Searching the RRID Resource Information Network
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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Northwestern University Proteomics Core Facility Resource Report Resource Website 10+ mentions |
Northwestern University Proteomics Core Facility (RRID:SCR_017945) | access service resource, core facility, service resource | Core offers multiple types of experiments from simple protein identification to protein quantitation. Performs traditional bottom-up proteomics, where proteins are digested with enzyme prior to analysis and intact, top-down proteomics analyses. Services include proteins identification after in-gel or in-solution digestion, top-down mass spectrometry to preserve post-translationally modified forms of proteins present in vivo by measuring them intact, IP-MS Pulldown,BioID service to identify target of biotin ligase that has been tagged onto their protein via traditional cloning methods,Untargeted Quantitative Peptide Proteomics,Targeted Quantitative Peptide Proteomics,Epiproteomic Histone Modification Panel A,Epiproteomic Histone Modification Panel B,Untargeted Metabolomics,Phosphoproteomics,PTM Scan,ChIP-MS. | Protein, indentification, quantitation, proteomics, analysis, enzyme, digestion, mass, spectrometry, peptide, targeted, epiproteomic, histone, modification, untargeted, phosphoproteomics, PTM Scan, ChIP-MS, service, core, ABRF |
is listed by: ABRF CoreMarketplace is related to: USEDit has parent organization: Northwestern University; Illinois; USA |
NCI P30 CA060553; NIGMS P41 GM108569; NIH Office of the Director S10 OD025194 |
Open | SCR_017880, ABRF_944 | https://coremarketplace.org/?FacilityID=944 | https://coremarketplace.org/?FacilityID=738 | SCR_017945 | Northwestern Proteomics, Northwestern University Proteomics Center of Excellence Core Facility | 2026-09-19 12:59:34 | 10 | |||||
|
Nevada University Genomics Core Facility Resource Report Resource Website |
Nevada University Genomics Core Facility (RRID:SCR_018272) | access service resource, core facility, service resource | Provides development and support of genomics-based research, serving investigators in Nevada and beyond. Staff can be contracted for select services including ABI 3130 DNA sequencing, BD FACSCalibur flow cytometry, Affymetrix microarray processing, Agilent 2100 Bioanalyzer analysis and Qubit analysis. Facility also provides equipment and training for real-time PCR, Western blot/gel/microarray scanning, and analysis of DNA, RNA and protein samples. | Genomics, Nevada University, DNA sequencing, flow cytometry, microarray, analysis, RT PCR, Western Blotting, RNA, protein, core facility, USEDit, ABRF |
is listed by: ABRF CoreMarketplace is related to: USEDit |
Open | ABRF_351 | https://coremarketplace.org/?FacilityID=351 | SCR_018272 | University of Nevada, Las Vegas - Genomics Core Facility, UNLV Genomics Core Facility | 2026-09-19 12:59:35 | 0 | |||||||
|
University of Arizona Analytical and Biological Mass Spectrometry Core Facility Resource Report Resource Website 10+ mentions |
University of Arizona Analytical and Biological Mass Spectrometry Core Facility (RRID:SCR_023370) | ABMS | access service resource, core facility, service resource | Provides equipment and expertise for analysis of variety of biological and small molecules.Services include protein analysis encompassing protein identification, protein and peptide sequence confirmation, intact protein molecular weight determination, complex protein sample analysis, and protein/antibody drug interactions.Developed metabolomics library to support metabolomic and lipidomics analysis. Can identify range of post-translational modifications, determining their presence or absence, as well as quantitating PTMs.Proteomics and small molecule services include workflows for label free,chemical labeling (iTRAQ/TMT) and metabolic labeling (SILAC).Service for molecular synthesis, with monitoring reaction steps,calculating percentage of product, testing for purity, and molecule characterization with high resolution and high mass accuracy.Provides molecular weight and chemical composition determinations, structure elucidations and compound identification analysis or confirmation and accurate mass measurements of synthetic products, measurement of polymers, nucleic acids (DNA/RNA), peptides, proteins, natural products, and assistance with determination of unknowns. | USEDit, ABRF, small molecules, protein identification, protein and peptide sequence confirmation, intact protein molecular weight determination, complex protein sample analysis, protein, antibody, drug interactions, |
