Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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 | |||||||||
|
Kidney Precision Medicine Project Resource Report Resource Website 50+ mentions |
Kidney Precision Medicine Project (RRID:SCR_016920) | KPMP | project portal, availability annotation standard, portal, the community can contribute to this resource, data or information resource, narrative resource, disease-related portal, standard specification, topical portal, organization portal, consortium, nif annotation standard | Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States. | ethically, obtain, evaluate, human, kidney, biopsy, collaboration, patient, clinician, researcher, acute, injury, chronic, disease, tissue, atlas, cell, pathway, target, novel, therapy, data, collection |
is listed by: NIDDK Information Network (dkNET) is related to: Kidney Tissue Atlas |
Acute Kidney Injury, Chronic Kidney Disease | NIDDK | Open resource for academics, industry, and the broader scientific community | SCR_016920 | Kidney Precision Medicine Project, The Kidney Precision Medicine Project | 2026-08-12 10:51:40 | 72 | ||||||
|
ReBuilding a Kidney Resource Report Resource Website 1+ mentions |
ReBuilding a Kidney (RRID:SCR_014442) | RBK | portal, data or information resource, funding resource, resource, organization portal | A consortium of research projects working to optimize approaches for the isolation, expansion, and differentiation of appropriate kidney cell types and their integration into complex structures that replicate human kidney function. Their goal is to coordinate and integrate research to support the development and implementation of strategies such as de novo repair of nephrons, the re-generation of nephrons, and the in vitro engineering of a biological kidney to enhance renal repair and promote the generation of new nephrons in the postnatal organ. Investigators may apply for funding of a kidney-related project through the RBK Partnership Project. Funded projects would join the consortium. | consortium, kidney, rebuild, kidney cell type, human, kidney function, nephron, engineer, renal repair | is listed by: NIDDK Information Network (dkNET) | NIDDK | PMID:28096308 | Available to the research community, Account needed to view data | SCR_014442 | (Re)Building a Kidney | 2026-08-12 10:51:03 | 3 | ||||||
|
Diabetes Epigenome Atlas Resource Report Resource Website 1+ mentions |
Diabetes Epigenome Atlas (RRID:SCR_016441) | portal, data or information resource, database, disease-related portal, topical portal, atlas | Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers. | collect, provide, data, human, genome, epigenome, genetic, study, type 2 diabetes |
has parent organization: Stanford University; Stanford; California has parent organization: University of California at San Diego; California; USA |
type 2 diabetes | NIDDK U01 DK100554 | Free, Proprietary data are available only to approved AMP consortium users with user accounts | SCR_016537 | SCR_016441 | 2026-08-12 10:51:25 | 2 | |||||||
|
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 | |||||||
|
NIH Office of Science Education Resource Report Resource Website |
NIH Office of Science Education (RRID:SCR_005603) | OSE | portal, data or information resource, narrative resource, knowledge environment, training material, organization portal | The NIH Office of Science Education (OSE) coordinates science education activities at the NIH and develops and sponsors science education projects in house. These programs serve elementary, secondary, and college students and teachers and the public. Activities * Develop curriculum supplements and other educational materials related to medicine and research through collaborations with scientific experts at NIH * Maintain a website as a central source of information about NIH science education resources * Establish national model programs in public science education, such as the NIH Mini-Med School and Science in the Cinema * Promote science education reform as outlined in the National Science Education Standards and related guidelines The OSE was established in 1991 within the Office of Science Policy of the Office of the Director of the National Institutes of Health. The NIH is the world''s foremost biomedical research center and the U.S. federal government''s