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http://depts.washington.edu/cfrtc/genomics/

Core provides genomics-based tools, data management and analysis tools, and creates platforms that integrate data from the Clinical and Immunology Cores for human samples and bacterial isolates. Services include consultation and experimental design assistance for using new-generation sequencing technology, data analysis, bioinformatic support, data access and storage, high throughput and new-generation whole-genome sequencing, and RNA-seq analysis of transcriptomes.

Proper citation: University of Washington Genomics Core Cystic Fibrosis Research Translation Center and Research Development Program (RRID:SCR_015404) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/gtp/immunology.shtml

Core facility which provides a variety of assay services to evaluate cell-mediated and humoral responses to in animal models of gene therapies.

Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis Immunology Core (RRID:SCR_015409) Copy   

•   Source: SciCrunch Registry

https://medicine.uiowa.edu/genetherapy/research-cores/cells-and-tissue-core

Core that provides centralized access to non-cystic fibrosis and cystic fibrosis tissue specimens and airway cells used for model systems to assess gene transfer to the airway and pathophysiology in cystic fibrosis.

Proper citation: University of Iowa Center for Gene Therapy Cell Tissue Core (RRID:SCR_015410) Copy   

•   Source: SciCrunch Registry

https://nyonrc.cumc.columbia.edu/content/animal-phenotyping-core

Core that allows investigators to efficiently and cost effectively define the phenotypes of small rodents in ways that are relevant to the study of obesity, nutrition, and metabolism. Its services range from whole animal measurements of body composition and energy utilization, to ex vivo measurements of substrate fluxes, to histological analyses of adipose tissue.

Proper citation: New York Obesity Nutrition Research Center Animal Phenotyping Core (RRID:SCR_015414) Copy   

•   Source: SciCrunch Registry

http://www2.bsc.gwu.edu/bsc/oneproj.php?pkey=28

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Collect, store, and distribute genetic samples from cases and controls of type 1 diabetes and diabetic nephropathy for investigator-driven research into the genetic basis of diabetic nephropathy. As the risk of kidney complications in type 1 diabetes appears to have a considerable genetic component, this study assembled a large data resource for researchers attempting to identify causative genetic variants. The types of data collected allowed traditional case-control testing, a rapid and often powerful approach, and family-based analysis, a robust approach that is not influenced by population substructure.

Proper citation: Genetics of Kidneys in Diabetes (RRID:SCR_000133) Copy   

•   Source: SciCrunch Registry

http://www2.niddk.nih.gov/NR/rdonlyres/8E99FCF4-8A92-43EE-8E47-5B70D634938A/0/AUABPH.pdf

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Adapted from the American Urology Association Symptom Score for Benign Prostatic Hyperplasia, this chart will assist physicians, researchers, and patients in assessing the severity of the problem.

Proper citation: Symptom Score for Benign Prostatic Hyperplasia (RRID:SCR_000127) Copy   

•   Source: SciCrunch Registry

http://www.utsouthwestern.edu/labs/acute-liver/

Clinical research network for gathering prospective data and bio-samples on acute liver failure in adults since 1998. Clinical histories and laboratory and outcome data are available. Sample types include serum, plasma, urine, DNA, and liver tissue.

Proper citation: Acute Liver Failure Study Group (RRID:SCR_001463) Copy   

•   Source: SciCrunch Registry

https://aireadi.org

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   

•   Source: SciCrunch Registry

https://www.researchallofus.org

Portal stores health data from participants from across the United States. Provides interactive Data Browser where anyone can learn about the type and quantity of data that All of Us collects. Users can explore aggregate data including genomic variants, survey responses, physical measurements, electronic health record information, and wearables data.

Proper citation: All of Us (RRID:SCR_027032) Copy   

•   Source: SciCrunch Registry

http://rarediseasesnetwork.epi.usf.edu/porphyrias/

A consortium which includes five of the leading porphyria centers in the United States that provide expertise and experience in the diagnosis and treatment of patients with porphyria. The staff in each Center includes porphyria physicians, researchers, research coordinators, and technical/laboratory staff. Together with the American Porphyria Foundation, the Porphyrias Consortium enables a large scale collaborative effort to develop strategies and methods for diagnosis, treatment, and prevention of illness and disability resulting from these rare disorders.