is listed by: ABRF CoreMarketplace is related to: USEDit has parent organization: University of Arizona; Arizona; USA |
ABRF_1698 | https://coremarketplace.org/?FacilityID=1698&citation=1 | SCR_023370 | UArizona Analytical & Biological Mass Spectrometry Facility, University of Arizona UArizona Analytical & Biological Mass Spectrometry Facility | 2026-09-19 12:59:56 | 10 | |||||||
|
SpecimenCentral.com Resource Report Resource Website 1+ mentions |
SpecimenCentral.com (RRID:SCR_003536) | SpecimenCentral.com | biomaterial supply resource, material resource | World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners. | blood, tissue, cell, dna, rna, protein, body fluid, whole blood, buccal swab, cell line, plasma, serum, red blood cell, white cell, buffy coat, marrow, urine, stem cell, solid tissue, tumor, adult, pediatric, biopsy material, child, clinically annotated, clinical, annotated, tissue | is listed by: One Mind Biospecimen Bank Listing | All | The community can contribute to this resource | nlx_10317 | SCR_003536 | Specimen Central, SpecimenCentral | 2026-09-19 12:57:47 | 1 | ||||||
|
Toolbox at the European Bioinformatics Institute Resource Report Resource Website 50+ mentions |
Toolbox at the European Bioinformatics Institute (RRID:SCR_002872) | software resource, software toolkit | The European Bioinformatics Institute (EBI) toolbox area provides a comprehensive range of tools for the field of bioinformatics. These are subdivided into categories in the left menu for convenience. EBI has developed a large number of very useful bioinformatics tools. A few examples include: - Similarity & Homology - the BLAST or FASTA programs can be used to look for sequence similarity and infer homology. - Protein Functional Analysis - InterProScan can be used to search for motifs in your protein sequence. - Proteomic Services NEW - UniProt DAS server allows researchers to show their research results in the context of UniProtKB/Swiss-Prot annotation. - Sequence Analysis - ClustalW2 a sequence alignment tool. - Structural Analysis - MSDfold can be used to query your protein structure and compare it to those in the Protein Data Bank (PDB). - Web Services - provide programmatic access to the various databases and retrieval/analysis services EBI provides. - Tools Miscellaneous - Expression Profiler a set of tools for clustering, analysis and visualization of gene expression and other genomic data. Sponsors: This resource is sponsored by EBI. | expression, functional, gene, bioinformatics, database, genomic, homology, protein, proteomic, sequence, structural, toolbox | has parent organization: European Bioinformatics Institute | Free | nif-0000-25553 | SCR_002872 | EBI Bioinformatics Tools | 2026-09-19 12:57:46 | 92 | ||||||||
|
Azure Biosystems: c600 Imaging System Resource Report Resource Website |
Azure Biosystems: c600 Imaging System (RRID:SCR_027952) | AZURE c600 | instrument resource | Benchtop instrument designed for life science research, specifically for imaging, detecting, and quantifying protein and nucleic acids on gels and blots. It enables multi-channel analysis, including laser infrared (IR) fluorescence, RGB visible fluorescence, and chemiluminescence, allowing for multiplexed Western blots. | imaging, detecting, quantifying, protein, nucleic acids, gels, blots | is related to: Azure Biosystems: 600 Western Blot Imaging System | https://raw.githubusercontent.com/SciCrunch/RRID-Instruments/refs/heads/main/PDF/SCR_027952.pdf | Model_Number_Azure_c600 | SCR_027952 | , Azure c600 Imaging System, Azure c600 Western Blot Imaging System | 2026-09-19 01:01:21 | 0 | |||||||
|
University of Oklahoma Protein Production and Characterization Core Facility Resource Report Resource Website |
University of Oklahoma Protein Production and Characterization Core Facility (RRID:SCR_028067) | access service resource, core facility, service resource | Offers access to instrumentation, training, and services for protein expression, purification, and biophysical characterization. In addition to instrument access, PPCC personnel offer advice, hands-on training, education, and collaboration. Provides a range of protein purification and characterization equipment. | ABRF, protein, expression, purification, biophysical characterization, |
is listed by: ABRF CoreMarketplace has parent organization: University of Oklahoma; Oklahoma; USA |
NIH P20GM103640; NIH P30GM145423 |