focal point for such research. It is one of the components of the Department of Health and Human Services (HHS). The Office of Science Education (OSE) plans, develops, and coordinates a comprehensive science education program to strengthen and enhance efforts of the NIH to attract young people to biomedical and behavioral science careers and to improve science literacy in both adults and children. The function of the Office is as follows: (1) develops, supports, and directs new program initiatives at all levels with special emphasis on targeting students in grades kindergarten to 16, their educators and parents, and the general public; (2) advises NIH leadership on science education issues; (3) examines and evaluates research and emerging trends in science education and literacy for policy making; (4) works closely with the NIH extramural, intramural, women''s health, laboratory animal research, and minority program offices on science education special issues and programs to ensure coordination of NIH efforts; (5) works with NIH institutes, centers, and divisions to enhance communication of science education activities; and (6) works cooperatively with other public- and private-sector organizations to develop and coordinate activities. | science, education, high school, middle school, elementary school, animal, research, bioethics, blood, lymphatic system, bones, joints, muscle, brain, nervous system, cell biology, cancer, child, adolescent, complementary medicine, alternative medicine, digestive system, ears, nose, throat, endocrine system, environmental, toxicology, evolution, eye, vision, food, nutrition, metabolism, genomics, genetics, heart, circulation, history, immune system, injury, wound, kidney, urinary system, medical research, man, mental health, behavior, microbiology, infectious disease, mouth, teeth, therapy, reproductive system, respiratory system, safety, late adult human, sexual health, skin, hair, nail, sleep, social, family, substance abuse, technology, wellness, lifestyle, woman, health, human, lesson plan, supplemental curricula, book, image, multimedia, poster, k-12, adult, non-human animal |
has parent organization: National Institutes of Health is parent organization of: NIH SciEd Blog |
NIH | nlx_146222 | SCR_005603 | NIH OSE, National Institutes of Health Office of Science Education | 2026-08-11 09:41:09 | 0 | |||||||
|
U.S. Pig Genome Project Resource Report Resource Website |
U.S. Pig Genome Project (RRID:SCR_008151) | data or information resource, topical portal, database, portal | Database and resources on the pig genome. | embryo, embryonic, environmental, exercise, exposure, fat, feed, feeding, fibroblast, food, foot and mouth disease, function, genetic, acute, additive, alcohol, alcoholism, atherosclerosis, bed, behavior, biological, bone, breed, cancer, cell, chronic, clone, degenerative, density, deposition, dermal, developmental, diabetes, dietary, digestive, disease, genome, genomic, growth, habit, healing, human, hypertension, kidney, mammal, map, melanoma, metabolism, nephropathy, nuclear, nutrition, obesity, omnivore, organ, organism, parenteral, pathogen, pattern, phenotype, phenotypic, physiology, pig, pollutant, population, porcine, prenatal, pulmonary, reproductive, respiratory, retinal, sex, shock, size, social, somatic, structure, swine, taxon, technique, tissue, tobacco, transplantation, variation, vascular, warfare, xenobiotic, model | is listed by: 3DVC | nif-0000-20986 | SCR_008151 | U.S. Pig Genome Project | 2026-08-12 10:49:49 | 0 | |||||||||
|
MoTrPAC Data Hub Resource Report Resource Website 10+ mentions |
MoTrPAC Data Hub (RRID:SCR_017611) | MoTrPAC Data Hub | portal, data or information resource, database, organization portal, consortium | National research consortium designed to discover and perform preliminary characterization of range of molecular transducers that underlie effects of physical activity in humans. Used to study molecular changes that occur during and after exercise and to advance understanding of how physical activity improves and preserves health. Six year program into mechanisms of how physical activity improves health and prevents disease led by NIH Office of Strategic Coordination, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Aging, and National Institute of Biomedical Imaging and Bioengineering. | Discover, premilinary, characterization, range, molecular, transducer, physical, activity, human, changes, health, prevent, disease | is listed by: NIDDK Information Network (dkNET) | NIH Common Fund | Restricted | SCR_017611 | Molecular Transducers of Physical Activity Consortium Data Hub | 2026-08-12 10:51:51 | 20 | |||||||