Proper citation: Porphyria Consortium (RRID:SCR_014379) Copy   

•   Source: SciCrunch Registry

http://www.ckdbiomarkersconsortium.org/

A consortium which aims to promote the discovery and validation of biomarkers to advance the field of CKD research. The NIDDK CKD Biomarkers Consortium brings together investigators whose expertise includes clinical nephrology, epidemiology, molecular biology, genomics, proteomics, metabolomics, systems biology, laboratory medicine, biostatistics, and laboratory test verification and qualification.

Proper citation: CKD Biomarkers Consortium (RRID:SCR_014381) Copy   

•   Source: SciCrunch Registry

https://t1dexchange.org/pages/

Provides access to resources T1D researchers need to conduct clinical studies. Data sets from their clinic registry is openly available, as are new study results. They also offer use of T1D Discovery Tool, which allows users to search different fields from registry data, and T1D Exchange Biobank, which offers specimen types such as serum, plasma, white blood cells, DNA, and RNA.

Proper citation: T1D Exchange (RRID:SCR_014532) Copy   

•   Source: SciCrunch Registry

http://www.gudmap.org/euregene/pages/about_us.htm

A European organization primarily concerned with the study of renal disorders. The organization is working towards discovering the genes responsible for renal development, renal disease and the related proteins and their actions. EuReGene consists of a consortium of scientists, clinicians, and SME partners that study functional genomics and their application in kidney research.

Proper citation: EuReGene (RRID:SCR_014516) Copy   

•   Source: SciCrunch Registry

http://scgap.systemsbiology.net/project_description.php

A research organization which aims to conduct a variety of stem cell research projects. These projects include: to CD phenotype the human prostate and bladder using a confocal microscopy, to CD the phenotype of the mouse prostate and bladder, to profile samples of basal and stromal cells using uncultured cells, to confirm cell-type specific expression of genes that were identified by array analysis, and to create a database with the resulting database.

Proper citation: Stem Cell Genome Anatomy Projects (RRID:SCR_014517) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/

NLM collects, organizes, and makes available biomedical science information to scientists, health professionals, and the public. The Library's Web-based databases, including PubMed/Medline and MedlinePlus, are used extensively around the world. NLM conducts and supports research in biomedical communications; creates information resources for molecular biology, biotechnology, toxicology, and environmental health; and provides grant and contract support for training, medical library resources, and biomedical informatics and communications research. Celebrating its 175th anniversary in 2011, the National Library of Medicine (NLM), in Bethesda, Maryland, is a part of the National Institutes of Health, U.S. Department of Health and Human Services (HHS). Since its founding in 1836 as the library of the U.S. Army Surgeon General, NLM has played a pivotal role in translating biomedical research into practice. It is the world's largest biomedical library and the developer of electronic information services that deliver trillions of bytes of data to millions of users every day. Scientists, health professionals, and the public in the United States and around the globe search the Library's online information resources more than 1 billion times each year. The Library is open to all and has many services and resources for scientists, health professionals, historians, and the general public. NLM has over 17 million books, journals, manuscripts, audiovisuals, and other forms of medical information on its shelves, making it the largest health-science library in the world. In today's increasingly digital world, NLM carries out its mission of enabling biomedical research, supporting health care and public health, and promoting healthy behavior by: * Acquiring, organizing, and preserving the world's scholarly biomedical literature; * Providing access to biomedical and health information across the country in partnership with the 5,800-member National Network of Libraries of Medicine (NN/LM); * Serving as a leading global resource for building, curating and providing sophisticated access to molecular biology and genomic information, including those from the Human Genome Project and NIH Common Fund; * Creating high-quality information services relevant to toxicology and environmental health, health services research, and public health; * Conducting research and development on biomedical communications systems, methods, technologies, and networks and information dissemination and utilization among health professionals, patients, and the general public; * Funding advanced biomedical informatics research and serving as the primary supporter of pre- and post-doctoral research training in biomedical informatics at 18 U.S. universities.

