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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NIDDK Inflammatory Bowel Disease Genetics Consortium Resource Report Resource Website 1+ mentions |
NIDDK Inflammatory Bowel Disease Genetics Consortium (RRID:SCR_001461) | IBDGC, NIDDKIBDGC | material resource, cell repository, biomaterial supply resource | Repository of biospecimen and phenotype data collected from Crohn's disease and ulcerative colitis cases and controls recruited at six sites throughout North America that are available to the scientific community. Phenotyping is performed using a standardized protocol, and lymphoblastoid cell lines are established for each subject. Phenotype data for each subject are collected by the Consortium's Data Coordinating Center (DCC), and phenotype data for all subjects with DNA samples are available. The resulting DNA samples have already been utilized by the Consortium to complete various association studies, including genome-wide association studies using dense genotyping arrays. Researchers can obtain DNA samples and phenotype, genotype, and pedigree data through the Data Repository. GWAS data must be requested through dbGAP. The IBDGC is involved with independent genetic research studies and actively works with members of the IBD and genetic communities on collaborative projects. They are also members of the International IBD Genetics Consortium. Phenotype Tools: The Consortium Phenotype Committee, led by Dr. Hillary Steinhart designed and validated paper forms to collect extensive phenotype data on Crohn's Disease and ulcerative colitis. Consortium phenotype tools are available for use by non-Consortium members. | dna, cell line, serum, lymphocyte, lymphoblastoid cell line, gene, loci, genetic analysis, blood, phenotype, genome-wide association study, genotype, pedigree, metadata standard, genotyping array |
uses: NCBI database of Genotypes and Phenotypes (dbGap) is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) has parent organization: Yale School of Medicine; Connecticut; USA |
Inflammatory Bowel Disease, Crohn's disease, Ulcerative colitis, Control, Family member | NIDDK U01 DK062429 | Free, Freely Available | nlx_152706 | http://medicine.yale.edu/intmed/ibdgc/ | SCR_001461 | IBD Genetics Consortium, NIDDKIBD Genetics Consortium, Inflammatory Bowel Disease Genetic Consortium | 2026-02-12 09:43:09 | 1 | ||||
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Islet Cell Resource Centers Resource Report Resource Website 100+ mentions |
Islet Cell Resource Centers (RRID:SCR_002806) | ICR | material resource, cell repository, biomaterial supply resource | Group of 10 academic laboratories provide pancreatic islets of cGMP-quality to eligible investigators for use in FDA approved, IRB-approved transplantation protocols in which isolated human islets are transplanted into qualified patients afflicted with type 1 diabetes mellitus; optimize the harvest, purification, function, storage, and shipment of islets while developing tests that characterize the quality and predict the effectiveness of islets transplanted into patients with diabetes mellitus; and provide pancreatic islets for basic science studies. The centers are electronically linked through an Administrative and Bioinformatics Coordinating Center (ABCC). The ABCC manages a system with objectively defined criteria that establishes the order of priority for islet distribution. It also provides database and other informatics to track the utilization of pancreata and all distributed clinical grade islets for transplant and basic research, and supports the Islet Cell Resource Centers Consortium so that the research community has a single entry point to the program. Qualified researchers from domestic institutions may request islets by submitting a written application to the director of the ABCC. The ICRs will distribute Islets as appropriate for either clinical or basic science protocol use to eligible investigators who have received a favorable review and subsequent approval by the ICR Steering Committee (SC). The Administrative and Bioinformatics Coordinating Center (ABCC) manages the distribution according to a priority list. The ABCC will give preference to investigators who have peer-reviewed, NIH-funded research support. | pancreatic islet, clinical |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: NIDDK Information Network (dkNET) |
Type 1 diabetes, Diabetes | NIDDK ; Juvenile Diabetes Research Foundation International ; NCRR 1 U42 RR17673 |