|
Biobanque de Picardie Resource Report Resource Website |
Biobanque de Picardie (RRID:SCR_004731) | biomaterial supply resource, tissue bank, material resource | A secure repository of biological samples and data dedicated for medical and research purposes. These biological samples are linked to consenting patient relative data. Biobanque de Picardie provides quality and traceability services for establishment, conservation and use of biological samples collections. It houses collections of human tissue in a variety of areas of disease. Samples are used in basic research and translational studies, physiopathology of diseases and identification of new diagnostic, and as prognostic or therapeutic biomarkers. Biobanque de Picardie also develops healthy or pathological human primary stem cell banks, such as: mesenchymal stem cells in umbilical cord (HUC-MSC), primary hepatocytes (HPH), peripheral blood mononuclear cells (PBMC), and fibroblasts. Biological samples are stored at - 80 degrees C in electric freezers, at - 196 degrees C in liquid nitrogen or -130 degrees C in nitrogen vapor. | tissue, stem cell, mesenchymal stem cell, fibroblast, frozen, liquid nitrogen, cryopreserved, fresh, normal control, internal medicine, pediatrics, biobank, human |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Picardie Jules Verne; Amiens; France |
Anti-phospholipid antibody syndrome, Ovarian cancer, Hepathocellular carcinoma, Chlamydia, Acute alcoholic hepatitis, Hepatitis B, Hepatitis C, HT 21, Celiac disease, Crohn's disease, Ulcerative colitis, Giant cell arteritis, Blood disorder, Leukemia, Mastocytosis, Lymphoma, Myeloma, Obesity, Acute Pancreatitis, Rheumatoid arthritis, Kidney transplant, Human immunodeficiency virus | French Ministry of Research ; FEDER |
For the scientific community | nlx_73857 | http://www.biobanque-picardie.com/indexang.htm | SCR_004731 | 2026-08-11 09:41:08 | 0 | ||||||
|
LAMHDI: The Initiative to Link Animal Models to Human DIsease Resource Report Resource Website 1+ mentions |
LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease. | fly, animal, biologic, community, database, disease, genome, human, informatics, international, internet, knockout, model, mouse, network, organism, pathway, primate, rat, research, saccharomyces, testing, treatment, trial, worm, zebrafish |
has parent organization: University of Washington; Seattle; USA has parent organization: University of Wisconsin-Madison; Wisconsin; USA has parent organization: University of California at San Diego; California; USA |
NIH OD011883; NIH NS058296 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32417 | SCR_008643 | LAMHDI | 2026-08-10 09:33:38 | 2 | |||||||
|
American College of Clinical Pharmacy Resource Report Resource Website 1+ mentions |
American College of Clinical Pharmacy (RRID:SCR_003957) | ACCP | nonprofit organization | A professional and scientific society that provides leadership, education, advocacy, and resources enabling clinical pharmacists to achieve excellence in practice and research. Their membership is composed of practitioners, scientists, educators, administrators, students, residents, fellows, and others committed to excellence in clinical pharmacy and patient pharmacotherapy. The Practice and Research Networks (PRNs) represent focused interest groups of ACCP members, providing a means for clinical pharmacists with common practice and research interests to gather for professional interaction, networking, and continuing education. Activities within individual PRNs may vary depending on the interests and perceived needs of their members. All PRNs conduct educational programs within their interest areas at the ACCP Annual Meeting and the Spring Practice and Research Forum. | clinical, pharmacy, pharmacotherapy, human | is related to: Kidney Health Initiative | grid.417936.e, Crossref funder ID: 100005321, ISNI: 0000 0001 2097 285X, nlx_158370, Wikidata: Q23894214 | https://ror.org/02srcnm40 | SCR_003957 | 2026-08-08 11:58:10 | 3 | ||||||||
