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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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UD Chick EST Project Resource Report Resource Website 10+ mentions |
UD Chick EST Project (RRID:SCR_002236) | biomaterial supply resource, cell repository, material resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. A chicken EST Web site has been created to provide access to the data, and a set of unique sequences has been deposited with GenBank. This site contains over 40,000 EST sequences from the chicken cDNA libraries in the University of Delaware collection. Users can perform keyword searches, BLAST nucleotide sequences against our database, view clusters of similar or overlapping clones, and order clones. The cDNA and gene sequences of many mammalian cytokines and their receptors are known. However, corresponding information on avian cytokines is limited due to the lack of cross-species activity at the functional level or strong homology at the molecular level. To improve the efficiency of identifying cytokines and novel chicken genes, a directionally cloned cDNA library from T-cell-enriched activated chicken splenocytes was constructed, and the partial sequence of 5251 clones was obtained. Sequence clustering indicates that 2357 (42%) of the clones are present as a single copy, and 2961 are distinct clones, demonstrating the high level of complexity of this library. Comparisons of the sequence data with known DNA sequences in GenBank indicate that approximately 25% of the clones match known chicken genes, 39% have similarity to known genes in other species, and 11% had no match to any sequence in the database. Several previously uncharacterized chicken cytokines and their receptors were present in our library. This collection provides a useful database for cataloging genes expressed in T cells and a valuable resource for future investigations of gene expression in avian immunology. Therefore, the Chick EST database was created. | gene, avian, cdna, chicken, clone, cytokine, dna, homology, immunology, mammalian, molecular, nucleotide, poultry, receptor, sequence, splenocyte, t cell |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Delaware; Delaware; USA |
PMID:16554550 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20971 | SCR_002236 | U.D. Chick EST Database, University of Delaware Chick EST Project, University of Delaware Chick EST Database | 2026-08-01 12:08:20 | 18 | |||||||
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Sainsbury Laboratory Bioinformatics Core Facility Resource Report Resource Website 1+ mentions |
Sainsbury Laboratory Bioinformatics Core Facility (RRID:SCR_017185) | TSL Bioinformatics | core facility, service resource, access service resource | Core develops tools for high throughput sequence data to study non reference, non model organisms. | bioinformatics, high, throughput, sequence, data, non reference, non model, organism | Open | SCR_017185 | TSL, Core Facility, The Sainsbury Laboratory, Bioinformatics | 2026-08-01 12:12:39 | 2 | |||||||||
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Stanford Diabetes Research Center Diabetes Genomics Analysis Core Resource Report Resource Website 1+ mentions |
Stanford Diabetes Research Center Diabetes Genomics Analysis Core (RRID:SCR_016213) | GDAC, SDRC-GDAC, SDRC | core facility, service resource, access service resource | Core facility that offers library preparation and sequencing services on a variety of platforms - Illumina HiSeq 4000, MiSeq, HiSeq 2500 and PacBio Sequel - as well as bioinformatics analysis. It can sequence a variety of commercial sample preparation kits as well as custom workflows. DGAC provides access to high throughput sequencing and analysis to researchers at the Stanford Diabetes Research Center. | library, sequence, workflow, bioinformatic, gene, analysis, sequencing |
is related to: Stanford Diabetes Research Center Diabetes Immune Monitoring Core is related to: Stanford Diabetes Research Center Stanford Islet Research Core is related to: Stanford Diabetes Research Center Diabetes Clinical and Translational Core has parent organization: Stanford University; Stanford; California is organization facet of: Stanford Diabetes Research Center |
NIDDK P30 DK116074 | Available to external user | SCR_016213 | SDRC, Genomics Analysis Core, Diabetes Genomics Analysis Core | 2026-08-01 12:12:33 | 1 | |||||||
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Decombinator Resource Report Resource Website 10+ mentions |
Decombinator (RRID:SCR_006732) | software toolkit, software resource, data processing software, software application, data analysis software | Software suite for analysis of T cell receptor repertoire data. Used for fast, efficient analysis of T cell receptor (TcR) repertoire samples, designed to be accessible to those with no previous programming experience. | Python, t-cell receptor sequence, t-cell receptor, sequence, deep sequencing, TCR repertoires, repertoire data, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University College London; London; United Kingdom |
