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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Kidney Interactive Transcriptomics Resource Report Resource Website 50+ mentions |
Kidney Interactive Transcriptomics (RRID:SCR_017209) | KIT | production service resource, data or information resource, analysis service resource, service resource | Software tool as analyzer for kidney single cell datasets. Allows users to query gene expression from mouse or human kidney and human kidney organoid single cell datasets. For details about datasets visit ReBuilding a Kidney website. | Analyzer, kidney, single, cell, dataset, gene, expression, mouse, human, organoid | Free, Freely available | https://www.rebuildingakidney.org/ | SCR_017209 | 2026-08-12 10:51:45 | 99 | |||||||||
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Genetics of Kidneys in Diabetes Resource Report Resource Website |
Genetics of Kidneys in Diabetes (RRID:SCR_000133) | GoKinD, Go KinD | biomaterial supply resource, material resource | 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. | clinical, genetics, genetic variant, gene, data set |
is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) has parent organization: George Washington University; Washington D.C.; USA |
Type 1 diabetes, Diabetes, Diabetic nephropathy, Kidney disease | JDRF ; NIH |
PMID:16775037 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152764 | http://www.gokind.org/access | SCR_000133 | Genetics of Kidneys in Diabetes (GoKinD) Study, Genetics of Kidneys in Diabetes Study | 2026-08-11 09:40:06 | 0 | |||
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Kidney and Urinary Pathway Knowledge Base Resource Report Resource Website 1+ mentions |
Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) | KUPKB | service resource, data or information resource, production service resource, data set, data repository, analysis service resource, storage service resource, data analysis service | A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made. | kidney, urinary, urine, pathway, molecule, visualizer, gene, protein, mirna, metabolite, mrna, microarray, ortholog, rdf, renal cell, anatomy, animal model, disease, sparql, proteomics, ontology, biomarker, gene expression, physiology, pathology |
is related to: NIDDK Information Network (dkNET) is related to: Gene Expression Omnibus is related to: Gene Ontology is related to: KEGG has parent organization: University of Manchester; Manchester; United Kingdom has parent organization: National Institute of Health and Medical Research; Rennes; France |
Kidney disease | European Union ; FP7 ; ICT-2007.4.4 e-LICO project |
PMID:21624162 | THIS RESOURCE IS NO LONGER IN SERVICE. | nlx_154134 | http://www.e-lico.eu/kupkb | SCR_001746 | Kidney & Urinary Pathway Knowledge Base | 2026-08-12 10:48:27 | 2 | |||
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Autosomal Recessive Polycystic Kidney Disease Mutation Database Resource Report Resource Website 10+ mentions |
Autosomal Recessive Polycystic Kidney Disease Mutation Database (RRID:SCR_002290) | service resource, data or information resource, database, data repository, storage service resource | Catalog of all changes detected in PKHD1 (Polycystic Kidney and Hepatic Disease 1) in a locus specific database. Investigators are invited to submit their novel data to this database. These data should be meaningful for clinical practice as well as of relevance for the reader interested in molecular aspects of polycystic kidney disease (PKD). There are also some links and information for ARPKD patients and their parents. Autosomal recessive polycystic kidney disease (ARPKD/PKHD1) is an important cause of renal-related and liver-related morbidity and mortality in childhood. This study reports mutation screening in 90 ARPKD patients and identifies mutations in 110 alleles making up a detection rate of 61%. Thirty-four of the detected mutations have not been reported previously. Two underlying mutations in 40 patients and one mutation in 30 cases are disclosed, and no mutation was detected on the remaining chromosomes. Mutations were found to be scattered throughout the gene without evidence of clustering at specific sites. PKHD1 mutation analysis is a powerful tool to establish the molecular cause of ARPKD in a given family. Direct identification of mutations allows an unequivocal diagnosis and accurate genetic counseling even in families displaying diagnostic challenges. | clinical, gene, genetic, mutation, protein, recessive, renal | has parent organization: RWTH Aachen University; Aachen; Germany | Autosomal recessive polycystic kidney disease, Polycystic kidney disease | PMID:16199545 PMID:11919560 |
