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