Free, Freely available, Available for download | nif-0000-25418 | SCR_002806 | 2026-02-12 09:43:27 | 123 | ||||||
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Beta Cell Biology Consortium Resource Report Resource Website 50+ mentions |
Beta Cell Biology Consortium (RRID:SCR_005136) | BCBC | material resource, cell repository, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented on August 1, 2015. Consortium that aims to facilitate interdisciplinary collaborations to advance the understanding of pancreatic islet development and function, with the goal of developing innovative therapies to correct the loss of beta cell mass in diabetes, including cell reprogramming, regeneration and replacement. They are responsible for collaboratively generating the necessary reagents, mouse strains, antibodies, assays, protocols, technologies and validation assays that are beyond the scope of any single research effort. The scientific goals for the BCBC are to: * Use cues from pancreatic development to directly differentiate pancreatic beta cells and islets from stem / progenitor cells for use in cell-replacement therapies for diabetes, * Determine how to stimulate beta cell regeneration in the adult pancreas as a basis for improving beta cell mass in diabetic patients, * Determine how to reprogram progenitor / adult cells into pancreatic beta-cells both in-vitro and in-vivo as a mean for developing cell-replacement therapies for diabetes, and * Investigate the progression of human type-1 diabetes using patient-derived cells and tissues transplanted in humanized mouse models. Many of the BCBC investigator-initiated projects involve reagent-generating activities that will benefit the larger scientific community. The combination of programs and activities should accelerate the pace of major new discoveries and progress within the field of beta cell biology. | RIN, Resource Information Network, pancreatic islet, mouse, beta cell, pancreas, pancreatic development, embryonic stem cell, cell line, genomics, antibody, adenovirus, functional genomics, mouse embryonic stem cell line, mouse strain, protocol, embryonic stem cell line, data sharing, data set, gene expression, gene, pancreatic islet development, pancreatic islet function, basic science, basic research, cell reprogramming, cell regeneration, cell replacement, RRID Community Authority |
is used by: NIF Data Federation is used by: Integrated Animals is used by: NIDDK Information Network (dkNET) is listed by: One Mind Biospecimen Bank Listing is listed by: re3data.org is listed by: Consortia-pedia is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Resource Information Network is related to: dkCOIN is related to: Karolinska Institute; Stockholm; Sweden is related to: University of California at Los Angeles; California; USA is related to: Stanford University; Stanford; California is related to: University of Massachusetts Medical School; Massachusetts; USA is related to: Hebrew University Hadassah Medical School; Jerusalem; Israel is related to: Philipps-University Marburg; Marburg; Germany is related to: Imperial College London; London; United Kingdom is related to: Childrens Hospital of Philadelphia - Research Institute; Pennsylvania; USA is related to: Icahn School of Medicine at Mount Sinai; New York; USA is related to: University of California at San Francisco; California; USA is related to: Massachusetts Institute of Technology; Massachusetts; USA; is related to: Hadassah Medical Center; Jerusalem; Israel is related to: DanStem is related to: Oregon Health and Science University; Oregon; USA is related to: Vanderbilt University; Tennessee; USA is related to: University of Chicago; Illinois; USA is related to: University of Massachusetts; Massachusetts; USA is related to: University of Colorado Boulder; Colorado; USA is related to: Vrije Universiteit Brussel; Brussels; Belgium is related to: University of Geneva; Geneva; Switzerland is related to: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA is related to: McEwen Centre for Regenerative Medicine is related to: Seattle Childrens Research Institute; Washington; USA is related to: Columbia University; New York; USA is related to: University of Texas Southwestern Medical Center; Texas; USA is related to: Hagedorn Research Institute; Gentofte; Denmark is related to: Howard Hughes Medical Institute is related to: Northwestern University; Illinois; USA is related to: CAMRD is related to: French National Center for Scientific Research is related to: University of California at San Diego; California; USA is related to: University of Pittsburgh; Pennsylvania; USA is related to: University of Copenhagen; Copenhagen; Denmark is related to: Jackson Laboratory is related to: Max Planck Institute for Heart and Lung Research; Bad Nauheim; Germany is related to: Indiana University; Indiana; USA is related to: University of Toronto; Ontario; Canada is related to: Harvard University; Cambridge; United States is related to: Harvard Medical School; Massachusetts; USA is related to: Integrated Manually Extracted Annotation has parent organization: Vanderbilt University; Tennessee; USA is parent organization of: Beta Cell Genomics Ontology |