Permission required, Terms of use | nif-0000-21038 | http://www.humgen.rwth-aachen.de/index.asp?subform=database.html&nav=database_nav.html | SCR_002290 | Mutation Database Autosomal Recessive Polycystic Kidney Disease (ARPKD/PKHD1) | 2026-08-12 10:48:34 | 14 | |||||
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AASK Clinical Trial and Cohort Study Resource Report Resource Website |
AASK Clinical Trial and Cohort Study (RRID:SCR_006985) | AASK Cohort Study | research forum portal, portal, data or information resource, clinical trial, disease-related portal, topical portal, resource | Clinical trial investigating whether a specific class of antihypertensive drugs (beta-adrenergic blockers, calcium channel blockers, or angiotensin converting enzyme inhibitors) and/or the level of blood pressure would influence progression of hypertensive kidney disease in African Americans. The initiative consisting of 21 clinical centers and a data-coordinating center is followed by a Continuation of AASK Cohort Study to investigate the environmental, socio-economic, genetic, physiologic, and other co-morbid factors that influence progression of kidney disease in a well-characterized cohort of African Americans with hypertensive kidney disease. Only patients who were previously in the randomized trial are eligible for the cohort study. A significant discovery was made in the treatment strategy for slowing kidney disease caused by hypertension. Angiotensin-converting enzyme (ACE) inhibitors, compared with calcium channel blockers, were found to slow kidney disease progression by 36 percent, and they drastically reduced the risk of kidney failure by 48 percent in patients who had at least one gram of protein in the urine, a sign of kidney failure. ACE inhibitors have been the preferred treatment for hypertension caused by diabetes since 1994; however, calcium channel blockers have been particularly effective in controlling blood pressure in African Americans. The AASK study now recommends ACE inhibitors to protect the kidneys from the damaging effects of hypertension. The Continuation of AASK Cohort Study will be followed at the clinical centers. The patients will be provided with the usual clinical care given to all such patients at the respective centers. Baseline demographic information, selected laboratory tests, and other studies are being obtained at the initiation of the Continuation Study. The patients will be seen quarterly at the centers, and some selected studies done at these visits. Samples will be obtained and stored for additional studies and analyses at a later date. | african american, blood pressure, beta-adrenergic blocker, calcium channel blocker, angiotensin converting enzyme inhibitor, environment, socio-economic, genetic, physiology, co-morbid factor, gene, adult human, antihypertensive drug, clinical, treatment, longitudinal, demographics, laboratory test, biospecimen, biomaterial supply resource |
is listed by: One Mind Biospecimen Bank Listing is related to: NIDDK Information Network (dkNET) is related to: Chronic Renal Insufficiency Cohort Study |
End-stage renal disease, Kidney failure, Kidney disease, Hypertension, Hypertensive kidney disease | NIDDK | nlx_152750 | SCR_006985 | African American Study of Kidney Disease and Hypertension (AASK) Clinical Trial and Cohort Study, African American Study of Kidney Disease and Hypertension Clinical Trial and Cohort Study, Continuation of AASK Cohort Study, African American Study of Kidney Disease and Hypertension | 2026-08-12 10:49:35 | 0 | ||||||
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Renal Disease Portal Resource Report Resource Website |
Renal Disease Portal (RRID:SCR_009030) | Renal Disease Portal | portal, data or information resource, disease-related portal, data set, topical portal | An integrated resource for information on genes, QTLs and strains associated with a variety of kidney and renal system conditions such as Renal Hypertension, Polycystic Kidney Disease and Renal Insufficiency, as well as Kidney Neoplasms. | gene, quantitative trait locus, strain, renal hypertension, kidney neoplasm, phenotype, pathway, biological process, disease, kidney, genome, gviewer, chromosome, molecular function, cellular component, visualization, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Renal disease, Renal hypertension, Polycystic kidney disease, Renal insufficiency, Kidney neoplasm, Diabetes Insipidus, Hyperoxaluria, Renal hypertension, Nephritis, Nephrocalcinosis, Nephrolithiasis, Nephrosis, Renal Fibrosis, Inborn Error of Renal Tubular Transport, Uremia | nlx_153941 | SCR_009030 | RGD Renal Disease Portal | 2026-08-12 10:49:53 | 0 | |||||||
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Public Expression Profiling Resource Resource Report Resource Website 10+ mentions |