PMID:23303508 PMID:32853330 |
Free, Available for download, Freely available | biotools:decombinator, OMICS_00001 | https://github.com/innate2adaptive/Decombinator, https://bio.tools/decombinator | SCR_006732 | Decombinator v2.2, Decombinator v4.0.3 | 2026-08-02 09:04:42 | 28 | ||||||
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MaizeGDB Resource Report Resource Website 500+ mentions |
MaizeGDB (RRID:SCR_006600) | MaizeGDB | organism-related portal, production service resource, data or information resource, topical portal, database, data repository, service resource, portal, storage service resource, data analysis service, analysis service resource | Collection of data related to crop plant and model organism Zea mays. Used to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models and to provide support services to the community of maize researchers. Data stored at MaizeGDB was inherited from the MaizeDB and ZmDB projects. Sequence data are from GenBank. Data are searchable by phenotype, traits, Pests, Gel Pattern, and Mutant Images. | zea mays, corn, model organism, genome, locus, metabolic pathway, genetics, genomics, sequence, gene product, function, literature reference, phenotype, trait, pest, gel pattern, mutant, blast, gene, image, corn, genotype-environment interaction, gene mapping, plant genome mapping, plant genome, gold standard, bio.tools, FASEB list |
is listed by: re3data.org is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GenBank has parent organization: University of Maryland; Maryland; USA works with: Maize Database of Images and Genomes |
USDA ; USDA/ARS ; NSF ; National Corn Growers Association |
PMID:21624896 PMID:18769488 PMID:15888678 PMID:14681441 |
Free, Freely available, Acknowledgement requested, The community can contribute to this resource | OMICS_01655, biotools:MaizeDIG, nif-0000-03096, r3d100010795 | https://bio.tools/MaizeDIG, https://doi.org/10.17616/R3V32B | SCR_006600 | Maize Genetics and Genomics Database, MaizeGDB, MaizeGDB Locus | 2026-08-02 09:04:42 | 806 | ||||
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1000 Genomes: A Deep Catalog of Human Genetic Variation Resource Report Resource Website 5000+ mentions |
1000 Genomes: A Deep Catalog of Human Genetic Variation (RRID:SCR_006828) | 1000 Genomes | organization portal, data or information resource, database, portal, consortium, data set | International collaboration producing an extensive public catalog of human genetic variation, including SNPs and structural variants, and their haplotype contexts, in an effort to provide a foundation for investigating the relationship between genotype and phenotype. The genomes of about 2500 unidentified people from about 25 populations around the world were sequenced using next-generation sequencing technologies. Redundant sequencing on various platforms and by different groups of scientists of the same samples can be compared. The results of the study are freely and publicly accessible to researchers worldwide. The consortium identified the following populations whose DNA will be sequenced: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. The goal Project is to find most genetic variants that have frequencies of at least 1% in the populations studied. Sequencing is still too expensive to deeply sequence the many samples being studied for this project. However, any particular region of the genome generally contains a limited number of haplotypes. Data can be combined across many samples to allow efficient detection of most of the variants in a region. The Project currently plans to sequence each sample to about 4X coverage; at this depth sequencing cannot provide the complete genotype of each sample, but should allow the detection of most variants with frequencies as low as 1%. Combining the data from 2500 samples should allow highly accurate estimation (imputation) of the variants and genotypes for each sample that were not seen directly by the light sequencing. All samples from the 1000 genomes are available as lymphoblastoid cell lines (LCLs) and LCL derived DNA from the Coriell Cell Repository as part of the NHGRI Catalog. The sequence and alignment data generated by the 1000genomes project is made available as quickly as possible via their mirrored ftp sites. ftp://ftp.1000genomes.ebi.ac.uk ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes | genetic variation, gene, next-generation sequencing, sequence, alignment, genome, single-nucleotide polymorphism, structural variant, haplotype, genome-wide association study, pharmacology, genetics, biomarker, consortium, data sharing, genotype, phenotype, FASEB list |
