrieve data from ENA

Maira Ihsan – EMBL-EBI

Maira joined the ENA as a User Support Bioinformatician in December 2021. She’s happy to assist with any queries regarding data submission or retrieval at the ENA. Her educational background is in Bioinformatics and Biomedical Sciences.

Resource details

Contributed by: Pathology Portal
Authored by: Maira Ihsan, European Molecular Biology Laboratory - European Bioinformatics Institute, EMBL-EBI, User Support Bioinformatician
Licence: © All rights reserved More information on licences
First contributed: 13 December 2022
Audience access level: Full user

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