ABRF_5816 | https://coremarketplace.org/RRID:SCR_028067/?citation=1 | SCR_028067 | 2026-09-19 01:01:24 | 0 | ||||||||
|
Allsheng: Nano-400A spectrophotometer Resource Report Resource Website |
Allsheng: Nano-400A spectrophotometer (RRID:SCR_028470) | instrument resource | Ultra-micro UV spectrophotometer used in life science and biology labs to measure the concentration and purity of DNA, RNA, and protein samples. Measures DNA and RNA concentrations at a fixed wavelength of 260 nm.Measures purified protein concentration at 280 nm. Requires only 1 to 2 ul of sample, eliminating the need for cuvettes or capillaries. | Hangzhou Allsheng Instruments, Ultra-micro UV spectrophotometer, spectrophotometer, protein, DNA, RNA, measurement | Commercially available | https://raw.githubusercontent.com/SciCrunch/RRID-Instruments/refs/heads/main/PDF/SCR_028470.pdf | Model_Number_Nano-400A | SCR_028470 | , Nano-400A spectrophotometer, Nano-400A ultra-micro spectrophotometer | 2026-09-19 01:01:32 | 0 | ||||||||
|
COACH Resource Report Resource Website 1+ mentions |
COACH (RRID:SCR_027684) | data access protocol, software resource, web service | Web application for protein-ligand binding site prediction. Starting from given structure of target proteins, COACH will generate complementray ligand binding site predictions using two comparative methods, TM-SITE and S-SITE, which recognize ligand-binding templates from the BioLiP protein function database by binding-specific substructure and sequence profile comparisons. | protein-ligand binding site prediction, protein, ligand, binding site prediction, | NIGMS GM083107; NIGMS GM084222; NSF Career Award |
PMID:23975762 | Free, Freely available | http://zhanglab.ccmb.med.umich.edu/COACH/ | SCR_027684 | , COACH server | 2026-09-19 01:01:15 | 7 | |||||||
|
DMAPS - A Database of Multiple Alignments for Protein Structures Resource Report Resource Website |
DMAPS - A Database of Multiple Alignments for Protein Structures (RRID:SCR_007140) | DMAP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. DMAPS database contains pre-computed multiple structure alignments for protein chains in the Protein Data Bank (PDB). Automated structure alignments have been generated for classified protein families using CE-MC algorithm. Alignments have been built only for those families with at least three members. Currently, multiple structure alignments are available for 3050 SCOP-, 3087 CATH-, 664 ENZYME- and 1707 CE-based families. Users will be able to retrieve multiple alignments for a given PDB chain classified by one of these criteria. | multiple structure alignment, protein, protein family, protein structure | has parent organization: University at Albany; New York; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02755, nlx_154108, SCR_009091 | SCR_007140 | 2026-09-19 12:51:24 | 0 | ||||||||
|
BioMANTA Resource Report Resource Website 1+ mentions |
BioMANTA (RRID:SCR_007177) | BioMANTA | controlled vocabulary, data or information resource, disease-related portal, ontology, portal, research forum portal, software resource, topical portal | This project encompasses development of novel biological network analysis methods and infrastructure for querying biological data in a semantically-enabled format, and aims to create a semantic interactome model. Research within the BioMANTA project will focus on computational modelling and analysis, primarily using Semantic Web technologies and Machine Learning methods, of large-scale protein-protein interaction and compound activity networks across a wide variety of species. A range of information such as kinetic activity, tissue expression, and subcellular localization and disease state attributes will be included in the resulting data model. Protein interactions are a fundamental component of biological processes. Many proteins are functional only in multimeric complexes, or require interaction partners to achieve their correct localisation or function. For this reason, the study of protein-protein interaction (PPI) networks has become an area of growing interest in computational biology. Through the use of Semantic Web technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL), interaction data is modelled to create a knowledge representation in which meaning is vested in the ontology rather than instances of data. Stochastic and computational intelligence methods are applied to this data to infer high coverage networks. Semantic inferencing is used to infer previously unknown and meaningful pathways. Major project