Public Expression Profiling Resource (RRID:SCR_007274) | PEPR | data or information resource, database | An experiment in web-database access to large multi-dimensional data sets using a standardized experimental platform to determine if the larger scientific community can be given simple, intuitive, and user-friendly web-based access to large microarray data sets. All data in PEPR is also available via NCBI GEO. The structure and goals of PEPR differ from other mRNA expression profiling databases in a number of important ways. * The experimental platform in PEPR is standardized, and is an Affymetrix - only database. All microarrays available in the PEPR web database should ascribe to quality control and standard operating procedures. A recent publication has described the QC/SOP criteria utilized in PEPR profiles ( The Tumor Analysis Best Practices Working Group 2004 ). * PEPR permits gene-based queries of large Affymetrix array data sets without any specialized software. For example, a number of large time series projects are available within PEPR, containing 40-60 microarrays, yet these can be simply queried via a dynamic web interface with no prior knowledge of microarray data analysis. * Projects in PEPR originate from scientists world-wide, but all data has been generated by the Research Center for Genetic Medicine, Children''''s National Medical Center, Washington DC. Future developments of PEPR will allow remote entry of Affymetrix data ascribing to the same QC/SOP protocols. They have previously described an initial implementation of PEPR, and a dynamic web-queried time series graphical interface ( Chen et al. 2004 ). A publication showing the utility of PEPR for pharmacodynamic data has recently been published ( Almon et al. 2003 ). | microarray, expression profiling, affymetrix, metadata standard, gene, time series, data sharing, visualization, data mining, platform, blood, cell, cancer, bone, brain, eye, gut, heart, kidney, liver, lung, muscle, spinal cord, spleen, analysis |
is listed by: OMICtools is related to: Gene Expression Omnibus |
NINDS ; United States Department of Defense ; NHGRI ; NHLBI |
PMID:14681485 PMID:14596642 |
Public, Account required, (to download, For the analysis and visualization tools), The community can contribute to this resource | nif-0000-00014, OMICS_00776 | SCR_007274 | 2026-08-10 09:33:13 | 16 | ||||||
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CellFinder Resource Report Resource Website 10+ mentions |
CellFinder (RRID:SCR_006598) | CellFinder | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Database of mapped validated gene and protein expression, phenotype and images related to cell types. The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text. Operated under the Open Source/Access model, community and scientific networking applications will allow users to store and retrieve their data and to explore cells and their interactions on singular and complex resolution levels. The involvement of stem cell registries and banks will allow direct access to selected cells. The set up the stem cell data repository will involve three lines of action: * the acquisition of scientific data and contents * the standardized description of this data, its organization with the help of ontologies and technical implementation * the integration of existing sources/logistics and to ensure sustainable long-term operation | cell, gene expression, protein expression, phenotype, image, gene, stem cell, cellome, metadata standard, stem cell therapy, differential expression, protein, cell type, development, adrenal gland, gall bladder, intestine, inferior vena cava, kidney, liver, spleen |
is related to: Allen Institute for Brain Science has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany is parent organization of: CELDA Ontology |
BMBF ; DFG |
PMID:23599415 | nlx_153857 | SCR_006598 | Cell Finder | 2026-08-12 10:49:29 | 31 | ||||||
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Collecting Duct Database Resource Report Resource Website |
