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https://hirnetwork.org/consortium/cmai

Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is developing innovative approaches to model basic aspects of human T1D immunobiology using novel in vivo and in vitro platforms.

Proper citation: HIRN Consortium on Modeling Autoimmune Interactions (RRID:SCR_016200) Copy   


  • RRID:SCR_016203

    This resource has 1+ mentions.

https://hirnetwork.org/coordinating_group/hirec

The Bioinformatics Center is located within the Department of Diabetes and Cancer Discovery Science at City of Hope and was established in 2014 to support the Human Islet Research Network (HIRN). The overall objective of the Bioinformatics Center is to advance type 1 diabetes knowledge generated through HIRN by providing the bioinformatics capability and infrastructure needed to support the Network. To achieve this goal, the Bioinformatics Center provides investigators with tools, processes, and methods to facilitate long term sharing, maintenance, and management of HIRN developed resources, including datasets, technologies, documents, and bioreagents. Collaboration and communication are cultivated through consultation and outreach activities. In 2019, HIRN received funding to continue HIRN Coordinating Center (CC) and Bioinformatics Center (BC) as Human Islet Research Enhancement Center (HIREC).

Proper citation: HIRN Bioinformatics Center (RRID:SCR_016203) Copy   


  • RRID:SCR_016441

    This resource has 1+ mentions.

https://www.t2depigenome.org/

Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers.

Proper citation: Diabetes Epigenome Atlas (RRID:SCR_016441) Copy   


http://www.bx.psu.edu/~giardine/vision/

International project to analyze mouse and human hematopoiesis, and provide a tractable system with clear clinical significance and importance to NIDDK. Collection of information from the flood of epigenomic data on hematopoietic cells as catalogs of validated regulatory modules, quantitative models for gene regulation, and a guide for translation of research insights from mouse to human.

Proper citation: ValIdated Systematic IntegratiON of epigenomic data (RRID:SCR_016921) Copy   


  • RRID:SCR_009019

    This resource has 1+ mentions.

https://joslinresearch.org

Diabetes research center which provides patient care and performs diabetes research. Its primary aim is to provide a facilitating framework for conducting multi-disciplinary basic and clinical research and to encourage the scientific development of young investigators.

Proper citation: Joslin Diabetes Center (RRID:SCR_009019) Copy   


http://dknet.org/

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy   


https://hirnetwork.org

Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP).

Proper citation: Human Islet Research Network (HIRN) (RRID:SCR_014393) Copy   


http://www.type2diabetesgenetics.org/

Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease.

Proper citation: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) Copy   



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