Proper citation: National Library of Medicine (RRID:SCR_011446) Copy   

•   Source: SciCrunch Registry

http://cdmrp.army.mil/

Fund the best research to eradicate diseases and support the warfighter to benefit the American Public. They promote innovative research, recognizing untapped opportunities, creating partnerships, and guarding the public trust. Research Program topics include: * Amyotrophic Lateral Sclerosis * Autism * Bone Marrow Failure * Breast Cancer * Defense Medical Research and Development Program * Duchenne Muscular Dystrophy * Gulf War Illness * Lung Cancer * Multiple Sclerosis * Neurofibromatosis * Ovarian Cancer * Peer Reviewed Cancer * Peer Reviewed Medical * Peer Reviewed Orthopaedic * Prostate Cancer * Psychological Health / Traumatic Brain Injury * Spinal Cord Injury * Tuberous Sclerosis Complex

Proper citation: Congressionally Directed Medical Research Program (RRID:SCR_006456) Copy   

•   Source: SciCrunch Registry

http://kidney.niddk.nih.gov/statistics/uda/

A report incorporating current and retrospective data on all aspects of the epidemiology, practice patterns, costs, and impact of urologic diseases in the United States and is intended for use by public officials, nongovernment organizations, the media, academic researchers, health professionals, and the public. The UDA compendium consists of data tables annotated in chapters that amplify the data analyses. The objectives of the UDA project include: secondary data analyses of: changes in the overall healthcare burden for individual urologic diseases, in physician practice patterns for each urologic disease, and in demographics of persons with urologic disease, the impact of specific urologic diseases, especially diseases of the prostate, on the minority populations of the U.S., and documentation of new and evolving therapies for urologic disease and their cost.

Proper citation: Urologic Diseases in America (RRID:SCR_006644) Copy   

•   Source: SciCrunch Registry

http://string.embl.de/

Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)

Proper citation: STRING (RRID:SCR_005223) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ipd/mhc

The IPD - MHC Database provides a centralized repository for sequences of the major histocompatibility complex from a number of different species. Through a number of international collaborations IPD is able to provide the MHC sequences of different species. The sequences provided by each group are curated by experts in the field and then submitted to the central database.

Proper citation: IPD-MHC- Major Histocompatibility Complex (RRID:SCR_007749) Copy   

•   Source: SciCrunch Registry

http://ods.od.nih.gov/Research/CARDS_Database.aspx

Database of federally funded research projects pertaining to dietary supplements. CARDS contains projects funded by the United States Department of Agriculture (USDA), the Department of Defense (DOD) and the Institutes and Centers (ICs) of the National Institutes of Health (NIH) beginning with fiscal year 1999, the first year that NIH ICs began reporting research related to dietary supplements. Projects funded by other Federal agencies will be added to CARDS as they become available. The Office of Dietary Supplements (ODS) will post notices on its website and listserv when CARDS updates are completed. Codes assigned to each research project allow the CARDS user to identify: * research related to specific dietary supplement ingredients; for example, vitamin E or St. John''''s wort * the type of study; for example, a Phase III study or an animal study * health outcomes or biological effects; for example, osteoporosis or antioxidant function * whether the research is directly related or indirectly related to dietary supplements. For example, a clinical trial comparing bone density in women given a daily calcium supplement versus a placebo would be classified as directly related to dietary supplements. A study examining the activation of steroid hormone receptors by supplemental vitamin D in cell culture would be classified as indirectly related to dietary supplements because the direct physiological or health effects of vitamin D supplementation are not being studied. A search of the CARDS database can be used to sort and tabulate information for a variety of purposes. For example, a researcher may want to know which ICs at the NIH fund research on herbal supplement ingredients. A consumer may want to know if the Federal government is supporting research on a popular dietary supplement ingredient such as vitamin C.

Proper citation: CARDS Database (RRID:SCR_009011) Copy   

•   Source: SciCrunch Registry