Collecting Duct Database (RRID:SCR_000759) | CDDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This database is intended to serve as a learning tool to obtain curated information for the design of microarray targets to scan collecting duct tissues (human, rat, mouse). The database focuses on regulatory and transporter proteins expressed in the collecting duct, but when collecting duct proteins are a member of a larger family of proteins, common additional members of the family are included even if they have not been demonstrated to be expressed in the collecting duct. An Internet-accessible database has been devised for major collecting duct proteins involved in transport and regulation of cellular processes. The individual proteins included in this database are those culled from literature searches and from previously published studies involving cDNA arrays and serial analysis of gene expression (SAGE). Design of microarray targets for the study of kidney collecting duct tissues is facilitated by the database, which includes links to curated base pair and amino acid sequence data, relevant literature, and related databases. Use of the database is illustrated by a search for water channel proteins, aquaporins, and by a subsequent search for vasopressin receptors. Links are shown to the literature and to sequence data for human, rat, and mouse, as well as to relevant web-based resources. Extension of the database is dynamic and is done through a maintenance interface. This permits creation of new categories, updating of existing entries, and addition of new ones. CDDB is a database that organizes lists of genes found in collecting duct tissues from three mammalian species: human, rat, and mouse. Proteins are divided into categories by family relationships and functional classification, and each category is assigned a section in the database. Each section includes links to the literature and to sequence information for genes, proteins, expressed sequence tags, and related information. The user can peruse a section or use a search engine at the bottom of the web page to search the database for a name or abbreviation or for a link to a sequence. Each entry in the database includes links to relevant papers in the kidney and collecting duct literature. It uses links to PubMed to generate MEDLINE searches for retrieval of references. In addition, each entry includes links to curated sequence data available in LocusLink. Individual links are made to sequence and protein data for human, rat, and mouse. Links are then added as curated sequences become available for proteins identified in the renal collecting duct and for proteins identified in kidney and similar in function or homologous to proteins identified in the collecting duct. | expressed sequence tag, expression, family, functional, gene, aquaporin, array, cdna, classification, collecting duct, homologous, human, kidney, literature, mammal, mammalian, microarray, mouse, protein, protein localization and targeting databases, rat, receptor, regulatory, relationship, scan, serial analysis, specie, target, tissue, transporter, vasopressin, water channel protein | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21078 | SCR_000759 | Collecting Duct Database | 2026-08-10 09:31:15 | 0 | |||||||
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Nephromine Resource Report Resource Website 10+ mentions |
Nephromine (RRID:SCR_003813) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE; REPLACED BY NEPHROSEQ; A growing database of publicly available renal gene expression profiles, a sophisticated analysis engine, and a powerful web application designed for data mining and visualization of gene expression. It provides unique access to datasets from the Personalized Molecular Nephrology Research Laboratory incorporating clinical data which is often difficult to collect from public sources and mouse data. | kidney, gene expression, visualization, clinical, expression profile, gene, mouse model, microarray |
is listed by: NIDDK Information Network (dkNET) is related to: Nephroseq has parent organization: University of Michigan; Ann Arbor; USA has parent organization: Life Technologies |
Kidney disease, Healthy, Lupus nephritis, Chronic kidney disease, Diabetic nephropathy | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158114 | SCR_003813 | 2026-08-10 09:32:06 | 20 | ||||||||
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GenitoUrinary Development Molecular Anatomy Project Resource Report Resource Website 100+ mentions |
GenitoUrinary Development Molecular Anatomy Project (RRID:SCR_001554) | GUDMAP | biomaterial supply resource, organism supplier, material resource | Project aggregates and provides experimental gene expression data from genito-urinary system. International consortium providing molecular atlas of gene expression for developing organs of GenitoUrinary (GU) tract. Mouse strains to facilitate developmental and functional studies within GU system. Experimental protocols and standard specifications. Tutorials describing GU organogenesis and primary data via database. Data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of developing mouse genitourinary (GU) system. | gene expression, genitourinary tract, molecular anatomy, genitourinary system, organogenesis, genitourinary, in situ hybridization, immunohistochemistry, microarray, mutant mouse strain, development, rna, protein, theiler stage, gene, anatomy, male, female, embryonic mouse, kidney, urogenital tract, urinary, reproductive, disease, molecule, cell, gene, phenotype, functional annotation, protein interaction, transgenic transgene, image, rna extraction, sample preparation, fluorescent immunohistochemistry, rna isolation, rna amplification, labeling, fluorescent in situ-hybridization, riboprobe synthesis, cellular localization, tissue isolation, embedding, cryostat sectioning, laser capture microdissection, paraffin, whole mount, optimal cutting temperature, riboprobe synthesis, target amplification, sectioning, FASEB list |