|
SPARC Portal Resource Report Resource Website 100+ mentions |
SPARC Portal (RRID:SCR_017041) | SPARC.science | service resource, data repository, storage service resource | SPARC data repository as of 2023 is an open data repository developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. We are thrilled that as of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. The NIH's Common Fund Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of these nerve-organ interactions and ultimately advance neuromodulation field toward precise treatment of diseases and conditions for which conventional therapies fall short. | Nervous system, periphery, organ, human, FASEB list, repository, curated |
uses: Protocols.io uses: Brain Imaging Data Structure (BIDs) uses: Physiome Model Repository uses: SciGraph uses: o²S²PARC uses: SODA uses: Blackfynn Discover uses: ApiNATOMY uses: Biolucida uses: TissueMaker uses: ScaffoldMaker uses: ScaffoldFitter uses: OpenCOR uses: Pennsieve Data Management Platform uses: InterLex uses: Neurolucida 360 uses: SciCrunch uses: Tissue Mapper uses: Vesselucida 360 uses: DataCite uses: TissueMaker is used by: NIH Heal Project is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is recommended by: National Library of Medicine is related to: SPARC Anatomy Working Group is related to: HORNET CENTER FOR AUTONOMIC NERVE RECORDING AND STIMULATION SYSTEMS is related to: NIH PRECISION Human Pain Network is related to: SCKAN Explorer is related to: SCKANNER works with: SPARC Data Standard has organization facet: o²S²PARC has organization facet: SODA has organization facet: SPARC Anatomy Working Group has organization facet: Blackfynn Discover has organization facet: ApiNATOMY has organization facet: Pennsieve Data Management Platform |
NIH Office of the Director OD025349; NIH Office of the Director OD030213; NIH Office of the Director OD032619; NIH Office of the Director OD030541; NIH Office of the Director OD026585; NIH Office of the Director OD024908; NIH Office of the Director OD025306; NIH Office of the Director OD023849 |
PMID:34248680 DOI:10.1101/2021.02.10.430563 |
Free, Freely available, | DOI:10.26275, r3d100013719 | https://commonfund.nih.gov/sparc, https://docs.sparc.science/, https://data.sparc.science/, https://doi.org/10.26275, https://doi.dx/10.26275, https://sparc.science/data?type=dataset, https://doi.org/10.17616/R31NJN2V | SCR_017041 | , SPARC Project, SPARC Repository, Stimulating Peripheral Activity to Relieve Conditions | 2026-08-12 10:51:42 | 119 | ||||
|
International Agency for Research on Cancer Resource Report Resource Website 1000+ mentions |
International Agency for Research on Cancer (RRID:SCR_005422) | IARC | nonprofit organization | The International Agency for Research on Cancer (IARC) is part of the World Health Organization. IARC''s mission is to coordinate and conduct research on the causes of human cancer, the mechanisms of carcinogenesis, and to develop scientific strategies for cancer prevention and control. The Agency is involved in both epidemiological and laboratory research and disseminates scientific information through publications, meetings, courses, and fellowships. | cancer, human, research, prevention, carcinogenesis |
has parent organization: World Health Organization is parent organization of: IARC Recommendations and Protocols for Biobanking is parent organization of: IARC TP53 Database is parent organization of: Cancer Genomics of the Kidney (CAGEKID) |
Crossref funder ID: 100008700, grid.17703.32, ISNI: 405980095, nlx_144517, Wikidata: Q552168 | https://ror.org/00v452281 | SCR_005422 | IARC - International Agency for Research on Cancer | 2026-08-08 11:58:27 | 2287 | |||||||
|
KEGG Resource Report Resource Website 10000+ mentions |
KEGG (RRID:SCR_012773) | KEGG | portal, service resource, data or information resource, production service resource, database, software resource, topical portal, analysis service resource, data access protocol, data analysis service, web service | Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies. | model, pathway, functional hierarchy, module, cancer, disease, drug, drug classification, orthology, ortholog, genome, gene, protein, compound, classification, biochemical reaction, pathway, ligand, biosynthesis, pathway prediction, sequence, chemical structure, human, enzyme, database, molecular interaction, metabolism, metabolomics, cellular process, structure, drug development, reaction, cell |
