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http://bioplex.hms.harvard.edu/
Database of cell lines with each expressing a tagged version of a protein from the ORFeome collection. The overarching project goal is to determine protein interactions for every member of the collection.
Proper citation: BioPlex (RRID:SCR_016144) Copy
https://hirnetwork.org/consortium/ctar
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is investigating methods to increase or maintain functional beta cell mass in T1D through targeted manipulation of islet plasticity or engineered protection of beta cells from immune-mediated destruction.
Proper citation: HIRN Consortium on Targeting and Regeneration (RRID:SCR_016201) Copy
https://hirnetwork.org/consortium/chib
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is combining advances in beta cell biology and cell biology with tissue engineering technologies to develop microdevices that support functional human islets.
Proper citation: HIRN Consortium on Human Islet Biomimetics (RRID:SCR_016199) Copy
https://hirnetwork.org/consortium/cbds
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is using human tissues to discover highly specific biomarkers of beta cell injury in asymptomatic T1D and developing strategies to stop beta cell destruction early in the disease process.
Proper citation: HIRN Consortium on Beta Cell Death and Survival (RRID:SCR_016198) Copy
https://hirnetwork.org/project/hirncc
Consortium that provides infrastructure to promote communication and collaboration among current and future HIRN participants, facilitating scientific advances and the sharing of data, tools, and reagents among HIRN members and the research community at large.
Proper citation: HIRN Coordinating Center (RRID:SCR_016395) Copy
https://cm.jefferson.edu/rna22/
Software tool as a pattern based algorithm for detecting microRNA binding sites and their corresponding microRNA and mRNA complexes. Allows interactive exploration and visualization of miRNA target predictions. Permits link-out to external expression repositories and databases.
Proper citation: RNA22 (RRID:SCR_016507) Copy
http://zhoulab.usc.edu/TopDom/
Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: TopDom (RRID:SCR_016964) Copy
https://plusconsortium.umn.edu
Research consortium from many different fields to plan, perform and analyze the studies that are needed to help researchers conduct future prevention and intervention for Lower Urinary Tract Symptoms (LUTS) in women.
Proper citation: Prevention of Lower Urinary Tract Symptoms (RRID:SCR_016923) Copy
Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.
Proper citation: Kidney Precision Medicine Project (RRID:SCR_016920) Copy
https://picrust.github.io/picrust/
Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.
Proper citation: PICRUSt (RRID:SCR_016855) Copy
https://immunedb.readthedocs.io/en/latest/
Software system for storing and analyzing high throughput B and T cell immune receptor sequencing data. Comprised of web interface and of Python analysis tools to process raw reads for gene usage, infer clones, aggregate data, and run downstream analyses, or in conjunction with other AIRR tools using its import and export features.
Proper citation: ImmuneDB (RRID:SCR_017125) Copy
http://bioconductor.org/packages/CATALYST/
Software R package to provide pipeline for preprocessing of cytometry data, including normalization using bead standards, single cell deconvolution, and bead based compensation.
Proper citation: CATALYST (RRID:SCR_017127) Copy
Software tool as data and metadata repository of Extracellular RNA Communication Consortium. Atlas includes small RNA sequencing and qPCR derived exRNA profiles from human and mouse biofluids. All RNAseq datasets are processed using version 4 of exceRpt small RNAseq pipeline. Atlas accepts submissions for RNAseq or qPCR data.
Proper citation: exRNA Atlas (RRID:SCR_017221) Copy
http://grantome.com/grant/NIH/U01-DK099919-04S1
Consortium to design and conduct pilot and feasibility studies of novel therapies to reduce morbidity and mortality for patients treated with maintenance hemodialysis. Data Coordinating Center (DCC) for consortium provides scientific expertise and operational support for pilot studies that will be conducted at HDPSC Participating Clinical Centers. Data Coordinating Center for Hemodialysis Pilot Studies Consortium.
Proper citation: Hemodialysis Pilot Studies Consortium (RRID:SCR_017468) Copy
Multidisciplinary data generation project which aims to create and share multimodal dataset optimized for artificial intelligence research in type 2 diabetes. At each release of the AI-READI dataset, two sets will be made available: public access and controlled access set. The public set will be stripped of Protected Health Information (PHI) as well as information related to the sex and race/ethnicity of the participants.
Proper citation: AI-READI (RRID:SCR_027031) Copy
https://github.com/aametwally/Metabolic_Subphenotype_Predictor
Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes.
Proper citation: Metabolic Subphenotype Predictor (RRID:SCR_027192) Copy
https://repository.niddk.nih.gov/study/67
Clinical trial under the Urinary Incontinence Treatment Network to compare the treatment success for two surgical procedures that are frequently used and have similar cure rates, yet have not been compared directly to each other in a large, rigorously conducted randomized trial. The secondary aims of the trial are to compare other outcomes for the two surgical procedures, including quality of life, sexual function, satisfaction with treatment outcomes, complications, and need for other treatment(s) after surgery. Follow-up will be a minimum of two years and up to four years.
Proper citation: SISTEr (RRID:SCR_001542) Copy
https://github.com/compbiolabucf/PTNet
Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.
Proper citation: PTNet (RRID:SCR_022975) Copy
International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.
Proper citation: TEDDY (RRID:SCR_000383) Copy
Trans-NIH program encouraging and facilitating the study of the underlying mechanisms controlling blood vessel growth and development. Other aims include: to identify specific targets and to develop therapeutics against pathologic angiogenesis in order to reduce the morbidity due to abnormal blood vessel proliferation in a variety of disease states; to better understand the process of angiogenesis and vascularization to improve states of decreased vascularization; to encourage and facilitate the study of the processes of lymphangiogenesis; and to achieve these goals through a multidisciplinary approach, bringing together investigators with varied backgrounds and varied interests.
Proper citation: Trans-Institute Angiogenesis Research Program (RRID:SCR_000384) Copy
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