is used by: NIDDK Information Network (dkNET) is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources is listed by: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology is related to: ToppCluster is related to: One Mind Biospecimen Bank Listing is parent organization of: GUDMAP Ontology is parent organization of: GATACA GUDMAP Gene Explorer |
NIDDK DK070136; NIDDK DK070200; NIDDK DK070181 |
PMID:21652655 PMID:18287559 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152871, nif-0000-33426 | SCR_001554 | Murine Atlas for Genitourinary Development | 2026-08-11 09:40:23 | 289 | |||||
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CreZoo Resource Report Resource Website 1+ mentions |
CreZoo (RRID:SCR_008919) | CreZoo | biomaterial supply resource, organism supplier, material resource | Database of helpful set of CreERT2 driver lines expressing in various regions of the developing and adult zebrafish. The lines have been generated via the insertion of a mCherry-T2A-CreERT2 in a gene trap approach or by using promoter fragments driving CreERT2. You can search the list of all transgenic lines or single entries by insertions (gene) or expression patterns (anatomy/region). In most cases the CreERT2 expression profile using in situ hybridization at 24 hpf and 48 hpf is shown, but also additional information (e.g. mCherry or CreERT2 expression at adult stages, transactivation of a Cre-dependent reporter line) is displayed. Currently, not all insertions have been mapped to a genomic location but the database will be regularly updated adding newly generated insertions and mapping information. Your help in improving and broadening the database by giving your opinion or knowledge of expression patterns is highly appreciated. | cre, transgenic line, gene, cre line, expression pattern, expression profile, blood, blood progenitor, brain, neural tube, ear, eye, fin, heart, kidney, notochord, olfactory system, regenerating fin, somite, tailbud, ubiquitous, urogenital opening, adult zebrafish, creert2 insertion, creert2, development, developing zebrafish. image |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Dresden University of Technology; Saxony; Germany |
DFG BR 1746/3-1 | nlx_151615 | SCR_008919 | zebrafish CreZoo, CreZoo Database | 2026-08-11 09:41:47 | 1 | |||||||
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Family Investigation of Nephropathy of Diabetes Resource Report Resource Website |
Family Investigation of Nephropathy of Diabetes (RRID:SCR_001525) | FIND, F.I.N.D. | resource, clinical trial | Multicenter observational study designed to identify genetic determinants of diabetic nephropathy. It is conducted in eleven U.S. clinical centers and a coordinating center, and with four ethnic groups (European Americans, African Americans, Mexican Americans, and American Indians). Two strategies are used to localize susceptibility genes: a family-based linkage study and a case-control study using mapping by admixture linkage disequilibrium (MALD). In the family-based study, probands with diabetic nephropathy are recruited with their parents and selected siblings. Linkage analyses will be conducted to identify chromosomal regions containing genes that influence the development of diabetic nephropathy or related quantitative traits such as serum creatinine concentration, urinary albumin excretion, and plasma glucose concentrations. Regions showing evidence of linkage will be examined further with both genetic linkage and association studies to identify genes that influence diabetic nephropathy or related traits. Two types of MALD studies are being done. One is a case-control study of unrelated individuals of Mexican American heritage in which both cases and controls have diabetes, but only the case has nephropathy. The other is a case-control study of African American patients with nephropathy (cases) and their spouses (controls) unaffected by diabetes and nephropathy; offspring are genotyped when available to provide haplotype data. The specific goals of this program: * Delineate genomic regions associated with the development and progression of