Type 1 diabetes, Diabetes | NIDDK DK-01-014; NIDDK DK-01-17; NIDDK DK-01-18; NIDDK DK-09-011 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144143 | SCR_005136 | 2026-02-12 09:44:03 | 59 | ||||||
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Machine Learning Made Easy Resource Report Resource Website 1+ mentions |
Machine Learning Made Easy (RRID:SCR_024439) | MLme | software toolkit, software resource | Software toolkit for Machine Learning Driven Data Analysis. Simplifies machine learning for data exploration, visualization and analysis. | Machine Learning Driven Data Analysis, | Wings for Life Spinal Cord Research Foundation ; NIDDK R01 DK127673; Federal Ministry of Education and Research of Germany ; Swiss National Science Foundation |
PMID:37461685 | Free, Available for download, Freely available | SCR_024439 | 2026-02-12 09:48:16 | 1 | ||||||||
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Diabetic Complications Consortium Resource Report Resource Website 100+ mentions |
Diabetic Complications Consortium (RRID:SCR_001415) | DiaComp | tissue bank, material resource, biomaterial supply resource | Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research. | diabetes, antibody, animal model, assay, experiment, histology, protocol, strain, phenotype, metabolic, cardiovascular, image, data set, community building portal, consortium, FASEB list |
is used by: NIF Data Federation is used by: NIDDK Information Network (dkNET) is listed by: NIDDK Information Network (dkNET) is listed by: One Mind Biospecimen Bank Listing is related to: dkCOIN has parent organization: Augusta University; Georgia; USA |
Diabetes, Diabetic complication, Nephropathy, Neuropathy, Retinopathy, Wound healing, Cardiomyopathy, Uropathy | NIDDK ; JDRF |
Free, Freely Available | nlx_152636 | http://www.amdcc.org/ | SCR_001415 | Animal Models of Diabetic Complications Consortium, AMDCC | 2026-02-12 09:43:09 | 229 | ||||
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Genotype-IBD Sharing Test Resource Report Resource Website 100+ mentions |
Genotype-IBD Sharing Test (RRID:SCR_006257) | GIST | resource, software application, software resource | Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix. | identical by descent, genotype, gene, genetic, genomic, unix, ms-windows, linux, linkage disequilibrium, linkage, association |
is listed by: Genetic Analysis Software has parent organization: Vanderbilt University; Tennessee; USA |
Vanderbilt Diabetes Center ; NHGRI HG00376; NIDDK DK62370; NHGRI N01-HG-15465 |
PMID:14872409 | nlx_154133 | http://phg.mc.vanderbilt.edu/content/gist | SCR_006257 | 2026-02-12 09:44:20 | 120 | ||||||
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Digestive Diseases Statistics for the United States Resource Report Resource Website |
Digestive Diseases Statistics for the United States (RRID:SCR_006703) | Digestive Diseases Statistics for the United States | data or information resource, resource | A collection of statistics about specific digestive diseases, including prevalence, mortality, care delivery and cost. | epidemiology, prevalence, mortality, care delivery, cost, statistics, ambulatory care visit, hospitalization, inpatient procedure, surgical procedure |
is related to: NIDDK Information Network (dkNET) has parent organization: National Digestive Diseases Information Clearinghouse |
Digestive disease, Viral Hepatitis, Hepatitis B, Hepatitis A, Hepatitis C, Peptic Ulcer Disease, Pancreatitis, Liver disease, Irritable Bowel Syndrome, Ulcerative colitis, Hemorrhoid, Gastrointestinal infection, Gastroesophageal reflux disease, Gallstone, Diverticular disease, Chronic constipation, Abdominal wall hernia | NIDDK | nlx_152697 | SCR_006703 | Digestive Diseases in the United States: Epidemiology and Impact | 2026-02-12 09:44:17 | 0 | ||||||
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SigCom LINCS Resource Report Resource Website 1+ mentions |