uses: NHGRI Sample Repository for Human Genetic Research is used by: BioSample Database at EBI is listed by: OMICtools is listed by: re3data.org is listed by: Consortia-pedia is related to: MOSAIK is related to: ART is related to: SNAP - SNP Annotation and Proxy Search has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: Broad Institute has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: National Human Genome Research Institute |
Wellcome Trust Sanger Institute; Hinxton; United Kingdom ; Beijing Genomics Institute; Shenzhen; China ; NHGRI ; 454 Life Sciences Roche ; Life Technologies ; Illumina |
Free, Public, Restrictions apply, Http://www.1000genomes.org/data#DataAccess | r3d100010180, nlx_143819, OMICS_00261 | https://doi.org/10.17616/R3CP4M | SCR_006828 | International 1000 Genomes Project, 1000 Genomes Project | 2026-08-02 09:04:44 | 5486 | |||||
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HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism Resource Report Resource Website 50+ mentions |
HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) | HumanCyc | software resource, production service resource, data or information resource, database, service resource, data analysis service, analysis service resource | The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version. | enzyme, function, functional, gene, genome, genomic, human, human genome, metabolic, metabolism, mitochondrion, nucleotide, pathway, position, reaction, sequence, metabolomics, gene expression, bioreaction, metabolic pathway, nutrition, FASEB list |
is listed by: BioCyc is related to: Pathway Commons is related to: ConsensusPathDB is related to: BioCyc is related to: Pathway Tools has parent organization: Stanford Research Institute International |
Pharmaceutical company ; NIGMS GM092729 |
PMID:15642094 | Public | r3d100011286, nif-0000-21206 | https://doi.org/10.17616/R3ZS72 | SCR_007050 | 2026-08-02 09:04:55 | 60 | |||||
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GOblet Resource Report Resource Website 1+ mentions |
GOblet (RRID:SCR_006998) | GOblet | software resource, production service resource, service resource, software application, data analysis service, analysis service resource | Tool that performs annotation based on GO and pathway terms for anonymous cDNA or protein sequences. It uses the species independent GO structure and vocabulary together with a series of protein databases collected from various sites, to perform a detailed GO annotation by sequence similarity searches. The sensitivity and the reference protein sets can be selected by the user. GOblet runs automatically and is available as a public service on our web server. GOblet expects query sequences to be in FASTA-Format (with header-lines). Protein and nucleotide sequences are accepted. Total size of all sequences submitted per request should not be larger than 50kb currently. For security reasons: Larger post's will be rejected. Due to limited capacities the queries may be processed in batches depending on the server load. The output of the BLAST job is filtered automatically and the relevant hits are displayed. In addition, the respective GO-terms are shown together with the complete GO-hierarchy of parent terms., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, sequence, cdna, ontology or annotation browser, pathway, term enrichment, clustering, virus, genomic, protein, nucleotide |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
BMBF | PMID:20134064 PMID:15215401 PMID:12824400 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30624, OMICS_02271 | http://goblet.molgen.mpg.de | SCR_006998 | 2026-08-02 09:04:54 | 6 | |||||
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NAST Resource Report Resource Website 50+ mentions |
NAST (RRID:SCR_006995) | NAST | simulation software, software resource, software application | A knowledge-based coarse-grained tool for modeling RNA structures. It produces a diverse set of plausible 3D structures that satisfy user-provided constraints based on: 1. primary sequence 2. known or predicted secondary structure 3. known or predicted tertiary contacts (optional) Additionally, NAST can use residue-resolution experimental data (e.g. hydroxyl radical footprinting) to filter the generated decoy structures. NAST uses an RNA-specific knowledge-based potential in a coarse-grained molecular dynamics engine to generate large numbers of plausible 3D structures that satisfy the constraints given on the secondary and tertiary structure. It then filter these structures based on agreement to the experimental data (if available). This results in a model of the molecule which satisfies all the known residue-resolution data. Imported from BiositeMaps registry | 3d, nucleic acid, primary, rna, secondary, sequence, simulation, structure, tertiary, tool | nif-0000-23333 | SCR_006995 | The Nucleic Acid Simulation Tool (NAST), The Nucleic Acid Simulation Tool | 2026-08-02 09:04:48 | 65 | |||||||||