components: - The BioMANTA Ontology:- An OWL DL ontology incorporating the PSI-MI Ontology, the NCBI Taxonomy, and elements of BioPax ontology and Gene Ontology (describing subcellular localisation). This allows us to re-use existing ontologies, thereby reducing overheads associated with knowledge acquisition in the ontology development process. We are able to integrate existing public data that contain annotation in these formats. - Data conversion & semantic protein integration:- A set of software components that convert protein-protein databases (DIP, MPact, IntAct, etc.) from PSI-MI XML to RDF compliant with the BioMANTA ontology. These software allow us to make these protein-protein interaction datasets (and more generally, any PSI-MI XML data) semantically available for querying and inference within BioMANTA. - A RDF triple store based on RDF Molecules and the MapReduce architecture:- A proof-of-concept RDF triple store using RDF molecules and Hadoop scale-out architectures. Regular RDF graphs are deconstructed into RDF molecules, which are distributed over distributed compute nodes in the MapReduce architecture, and are subsequently combined to form equivalent RDF graphs. Such an approach makes the distributed SPARQL querying and reasoning on RDF triple stores possible. - A quantitative framework to integrate networks extracted from independent data sources (gene expression, subcellular localization, and ortholog mapping):- The model is multi-layer, with a first layer based on Decision Trees where each Decision tree is built on each dataset independently. The tree nodes are cut using Shannon''s entropy (mutual information); the decision of these independent trees is integrated using logistic regression, and the parameters are optimised using maximum likelihood. Sponsors: This resource is supported by the Pfizer Global Research and Development, the Institute for Molecular Bioscience (IMB), and the University of Queensland, Australia. | biological, network, model, analysis, semantic, interactome, biological, data, development, computational, process, protein, biology, ontology, knowledge, molecule, rdf, framework, subcellular, localization, gene, expression, ortholog, mapping, dataset | has parent organization: University of Queensland; Brisbane; Australia | nif-0000-30183 | SCR_007177 | The Modelling and Analysis of Biological Network Activity | 2026-09-19 12:51:25 | 2 | ||||||||
|
Malaria Parasite Metabolic Pathways Resource Report Resource Website 10+ mentions |
Malaria Parasite Metabolic Pathways (RRID:SCR_007072) | Malaria Parasite Metabolic Pathways | data or information resource, data set, image collection | Data set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database. | enzyme, gene, genome, map, metabolic, mosquito, parasite, pathway, plasmodium falciparum, protein, reaction, sequence, metabolic pathway, chemical structure, cell-cell interaction, transport, morphology, mitochondria, apicoplast | has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel | Malaria | UNDP/World Bank/WHO Special Programme ; NIAID ; European Union ; 6th FP- BioMalPar Network of Excellence on Biology and Pathology of the Malaria Parasite |
nif-0000-21249 | SCR_007072 | 2026-09-19 12:51:23 | 20 | |||||||
|
BioInfoBank Meta Server Resource Report Resource Website 10+ mentions |
BioInfoBank Meta Server (RRID:SCR_007181) | BioInfoBank | data or information resource, portal, topical portal | This service offers a gateway to well-benchmarked protein structure and function prediction methods. Structural models collected from the prediction servers are assessed using the powerful 3D-jury consensus approach. The Structure Prediction Meta Server provides access to various fold recognition, function prediction and local structure prediction methods. The Server takes the amino acid sequence of the query protein, the reference name for the prediction job, and the E-mail address as input. The E-mail address is used only for notification about errors during the execution of the job. The query sequence and the reference name are placed in the process queue. The Meta Server accepts only sequences, which have not been submitted before. In case of duplicate sequences the second user will be notified with a link to the previous submission. Sequences longer than 800 amino acids are not accepted by some services. The internal SQL database offers the possibility to find any previous jobs processed by the Meta Server using regular expressions addressing field like E-mail, Job Name and the host