SigCom LINCS (RRID:SCR_022275) | software resource, web service, data access protocol | Web server that serves over million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. Data and metadata search engine for gene expression signatures. | FAIR data, data and metadata search engine, gene expression signatures, gene expression signature processed, analyzed, and visualized, LINCS, GTEx, GEO, gene expression signatures, | NHLBI U54HL127624; NIDDK R01DK131525; NIH Office of the Director OT2OD030160 |
PMID:35524556 | Free, Freely available | https://github.com/MaayanLab/sigcom-lincs | SCR_022275 | SigCom Library of Integrated Network-based Cellular Signatures | 2026-02-12 09:47:33 | 7 | |||||||
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SpiecEasi Resource Report Resource Website 10+ mentions |
SpiecEasi (RRID:SCR_022712) | SpiecEasi | software resource, software application, data analysis software, data processing software | Software R package for microbiome network analysis. Used for inference of microbial ecological networks from amplicon sequencing datasets. Combines data transformations developed for compositional data analysis with graphical model inference framework that assumes underlying ecological association network is sparse. | microbiome network analysis, amplicon sequencing datasets, microbial ecological networks inference | NIAID AI007180; NIDDK DK103358; NIGMS GM63270; Simons Foundation |
PMID:25950956 | Free, Available for download, Freely available | SCR_022712 | SParse InversE Covariance Estimation for Ecological Association Inference | 2026-02-12 09:47:43 | 15 | |||||||
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PICRUSt2 Resource Report Resource Website 100+ mentions |
PICRUSt2 (RRID:SCR_022647) | simulation software, software application, software resource | Software for predicting functional abundances based only on marker gene sequences.Used for prediction of metagenome functions. Contains updated and larger database of gene families and reference genomes, provides interoperability with any operational taxonomic unit (OTU)-picking or denoising algorithm, and enables phenotype predictions. Allows addition of custom reference databases. | predicting functional abundances, marker gene sequences, metagenome functions prediction | is related to: PICRUSt | NSF IOS CAREER 1942647; NIDDK U54DK102557; NIDDK R24DK110499; NSERC ; GlaxoSmithKline |
PMID:32483366 | Free, Available for download, Freely available | https://github.com/picrust/picrust2 | SCR_022647 | Phylogenetic Investigation of Communities by Reconstruction of Unobserved States | 2026-02-12 09:48:06 | 368 | ||||||
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University of Chicago Digestive Diseases Research Core Center Resource Report Resource Website 1+ mentions |
University of Chicago Digestive Diseases Research Core Center (RRID:SCR_015601) | DDRCC | data or information resource, portal, training resource, organization portal | Center whose goals include fostering collaboration among basic and clinical investigators, facilitating the use of new technologies in the study of treatment of digestive diseases, and providing education and training for improved treatment and diagnosis. | DDRCC, digestive disease, uchicago |
is listed by: NIDDK Information Network (dkNET) is parent organization of: University of Chicago Digestive Diseases Research Core Center Integrated Translational Research Core is parent organization of: University of Chicago Digestive Diseases Research Core Center Administrative Core is parent organization of: University of Chicago Digestive Diseases Research Core Center Host-Microbe Core is parent organization of: University of Chicago Digestive Diseases Research Core Center Tissue and Cell Imaging Core is parent organization of: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core has organization facet: University of Chicago Digestive Diseases Research Core Center Administrative Core has organization facet: University of Chicago Digestive Diseases Research Core Center Integrated Translational Research Core has organization facet: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core has organization facet: University of Chicago Digestive Diseases Research Core Center Host-Microbe Core has organization facet: University of Chicago Digestive Diseases Research Core Center Tissue and Cell Imaging Core is organization facet of: Digestive Disease Centers |
