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  Human Islet Research Network (HIRN) Tutorial


Introduction:

Human Islet Research Network (HIRN) is a network to conduct innovative and collaborative research investigating the loss of human beta cells in type 1 diabetes (T1D), and to identify pioneering strategies to protect and replace functional beta-cell mass. HIRN connects many of the world’s leading scientists and laboratories together to address essential questions related to the loss of functional human beta cell mass in Type 1 Diabetes. Since its inception in 2014, hundreds of studies have been performed and published. Valuable resources have been generated for dissemination to communities and investigators of interest. HIRN Resource Browser is a collection of T1D research resources including T1D datasets submitted by HIRN investigators and curators. HIRN datasets include genomics, metabolomics, epigenomics, cellomics, transcriptomics, and proteomics datasets.


HIRN Tutorial: Finding Resources for Bioinformatics Reuse on the HIRN Resource Browser

​​This tutorial is generally useful for anyone who wants to learn about and access HIRN-related resources for a bioinformatics project, whether you're a beginner or more advanced. Related materials are available at https://gitlab.com/hirn-ec/dkNET-21-D-challenge-tutorial/.


Tutorial That Has Been Selected For You:

What hypothesis are you developing or what information are you looking for?

Data related to my disease of interest

The hypothesis generation examples that you selected:

Type 1 Diabetes datasets

Learning Goals:

  • How to navigate our catalog to find the most relevant datasets and associated resources.

  • An overview of HIRN Resource Browser API and how you can access the catalog programmatically.


Tutorial Lesson:

This is an external tutorial provided by HIRN. You will be directed to an external page for this tutorial.


Related Material:

​​https://gitlab.com/hirn-ec/dkNET-21-D-challenge-tutorial/