name, from which the job was initiated. Each server has its own process queuing system managed by the Meta Server. All results of fold recognition servers are translated into uniform formats. The information extracted from the raw output of the servers includes the PDB codes of the hits, the alignments and the similarity (reliability) scores specific for every server. Mapping of the hits to the SCOP and FSSP classifications are made either using known PDB representatives or alignment of the template sequence with the databases of proteins in both classifications. The secondary structure assignments for all hits are taken from the mapped FSSP (red for helices and blue for strands). Underscored amino acids indicate the first residue after an insertion in the template sequence. The Meta server provides translation of the alignments in standard formats like FASTA, PDB or CASP. The Meta Server is coupled to consensus servers. They provide jury predictions based on the results collected from other services. Not all fold recognition servers are used by the jury system. The data stored on the meta server is available through http://meta.bioinfo.pl/data/JOBID/. Jobs older than 2 months are not shown. The Meta Server is only a set of programs aimed to process and manage biological data, while the predictive power of the service comes from (mostly) remote prediction providers. Sponsors: This resource is supported by The BioInfoBank Institute. | server, meta, biology, function, protein, structure, method, model, prediction, 3-dimentional, amino acid, sequence | nif-0000-30180 | http://meta.bioinfo.pl | SCR_007181 | The BioInfoBank Meta Server, BioInfoBank Meta Server | 2026-09-19 12:51:25 | 22 | ||||||||
|
Caenorhabditis Genetics Center Resource Report Resource Website 1000+ mentions |
Caenorhabditis Genetics Center (RRID:SCR_007341) | CGC | biomaterial supply resource, cell repository, material resource, organism supplier | Center that acquires, maintains, and distributes genetic stocks and information about stocks of the small free-living nematode Caenorhabditis elegans for use by investigators initiating or continuing research on this genetic model organism. A searchable strain database, general information about C. elegans, and links to key Web sites of use to scientists, including WormBase, WormAtlas, and WormBook are available. | non-human animal, caenorhabditis elegans, chromosome, database, model, mutant, nematode, nomenclature, model organism, protein, transgenic, web accessible database, genetic stock, germplasm, genotype, FASEB list |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is related to: C. elegans Gene Knockout Consortium is related to: Expression Patterns for C. elegans promoter GFP fusions has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
NIH OD010440 | nif-0000-00240 | https://orip.nih.gov/comparative-medicine/programs/invertebrate-models, http://www.cbs.umn.edu/research/resources/cgc | http://biosci.umn.edu/CGC/, http://www.cgc.cbs.umn.edu | SCR_007341 | 2026-09-19 12:51:27 | 3907 | ||||||
|
CCP4 Resource Report Resource Website 1000+ mentions |
CCP4 (RRID:SCR_007255) | CCP4 | data analysis software, data or information resource, data processing software, portal, service resource, simulation software, software application, software resource | Portal for Macromolecular X-Ray Crystallography to produce and support an integrated suite of programs that allows researchers to determine macromolecular structures by X-ray crystallography, and other biophysical techniques. Used in the education and training of scientists in experimental structural biology for determination and analysis of protein structure. | macromolecular, x-ray, crystallography, biophysical, technique, structural, biology, analysis, protein, Research Complex at Harwell, computational, collaborative, project |
is used by: MoRDa is used by: PDB-REDO is listed by: SoftCite is related to: BALBES is related to: CCP4mg is related to: fragon is related to: ConPlot has parent organization: Science and Technology Facilities Council |
Science and Technology Facilities Council | Free, Available for download, Freely available, Tutorial available | SCR_016709, nif-0000-30238 | SCR_007255 | The Collaborative Computational Project Number 4 in Protein Crystallography, Collaborative Computational Project Number 4 | 2026-09-19 12:51:26 | 4896 | ||||||
|
Olfactory Receptor DataBase Resource Report Resource Website 1+ mentions |