digestive disease | NIDDK P30 DK042086 | Available to the research community | SCR_015601 | 2026-02-12 09:46:16 | 1 | |||||||
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Diabetes Prevention Program Resource Report Resource Website |
Diabetes Prevention Program (RRID:SCR_001501) | DPP | bibliography, database, data or information resource, clinical trial, resource | Multicenter clinical research study aimed at discovering whether modest weight loss through dietary changes and increased physical activity or treatment with the oral diabetes drug metformin (Glucophage) could prevent or delay the onset of type 2 diabetes in study participants. At the beginning of the DPP, all 3,234 study participants were overweight and had blood glucose levels higher than normal but not high enough for a diagnosis of diabetesa condition called prediabetes. In addition, 45 percent of the participants were from minority groups-African American, Alaska Native, American Indian, Asian American, Hispanic/Latino, or Pacific Islander-at increased risk of developing diabetes. The DPP found that participants who lost a modest amount of weight through dietary changes and increased physical activity sharply reduced their chances of developing diabetes. Taking metformin also reduced risk, although less dramatically. In the DPP, participants from 27 clinical centers around the United States were randomly divided into different treatment groups. The first group, called the lifestyle intervention group, received intensive training in diet, physical activity, and behavior modification. By eating less fat and fewer calories and exercising for a total of 150 minutes a week, they aimed to lose 7 percent of their body weight and maintain that loss. The second group took 850 mg of metformin twice a day. The third group received placebo pills instead of metformin. The metformin and placebo groups also received information about diet and exercise but no intensive motivational counseling. A fourth group was treated with the drug troglitazone (Rezulin), but this part of the study was discontinued after researchers discovered that troglitazone can cause serious liver damage. The participants in this group were followed but not included as one of the intervention groups. In the years since the DPP was completed, further analyses of DPP data continue to yield important insights into the value of lifestyle changes in helping people prevent type 2 diabetes and associated conditions. For example, one analysis confirmed that DPP participants carrying two copies of a gene variant, or mutation, that significantly increased their risk of developing diabetes benefited from lifestyle changes as much as or more than those without the gene variant. Another analysis found that weight loss was the main predictor of reduced risk for developing diabetes in DPP lifestyle intervention group participants. The authors concluded that diabetes risk reduction efforts should focus on weight loss, which is helped by increased exercise. | prevention, lifestyle, metformin, intervention, dietary change, physical activity, minority, african-american, alaska native, american indian, asian american, hispanic, latino, pacific islander, male, female, slide, adult human, late adult human, dna |
is listed by: ClinicalTrials.gov is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Central Repository has parent organization: George Washington University; Washington D.C.; USA |
Type 2 diabetes, Prediabetes, Overweight, Non-insulin-dependent diabetes mellitus | NIDDK 1ZIADK075078-04 | Free, Freely available | nlx_152799 | SCR_001501 | 2026-02-12 09:43:10 | 0 | ||||||
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TIGER Data Portal Resource Report Resource Website 10+ mentions |
TIGER Data Portal (RRID:SCR_023626) | data or information resource, portal, disease-related portal, topical portal | Resource enables integrative exploration of genetic and epigenetic basis of development of Type 2 Diabetes, together with other associated functional, molecular and clinical data, centered in biology and role of pancreatic beta cells.The gene expression regulatory variation landscape of human pancreatic islets. | Type 2 Diabetes, genetic and epigenetic, functional data, molecular data, clinical data, pancreatic beta cells. | is related to: T2DSystems | Type 2 Diabetes | European Union Horizon 2020 ; Spanish government ; Swiss State Secretariat for Education‚ Research and Innovation ; American Diabetes Association Innovative and Clinical Translational Award ; Research England ; Wellcome Trust ; NIDDK U01 DK105535; NIDDK U01 DK085545 |