is used by: NIF Data Federation is used by: Arabidopsis Reactome is used by: LIPID MAPS Proteome Database is used by: globaltest is used by: MitoMiner is used by: Database for Annotation Visualization and Integrated Discovery is used by: Biochemical Pathways Reaction Kinetics Database is used by: Ultimate Rough Aggregation of Metabolic Map is used by: GEMINI is used by: In vivo - In silico Metabolite Database is listed by: 3DVC is listed by: OMICtools is affiliated with: Kyoto Encyclopedia of Genes and Genomes Expression Database is related to: PathCase Pathways Database System is related to: ExplorEnz is related to: NCBI BioSystems Database is related to: Allen Institute Neurowiki is related to: eQuilibrator is related to: GeneTrail is related to: KegTools is related to: PRODORIC is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: METLIN is related to: Kidney and Urinary Pathway Knowledge Base is related to: DAVID is related to: ConsensusPathDB is related to: ENZYME is related to: FlyMine is related to: Babelomics is related to: SynSysNet is related to: Cotton EST Database is related to: Integrated Molecular Interaction Database is related to: SEGS is related to: INMEX is related to: BioExtract is related to: ClueGO is related to: MalaCards is related to: TrED is related to: FunTree is related to: MOPED - Model Organism Protein Expression Database is related to: ProOpDB is related to: KOBAS is related to: GeneTerm Linker is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: GeneCodis is related to: FunNet - Transcriptional Networks Analysis is related to: LegumeIP is related to: Algal Functional Annotation Tool is related to: aGEM is related to: DINIES is related to: KEGG PATHWAY Database is related to: ShinyGO is related to: KEGGREST has parent organization: Kyoto University; Kyoto; Japan has parent organization: University of Tokyo; Tokyo; Japan is parent organization of: KegTools works with: DIANA-mirPath works with: MiMeDB |
Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Japan Science and Technology Agency |
PMID:22700311 PMID:22130871 PMID:22080510 PMID:19880382 PMID:19172790 PMID:18428742 PMID:18287706 PMID:18077471 PMID:16381885 PMID:16014746 PMID:14681412 PMID:12539951 PMID:11752249 PMID:10928937 PMID:10592173 PMID:9847135 |
Restricted | nlx_31015, OMICS_01583, OMICS_03010, OMICS_01582, OMICS_03974, OMICS_05434, OMICS_05360 | http://www.genome.jp/kegg/ | SCR_012773 | KEGG - Kyoto Encyclopedia of Genes and Genomes, Kyoto Encyclopedia of Genes and Genomes | 2026-08-12 10:50:40 | 81488 | ||||
|
Analysis, Visualization, and Informatics Lab-space (AnVIL) Resource Report Resource Website 10+ mentions |
Analysis, Visualization, and Informatics Lab-space (AnVIL) (RRID:SCR_017469) | AnVIL | project portal, portal, service resource, data or information resource, data repository, storage service resource | Portal to facilitate integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health or by other agencies that support human genomics research. Resource for genomic scientific community, that leverages cloud based infrastructure for democratizing genomic data access, sharing and computing across large genomic, and genomic related data sets. Component of federated data ecosystem, and is expected to collaborate and integrate with other genomic data resources through adoption of FAIR (Findable, Accessible, Interoperable, Reusable) principles, as their specifications emerge from scientific community. Will provide collaborative environment, where datasets and analysis workflows can be shared within consortium and be prepared for public release to broad scientific community through AnVIL user interfaces. | Dataset, NHGRI, program, NIH, initiative, funded, human, genomic, data, access, sharing, FAIR, analysis, workflow |
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 |
NIH | Restricted | https://www.genome.gov/Funded-Programs-Projects/Computational-Genomics-and-Data-Science-Program/Genomic-Analysis-Visualization-Informatics-Lab-space-AnVIL | SCR_017469 | Visualization, and Informatics Lab-space, AnVIL, Analysis Visualization and Informatics Lab-space, Analysis | 2026-08-12 10:51:45 | 31 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.