renal disease(s) * Evaluate whether there is a genetic link between diabetic nephropathy and diabetic retinopathy * Improve outcomes * Provide protection for people at risk and slow the progression of renal disease * Help establish a resource for genetic studies of kidney disease and diabetic complications by creating a repository of genetic samples and a database * Encourage studies of the genetics of progressive renal disease | genetic susceptibility, genetic pathway, renal, kidney, outcome, gene, genetics, european-american, african-american, mexican-american, american-indian, linkage association study, admixture linkage disequilibrium, mapping by admixture linkage disequilibrium, serum creatinine, urinary protein excretion, plasma glucose level, blood pressure, blood lipid level, trait, linkage, adult human, male, female, clinical |
is listed by: ClinicalTrials.gov is listed by: NIDDK Information Network (dkNET) has parent organization: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
NIDDK 5R01DK053591 | PMID:15642484 | Free, Freely available | nlx_152825 | https://www.niddkrepository.org/studies/find/ | SCR_001525 | Family Investigation of Nephropathy and Diabetes (F.I.N.D.), Family Investigation of Nephropathy & Diabetes | 2026-08-12 10:48:25 | 0 | ||||
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dkCOIN Resource Report Resource Website 1+ mentions |
dkCOIN (RRID:SCR_004438) | dkCOIN | data or information resource, resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented October 13, 2014. The resource has moved to the NIDDKInformation Network (dkNET) project. Contact them at info_at_dknet.org with any questions. Database of large pools of data relevant to the mission of NIDDKwith the goal of developing a community-based network for integration across disciplines to include the larger DKuniverse of diseases, investigators, and potential users. The focus is on greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets. To date (2013/06/10), a total of 1,195 resources have been associated with one or more genes. Of 11,580 total genes associated with resources, the ten most represented are associated with 359 distinct resources. The main method by which they currently interconnect resources between the providers is via EntrezGene identifiers. A total of 780 unique genes provide the connectivity between 3,159 resource pairs across consortia. To further increase interconnectivity, the groups have been further annotating their data with additional gene identifiers, publications, and ontology terms from selected Open Biological and Biomedical Ontologies (OBO). | gene, adenovirus construct, antibody, co-immunoprecipitation, embryonic stem cell line, functional genomics, histology, mouse strain, pcr primer, protocol, real time pcr, metadata, diabetes, stem cell, metabolism, tissue development, web service, cloud, embryonic stem cell |
is used by: NIF Data Federation is related to: Beta Cell Biology Consortium is related to: NIDDK Information Network (dkNET) is related to: National Mouse Metabolic Phenotyping Centers is related to: Nuclear Receptor Signaling Atlas is related to: Diabetic Complications Consortium is related to: T1DBase is related to: OBO has parent organization: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
NIDDK 3U01DK072473-05S3; NIDDK 5U24DK076169; NIDDK U19DK062434 |
PMID:22734043 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_44256 | SCR_004438 | NIDDKConsortium Interconnectivity Network | 2026-08-12 10:48:58 | 1 | |||||
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HemBase Resource Report Resource Website 1+ mentions |
HemBase (RRID:SCR_002880) | data or information resource, resource, database | Database designed for web-based examination of the human erythroid transcriptome. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology. Red blood cells in the circulation arise from hematopoietic stem cells that proliferate as erythroid progenitors and differentiate into erythroid precursor cells in response to the hormone erythropoietin. Messenger RNA was isolated from those cells and used to generate gene libraries. Sequencing several thousand expressed sequence tags (EST) from those libraries was then performed. Those EST and sequences encoding several hundred additional genes with known expression in erythroid cells are compiled here as a database of human erythroid gene activity. The database is organized and linked according to the location of these sequences within the human genome., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | erythroid, erythroid cell, erythroblast, expressed sequenced tag, transcriptome, gene, erythropoiesis, cytogenetic location, hematology, genome, red blood cell, progenitor cell, precursor cell, chromosome |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources has parent organization: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