PMID:34644572 | SCR_023626 | Translational Human Pancreatic Islet Genotype Tissue-Expression Resource | 2026-02-12 09:47:41 | 18 | |||||||
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Urinary Stone Disease Research Network Resource Report Resource Website |
Urinary Stone Disease Research Network (RRID:SCR_019059) | USDRN | data or information resource, portal, disease-related portal, topical portal | Portal for research on urinary stones in adults and children in order to learn more about who forms kidney stones, treatments and prevention. Network comprises of experts including adult and pediatric urologists, adult and pediatric nephrologists, pediatricians, emergency department physicians, clinical trialists, nutritionists, behavioral scientists, and radiologists. Duke Clinical Research Institute is Scientific Data Research Center and with clinical sites including University of Pennsylvania Children Hospital of Philadelfia, University of Texas Southwestern Medical Center, University of Washington, Washington University in St. Louis, work together in planning, executing, and analyzing results from USDRN studies. | Urinary stone, kidney stone, kidney, treatment, prevention, urologist, nephrologist, pediatrician, clinical trial, data |
is related to: Duke University School of Medicine; North Carolina; USA is related to: University of Pennsylvania; Philadelphia; USA is related to: University of Texas System; Texas; USA is related to: Washington University in St. Louis; Missouri; USA is related to: University of Washington; Seattle; USA |
Kidney stones | NIH ; NIDDK |
Free, Freely available | SCR_019059 | 2026-02-12 09:47:08 | 0 | |||||||
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Motif Mutation Analysis for Regulatory Genomic Elements Resource Report Resource Website 500+ mentions |
Motif Mutation Analysis for Regulatory Genomic Elements (RRID:SCR_021902) | MMARGE | software toolkit, software resource, software application, data analysis software, data processing software | Software package that integrates genome wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. Optimized to work with chromatin accessibility assays such as ATAC-seq or DNase I hypersensitivity, as well as transcription factor binding data collected by ChIP-seq. Used to identify combinations of cell type specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation. | genome wide genetic variation, epigenetic data, identify collaborative transcription factor pairs, interpreting functional effects, non-coding genetic variation | NCI CA173903; NIGMS GM085764; NIDDK DK091183; NHLBI R00 123485 |
PMID:29893919 | Free, Available for download, Freely available | SCR_021902 | 2026-02-12 09:47:17 | 608 | ||||||||
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FunGene Resource Report Resource Website 10+ mentions |
FunGene (RRID:SCR_018749) | analysis service resource, software toolkit, software resource, data repository, service resource, production service resource, storage service resource, database, data or information resource | Functional gene pipeline and repository. Functional gene repository provides collections of genes in interactive platform, while functional gene pipeline offers suite of tools for functional gene amplicon processing and analysis. Together they enable key steps in functional gene based microbial community analysis, from target selection and primer analysis to amplicon processing and ecological discovery. | Gene processing, microbial ecology, functional genes, amplification primers, phylogeny, biogeochemical cycles, amplicon analysis, ecological discovery, microbial community | has parent organization: Michigan State University; Michigan; USA | NIEHS P42 ES004911; USDA National Institute of Food and Agriculture ; NIDDK UH3 DK083993; Office of Science U.S. Department of Energy ; NIEHS |
PMID:24101916 | Free, Freely available | SCR_018749 | FunGene Pipeline | 2026-02-12 09:47:36 | 42 | |||||||
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Diabetic Foot Consortium Resource Report Resource Website |
Diabetic Foot Consortium (RRID:SCR_018914) | DFC | organization portal, topical portal, consortium, disease-related portal, data or information resource, portal | Group of academic institutions committed to studying diabetic foot conditions, such as foot ulcers and wound healing, to develop predictive biomarkers which can be later used to create better treatment plans and improve health and quality of life for people living with diabetes. | Academic institution group, diabetic, diabetic foot, diabetic foot condition, foot ulcer, wound healing, biomarker |