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YeTFaSCo Resource Report Resource Website 10+ mentions |
YeTFaSCo (RRID:SCR_006893) | YeTFaSCo | production service resource, data or information resource, database, data repository, service resource, storage service resource, data analysis service, analysis service resource | Collection of all available transcription factor (TF) specificities for the yeast Saccharomyces cerevisiae in Position Frequency Matrix (PFM) or Position Weight Matrix (PWM) formats. The specificities are evaluated for quality using several metrics. With this website, you can scan sequences with the motifs to find where potential binding sites lie, inspect precomputed genome-wide binding sites, find which TFs have similar motifs to one you have found, and download the collection of motifs. Submissions are welcome. | transcription factor, binding site, sequence, yeast, motif, gene, genome, protein, protein complex |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Graduate Scholarship awards ; Canadian Institutes of Health Research Operating Grant MOP-490425; Canadian Institutes of Health Research Operating Grant MOP-86705 |
PMID:22102575 | Acknowledgement requested | nlx_151611, OMICS_01861 | SCR_006893 | Yeast Transcription Factor Specificity Compendium, YeTFaSCo: The Yeast Transcription Factor Specificity Compendium | 2026-08-02 09:04:46 | 34 | |||||
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Malaria Parasite Metabolic Pathways Resource Report Resource Website 10+ mentions |
Malaria Parasite Metabolic Pathways (RRID:SCR_007072) | Malaria Parasite Metabolic Pathways | image collection, data set, data or information resource | 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 | 2026-08-02 09:04:56 | 20 | |||||||
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BioInfoBank Meta Server Resource Report Resource Website 10+ mentions |
BioInfoBank Meta Server (RRID:SCR_007181) | BioInfoBank | data or information resource, topical portal, 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 | 2026-08-02 09:05:02 | 22 | ||||||||
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VBASE2 Resource Report Resource Website 50+ mentions |
VBASE2 (RRID:SCR_007082) | VBASE2 | production service resource, data or information resource, database, service resource, data analysis service, analysis service resource | Integrative database of germ-line V genes from the immunoglobulin loci of human and mouse. It presents V gene sequences extracted from the EMBL nucleotide sequence database and Ensembl together with links to the respective source sequences. Based on the properties of the source sequences, V genes are classified into 3 different classes: * Class 1: genomic and rearranged evidence * Class 2: genomic evidence only * Class 3: rearranged evidence only This allows careful sequence quality validation by the user. References to other immunological databases ( KABAT, IMGT/LIGM and VBASE ) are given to provide all public annotation data for each V gene. The VBASE2 database can be accessed either by the Direct Query interface or by the DNAPLOT Query interface. The Sequences given by the user are aligned with DNAPLOT against the VBASE2 database. Direct Query allows to enter sequence IDs and names (Field 1), choose species, locus, V gene family and class (Field 2) or search for 100% sequences (Field 3). At the DNAPLOT Query, the sequences given by the user are aligned with DNAPLOT against the VBASE2 database. The DNAPLOT program offers V gene nucleotide sequence alignment referring to the IMGT V gene unique numbering. The Quick Search can be used either for Direct Query to search for sequence IDs and V gene names or for DNAPLOT Query for up to 5 sequences. The new Fab Analysis allows you to align Fab, scFab, scAb or scFv sequences with DNAPLOT against the VBASE2 database, where both heavy and light chain are analyzed. | v gene sequence, v gene, gene, dna, sequence, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: European Nucleotide Archive (ENA) is related to: Ensembl |
BMBF 031U110A/031U210A | PMID:15608286 | Acknowledgement requested | nlx_25238, biotools:germ-line_v_genes | https://bio.tools/germ-line_v_genes | SCR_007082 | VBASE2: the integrative germ-line V gene database | 2026-08-02 09:04:56 | 72 | ||||
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BioEdit Resource Report Resource Website 10000+ mentions |