Anemia, Erythroleukemia, Malaria, Erythroid cell related disease | NIDDK 1ZIADK025098 | PMID:14681483 PMID:10409428 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02949 | SCR_002880 | Hembase | 2026-08-12 10:48:41 | 4 | |||||
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Zebrafish Information Network (ZFIN) Resource Report Resource Website 500+ mentions |
Zebrafish Information Network (ZFIN) (RRID:SCR_002560) | ZFIN | data or information resource, database | Model organism database that serves as central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. Data represented are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations.Serves as primary community database resource for laboratory use of zebrafish. Developed and supports integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases. | expression, gene, anatomy, development, disease, genomic, model, molecular, mutant, neuronal, organism, phenotype, physiological, synteny, zebrafish, gene expression, genome sequence, molecular neuroanatomy resource, genotype, anatomical structure, publication, genome, image collection, gold standard, bio.tools, FASEB list, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: Morpholino Database is used by: Integrated Animals is used by: NIH Heal Project is recommended by: Resource Identification Portal is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: InterMOD is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Phenoscape Knowledgebase is related to: MONARCH Initiative is related to: Bgee: dataBase for Gene Expression Evolution is related to: NIH Data Sharing Repositories is related to: HomoloGene is related to: Zebrafish International Resource Center is related to: Integrated Manually Extracted Annotation is related to: Zebrafish Genome Project has parent organization: University of Oregon; Oregon; USA is parent organization of: ZFIN Antibody Database is parent organization of: Zebrafish Anatomical Ontology is parent organization of: ZFIN Protocol Wiki is parent organization of: ZFIN Antibody Wiki is organization facet of: Alliance of Genome Resources |
NHGRI P41 HG002659; NHGRI R01 HG004834 |
PMID:23074187 PMID:21036866 PMID:16381936 |
Free, Available for download, Freely available | OMICS_01666, nif-0000-21427, biotools:zfin, r3d100010421, SCR_017504 | http://zfin.org/ZFIN/misc_html/tips.html#newrecord, https://wiki.zfin.org/display/general/ZFIN+Data+Submissions, https://bio.tools/zfin, https://doi.org/10.17616/R3CK5Z | SCR_002560 | Zebrafish Database, The Zebrafish Model Organism Database, Zebra Model Organism Database, ZebraFish Information Network, ZFIN | 2026-08-10 09:31:45 | 978 | ||||
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miRBase Resource Report Resource Website 10000+ mentions |
miRBase (RRID:SCR_003152) | miRBase | service resource, data or information resource, database, naming service, data repository, storage service resource | Central online repository for microRNA nomenclature, sequence data, annotation and target prediction.Collection of published miRNA sequences and annotation. | gene, annotation, hairpin, microrna, nomenclature, rna, sequence, target, transcript, unique name, mirna registry, genetics, bio.tools, FASEB list |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: bio.tools is listed by: Debian has parent organization: University of Manchester; Manchester; United Kingdom |
BBSRC ; Wellcome Trust Sanger Institute |
PMID:24275495 PMID:21037258 PMID:20205188 PMID:17991681 PMID:16957372 PMID:16381832 PMID:14681370 |
Free, Available for download, Freely available | SCR_017497, r3d100010670, nif-0000-03134, biotools:mirbase | http://microrna.sanger.ac.uk/, https://bio.tools/mirbase, https://doi.org/10.17616/R3VG8D | SCR_003152 | microRNA database | 2026-08-12 10:48:45 | 10387 | ||||
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European Nucleotide Archive (ENA) Resource Report Resource Website 1000+ mentions |
European Nucleotide Archive (ENA) (RRID:SCR_006515) | ENA | service resource, data or information resource, database, data repository, storage service resource | Public archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource. | analysis, bioinformatics, dna, nucleotide, sequencing, web service, rna, molecular biology, nucleotide sequence, protein, gene expression, gene, genome, biochemistry, molecular structure, metabolite, protein binding, chemogenomics, gold standard |