is related to: Indiana University; Indiana; USA is related to: University of Pittsburgh; Pennsylvania; USA is related to: University of Miami; Florida; USA is related to: University of California at San Francisco; California; USA is related to: Stanford University; Stanford; California is related to: University of Michigan; Ann Arbor; USA |
diabetic | NIDDK | SCR_018914 | 2026-02-12 09:47:07 | 0 | ||||||||
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exRNA Atlas Resource Report Resource Website 10+ mentions |
exRNA Atlas (RRID:SCR_017221) | analysis service resource, expression atlas, organization portal, data access protocol, software resource, data repository, service resource, application programming interface, production service resource, database, storage service resource, atlas, consortium, data analysis service, data or information resource, portal, ontology, controlled vocabulary | 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. | Differential, expression, RNA, sequencing, qPCR, data, visualization, extracellular, exRNA, atlas, repository, dataset |
is recommended by: National Library of Medicine has parent organization: Baylor College of Medicine; Houston; Texas has parent organization: exRNA |
gastric cancer, colon carcinoma, colorectal cancer, prostate carcinoma, pancreatic carcinoma, multiple sclerosis, glioblastoma multiforme, ulcerative colitis, Alzheimer's disease, ischemic stroke, intraparenchymal hemorrhage of brain, asthma, cardiovascular disorder, myocardial infarction, lupus, nephrotic syndrome, transplanted kidney present, liver disease, transplanted liver present, pre-eclampsia, Parkinson disease, intraventricular brain hemorrhage, subarachnoid hemorrhage | NIDA U54 DA036134; NCI R01 CA163849; NIGMS R25 GM056929; NCATS UH3 TR000906; NCI U19 CA179512; NIDDK P30 DK63720; NHLBI K23 HL127099; NHLBI R01 HL136685; NIA R01 AG059729; NCATS UH3 TR000943; NCI R35 CA209904; NCI CA217685; NHLBI R01 HL122547; American Cancer Society ResearchProfessor Award ; Frank McGraw Memorial Chair in CancerResearch |
PMID:30951672 | Restricted | SCR_017221 | 2026-02-12 09:46:50 | 24 | |||||||
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Hemodialysis Pilot Studies Consortium Resource Report Resource Website |
Hemodialysis Pilot Studies Consortium (RRID:SCR_017468) | HDPSC | data or information resource, portal, consortium, organization portal | 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. | Novel, therapy, reduce, morbidity, patient, maintenance, hemodialysis, data, coordinating, center | has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA | NIH ; NIDDK |
SCR_017468 | 2026-02-12 09:46:53 | 0 | |||||||||
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Nuclear Receptor Signaling Atlas Resource Report Resource Website 100+ mentions |
Nuclear Receptor Signaling Atlas (RRID:SCR_003287) | NURSA | material resource, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP). | nuclear receptor, coregulator, metabolism, metabolic disorder, type 2 diabetes, obesity, osteoporosis, lipid dysregulation, cardiovascular disease, oncology, regenerative medicine, environmental agent, genomics, proteomics, reagent, ligand, microarray, gene expression, data set, data analysis service, nuclear receptor signaling, signaling, high through put screening, receptor, ligand, journal, molecule, affinity purification, q-pcr, chip-chip, animal model, antibody, cell line, primer, transcriptomine, clinical trial, disease, drug, data set |
is used by: NIF Data Federation is used by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine lists: NURSA Transcriptomine lists: STRING lists: Nuclear Receptor Cistrome is listed by: NIH Data Sharing Repositories is listed by: NIDDK Research Resources is listed by: NIDDK Information Network (dkNET) is related to: dkCOIN is related to: Integrated Manually Extracted Annotation has parent organization: Baylor College of Medicine; Houston; Texas |
Metabolic disorder, Type 2 diabetes mellitus, Obesity, Osteoporosis, Lipid dysregulation, Cardiovascular disease, Diabetes, Cancer | NHLBI ; NIEHS ; NICHD ; NIDDK DK097748 |
DOI:10.1101/401729 | Free, Freely available | nif-0000-03208 | https://dknet.org/about/NURSA_Archive | http://www.nursa.org | SCR_003287 | NURSA - Nuclear Receptor Signaling Atlas, NURSA - The Nuclear Receptor Signaling Atlas | 2026-02-12 09:43:34 | 135 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