Olfactory Receptor DataBase (RRID:SCR_007830) | ORDB | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors. | fungal, pheromone receptor, gene, chemosensory, chemosensory receptor, g protein-coupled receptor, olfaction receptor, protein, receptor, taste papilla receptor, vomeronasal organ receptor, olfactory receptor, nucleotide, amino acid, chemoreceptor sequence, olfactory receptor sequence, chemoreceptor, sequence |
is used by: NIF Data Federation is listed by: 3DVC is related to: Odor Molecules DataBase is related to: Integrated Manually Extracted Annotation has parent organization: Yale School of Medicine; Connecticut; USA |
Aging | Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; National Aeronautics and Space Administration ; NIDCD RO1 DC 009977; NIDCD P01 DC 04732; NLM G08 LM05583 |
PMID:11752336 PMID:9847223 PMID:9218144 |
Public, Private, Acknowledgement requested, The community can contribute to this resource | nif-0000-03213 | SCR_007830 | Olfactory Receptors Database | 2026-09-19 12:51:32 | 4 | ||||
|
Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | data access protocol, data or information resource, data repository, database, service resource, software resource, storage service resource, web service | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-09-19 12:51:32 | 272 | ||||
|
DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity Resource Report Resource Website |
DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity (RRID:SCR_008028) | DNAftB | data or information resource, image collection, narrative resource, portal, topical portal, training material, video resource | An animated primer on the basics of DNA, genes, and heredity organized around three key concepts: Classical Genetics, Molecules of Genetics, and Genetic Organization and Control. The science behind each concept is explained by: animation, image gallery, video interviews, problem, biographies, and links. | gene, genetic, chromosome, dna, heredity, human, protein, reverse transcriptase, transcription, translation, transposon, genetics, virus, rna, mutation | has parent organization: Cold Spring Harbor Laboratory | Josiah Macy Jr. Foundation | nif-0000-10208 | SCR_008028 | DNA from the Beginning | 2026-09-19 12:51:34 | 0 | |||||||
|
Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-19 12:51:32 | 7 | |||||
|
Protein Mutant Database Resource Report Resource Website 1+ mentions |
Protein Mutant Database (RRID:SCR_007878) | PMD | data or information resource, data repository, database, service resource, storage service resource | It provides information on natural and artificial mutants, including random and site-directed ones, for all proteins except members of the globin and immunoglobulin families. The PMD is based on literature, and each entry in the database corresponds to one article which may describe one, several or a number of protein mutants. Each database entry is identified by a serial number and is defined as either natural or artificial, depending on the type of the mutation. For each entry the following are recorded : JOURNAL, TITLE, CROSS-REFERENCE, PROTEIN, N-TERMINAL, CHANGE, FUNCTION, STRUCTURE, STABILITY, etc. CROSS-REFERENCE indicates the code names of the protein given in other databases such as Protein Identification Resources (2). N-TERMINAL shows the N-terminal sequence of five amino acids which may help to show the unambiguous numbering of th e sequence. CHANGE indicates the position and kind of mutations, such as amino acid substitution, insertion and deletion, denoted with a specific notation. Any functional or structural features (FUNCTION, STRUCTURE, STABILITY,etc) observed in the mutant are described immediately after ''CHANGE''. Relative differences in activity and/or stability, in comparison with the wild-type protein, are indicated with symbols (- -),(-),(=),(+) or (+ +). Complete loss of activity is denoted as (0). Data Submission A data submission system was newly prepared in the PMD. We welcome the authors of articles published in academic journals to submit their own mutant data to the PMD. After checking the contents, we will register the data with a unique accession number. | amino acid, artificial, deletion, insertion, mutant, natural, protein, sequence, substitution |
is related to: PredictSNP has parent organization: National Institute of Genetics; Shizuoka; Japan |
SCR_007878 | Protein Mutant Database | 2026-09-19 12:51:33 | 4 |
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 RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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.