is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: NCBI Sequence Read Archive (SRA) is related to: ENA Sequence Version Archive is related to: VBASE2 is related to: DDBJ Sequence Read Archive is related to: ISA Infrastructure for Managing Experimental Metadata is related to: DNA DataBank of Japan (DDBJ) is related to: DNA DataBank of Japan (DDBJ) is related to: NCBI is related to: INSDC is related to: INSDC is related to: NCBI Assembly Archive Viewer has parent organization: European Bioinformatics Institute is parent organization of: ENA Sequence Search works with: Eutherian comparative genomic analysis protocol |
EMBL ; Wellcome Trust ; European Union |
PMID:20972220 | Public, The community can contribute to this resource, Acknowledgement requested | OMICS_01029, r3d100010527, nif-0000-32981 | http://www.ebi.ac.uk/embl/, https://doi.org/10.17616/R3HW3J | SCR_006515 | ENA, European Nucleotide Archive | 2026-08-12 10:49:27 | 1344 | ||||
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FlyBase Resource Report Resource Website 1000+ mentions |
FlyBase (RRID:SCR_006549) | FB | portal, organism-related portal, service resource, data or information resource, database, topical portal, data repository, storage service resource | Database of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar. | RIN, Resource Information Network, mutant, gene, genome, blast, genotype, phenotype, allele, sequence, stock, image, movie, controlled term, video resource, image collection, life-cycle, genome, expression, rna-seq, genetics, drosophilidae, bio.tools, FASEB list, RRID Community Authority |
is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is used by: Drososhare is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: Resource Information Network is related to: FlyMine is related to: Virtual Fly Brain is related to: AmiGO is related to: Drosophila melanogaster Exon Database is related to: HomoloGene is related to: UniParc at the EBI is related to: UniParc is related to: Gene Ontology is related to: NIH Data Sharing Repositories is related to: GBrowse is related to: Integrated Manually Extracted Annotation is related to: PhenoGO has parent organization: Harvard University; Cambridge; United States has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: Indiana University; Indiana; USA has parent organization: University of New Mexico; New Mexico; USA is parent organization of: Drosophila anatomy and development ontologies is parent organization of: Fly Taxonomy is parent organization of: FlyBase Controlled Vocabulary is parent organization of: Drosophila Development Ontology is organization facet of: Alliance of Genome Resources |
MRC ; Indiana Genomics Initiative ; NSF ; NIH Blueprint for Neuroscience Research ; NIHGRI P41 HG000739 |
PMID:24234449 PMID:22127867 PMID:18948289 PMID:18641940 PMID:18160408 PMID:17099233 PMID:16381917 PMID:15608223 PMID:12519974 PMID:11752267 PMID:11465064 PMID:9847148 PMID:9399806 PMID:9045212 PMID:8594600 PMID:8578603 PMID:7937045 PMID:7925011 |
nif-0000-00558, r3d100010591, OMICS_01649, biotools:flybase | https://bio.tools/flybase, https://doi.org/10.17616/R3903Q | http://flybase.net | SCR_006549 | flybase A Drosophila Genomic and Genetic Database, FlyBase: A Database of Drosophila Genes and Genomes, FLYBASE, FlyBase: A Database of Drosophila Genes & Genomes, FB | 2026-08-12 10:49:28 | 4234 | ||||
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Database of Genomic Variants Archive (DGVa) Resource Report Resource Website 100+ mentions |
Database of Genomic Variants Archive (DGVa) (RRID:SCR_004896) | DGVa | service resource, data or information resource, database, data repository, storage service resource | Public repository that accepts direct submissions and provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species. Variants are accessioned at the study and sample level, granting stable identifiers that can be used in publications. DGVa data is integrated with other EBI resources, including comprehensive EBI search and Ensembl genome browser. Exchanges data with companion database, dbVar, at National Center for Biotechnology Information.NOTE: since 2019 DGVa doesn't accept submissions. Please send the data for submission to European Variation Archive (EVA). | genome, dna, gene, expression, genetics, mapping, structural, variant, gold standard |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is related to: dbVar is related to: ISCA Consortium is related to: Database of Genomic Variants is related to: Ensembl Variation has parent organization: European Bioinformatics Institute |
PMID:23193291 PMID:24174537 |
Free, Freely available | nlx_86626, r3d100010814 | https://doi.org/10.17616/R3HK7Z | http://www.ebi.ac.uk/dgva/page.php, http://www.ebi.ac.uk/dgva/ | SCR_004896 | , DGVarchive, DGVa, Database of Genomic Variants Archive | 2026-08-12 10:49:03 | 211 |
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