BioEdit (RRID:SCR_007361) | software resource, data processing software, sequence analysis software, alignment software, software application, data analysis software, image analysis software | Software tool as biological sequence alignment editor written for Windows 95/98/NT/2000/XP/7 and sequence analysis program. Provides sequence manipulation and analysis options and links to external analysis programs to view and manipulate sequences with simple point and click operations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | sequence, alignment, editor, analysis, program | is listed by: SoftCite | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156845 | SCR_007361 | 2026-08-02 09:05:06 | 13339 | |||||||||
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Olfactory Receptor DataBase Resource Report Resource Website 1+ mentions |
Olfactory Receptor DataBase (RRID:SCR_007830) | ORDB | production service resource, data or information resource, database, data repository, service resource, storage service resource, data analysis service, analysis 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 | 2026-08-02 09:05:13 | 4 | ||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | web service, software resource, data access protocol, data or information resource, database, data repository, service resource, storage service resource | 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 | 2026-08-02 09:05:17 | 272 | ||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | data or information resource, database, d spatial image, data repository, service resource, storage service resource, image collection | 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 | 2026-08-02 09:05:14 | 7 | |||||
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Protein Mutant Database Resource Report Resource Website 1+ mentions |
Protein Mutant Database (RRID:SCR_007878) | PMD | data or information resource, database, data repository, 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 | 2026-08-02 09:05:15 | 4 | |||||||||
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REBASE Resource Report Resource Website 100+ mentions |
REBASE (RRID:SCR_007886) | REBASE | database, data or information resource | Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email., | endonuclease, enzyme, genome, archaeal, bacterial, cleavage, crystal, dna, individual protein family databases, isochizomer, methylation, methyltransferase, modification, protein, recognition, restriction, restriction enzyme, sensitivity, sequence, site, methylase, cleavage site, restriction-modification, blast, FASEB list |
has parent organization: New England Biolabs works with: Webcutter |
New England Biolabs Inc ; NLM LM04971 |
PMID:19846593 PMID:17202163 |
r3d100012171, nif-0000-03391 | http://rebase.neb.com, https://doi.org/10.17616/R3J930 | http://www.neb.com/rebase | SCR_007886 | The Restriction Enzyme Database, Restriction Enzyme Database | 2026-08-02 09:05:14 | 246 | ||||
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Centre for Modeling Human Disease Gene Trap Resource Resource Report Resource Website 1+ mentions |
Centre for Modeling Human Disease Gene Trap Resource (RRID:SCR_002785) | CMHD Gene Trap Resource | production service resource, biomaterial manufacture, service resource, material service resource | Generate gene trap insertions using mutagenic polyA trap vectors, followed by sequence tagging to develop a library of mutagenized ES cells freely available to the scientific community. This library is searchable by sequence or key word searches including gene name or symbol, chromosome location, or Gene Ontology (GO) terms. In addition,they offer a custom email alert service in which researchers are able to submit search criteria. Researchers will receive automated e-mail notification of matching gene trap clones as they are entered into the library and database. The resource features the use of complementary second and third generation polyA trap vectors developed by the Stanford lab and the laboratory of Professor Yasumasa Ishida of the Nara Institute of Science and Technology (NAIST) in Japan to mutagenize murine embryonic stem (ES) cells. CMHD gene trap clones are distributed by the Canadian Mouse Mutant Repository(CMMR). Information about ordering, services, and pricing can be found on their web site (http://www.cmmr.ca/services/index.html)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | embryonic stem cell, polya trap vector, gene trap, insertion, mutagenic polya trap vector, sequence, expression, mutagenesis, gene, mutation, expression profile, phenotype, database, gene expression, vector insertion, expressed sequence tag, blast, clone |
is related to: Gene Ontology is related to: CMMR - Canadian Mouse Mutant Repository is related to: International Gene Trap Consortium has parent organization: CMHD - Centre for Modeling Human Disease |
Canadian Institutes of Health Research ; Genome Canada ; Genome Prairie ; NIH |
PMID:14681480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02891 | http://www.cmhd.ca/sub/genetrap.asp | SCR_002785 | Centre for Modeling Human Disease (CMHD) Gene Trap Resource | 2026-08-02 09:03:35 | 3 |
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