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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Generic GO Term Finder Resource Report Resource Website 100+ mentions |
Generic GO Term Finder (RRID:SCR_008870) | GOTermFinder, GO-TermFinder, GO Term Finder, GO::TermFinder | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource, source code | The Generic GO Term Finder finds the significant GO terms shared among a list of genes from an organism, displaying the results in a table and as a graph (showing the terms and their ancestry). The user may optionally provide background information or a custom gene association file or filter evidence codes. This tool is capable of batch processing multiple queries at once. GO::TermFinder comprises a set of object-oriented Perl modules GO::TermFinder can be used on any system on which Perl can be run, either as a command line application, in single or batch mode, or as a web-based CGI script. This implementation, developed at the Lewis-Sigler Institute at Princeton, depends on the GO-TermFinder software written by Gavin Sherlock and Shuai Weng at Stanford University and the GO:View module written by Shuai Weng. It is made publicly available through the GMOD project. The full source code and documentation for GO:TermFinder are freely available from http://search.cpan.org/dist/GO-TermFinder/. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, graph, visualization, genomics, gene association, ontology or annotation visualization, term enrichment, ontology, process, function, component, enrichment, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA has parent organization: Comprehensive Perl Archive Network |
NHGRI 1R01HG002732 | PMID:15297299 | Free for academic use | nlx_149293, biotools_go_term_finder | https://bio.tools/go_term_finder | SCR_008870 | Generic Gene Ontology (GO) Term Finder, Generic Gene Ontology Term Finder | 2026-10-17 01:27:08 | 108 | ||||
|
Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier. | protein, protein interaction, interactions, ppi, interactomes, analysis, gene, ontology, functional, environment, data, network, graphic, visualize |
is listed by: Gene Ontology Tools is related to: PSICQUIC Registry is related to: Gene Ontology is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: IntAct is related to: MINT has parent organization: University of Salamanca; Salamanca; Spain |
Junta de Castilla y Leon ; Spanish Ministerio de Sanidad y Consumo |
PMID:27131791 PMID:30715274 |
Free for academic use | r3d100012339, nlx_149321 | https://doi.org/10.17616/R3407P, https://doi.org/10.17616/R3407P | SCR_008871 | Agile Protein Interactomes DataServer, APID, APID Interactomes, Agile Protein Interactomes DataServer (APID), APID (Agile Protein Interactomes DataServer) | 2026-10-17 01:27:33 | 14 | ||||
|
LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-10-17 01:27:20 | 23 | |||||
|
GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | Gene Ontology for Motifs | 2026-10-17 01:27:33 | 3 | |||||
|
Onto-Express To Go (OE2GO) Resource Report Resource Website |
Onto-Express To Go (OE2GO) (RRID:SCR_008854) | OE2GO | analysis service resource, data analysis service, production service resource, service resource, software application, software resource, text-mining software | Onto-Express is a web-based tool in the Onto-Tools suite that performs automated function profiling for a list of differentially expressed genes. However, Onto-Express does not support functional profiling for the organisms that do not have annotations in public domain, or use of custom (i.e. user-defined) ontologies. This limitation is also true for most of the other existing tools for functional profiling, which means that researchers working with uncommon organisms and/or new annotations or ontologies may be forced to construct such profiles manually. Onto-Express To Go (OE2GO) is a new tool added to the Onto-Tools ensemble to address these issues. OE2GO is built on top of OE to leverage its existing functionality. In OE2GO, the users now have an option to use either the Onto-Tools database as a source of functional annotations or provide their own annotations in a separate file. Currently, OE2GO supports annotation file in the Gene Ontology format. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, gene expression, annotation, data mining, ontology browser, annotation browser, ontology search engine, annotation search engine, ontology visualization, annotation visualization, statistical analysis, term enrichment, browser, visualization, search engine |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:17584796 | Free for academic use | nlx_149112 | SCR_008854 | Onto-Express-to-go, Onto-Express To Go | 2026-10-17 01:27:32 | 0 | ||||||
|
Renal Disease Portal Resource Report Resource Website |
Renal Disease Portal (RRID:SCR_009030) | Renal Disease Portal | data or information resource, data set, disease-related portal, portal, topical portal | An integrated resource for information on genes, QTLs and strains associated with a variety of kidney and renal system conditions such as Renal Hypertension, Polycystic Kidney Disease and Renal Insufficiency, as well as Kidney Neoplasms. | gene, quantitative trait locus, strain, renal hypertension, kidney neoplasm, phenotype, pathway, biological process, disease, kidney, genome, gviewer, chromosome, molecular function, cellular component, visualization, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Renal disease, Renal hypertension, Polycystic kidney disease, Renal insufficiency, Kidney neoplasm, Diabetes Insipidus, Hyperoxaluria, Renal hypertension, Nephritis, Nephrocalcinosis, Nephrolithiasis, Nephrosis, Renal Fibrosis, Inborn Error of Renal Tubular Transport, Uremia | nlx_153941 | SCR_009030 | RGD Renal Disease Portal | 2026-10-17 01:27:15 | 0 | |||||||
|
UBERON Resource Report Resource Website 50+ mentions |
UBERON (RRID:SCR_010668) | UBERON | controlled vocabulary, data or information resource, ontology | An integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data. Uberon consists of over 10000 classes (March 2014) representing structures that are shared across a variety of metazoans. The majority of these classes are chordate specific, and there is large bias towards model organisms and human. | anatomy, comparative, evolution, organ system, anatomical structure, body part, organ, tissue, body, vertebrate, function, phenotype, expression, model organism, obo |
is used by: Neuroscience Information Framework is listed by: BioPortal is related to: Gene Ontology has parent organization: OBO |
ARRA ; NSF ; NHGRI 5R01HG004838; NHGRI P41HG002273; DOE DE-AC02-05CH11231; NCRR 1U24RR029825-01; NHGRI P41HG002273-09S1 |
PMID:22293552 | nlx_74404 | SCR_010668 | Uber anatomy ontology, Uber-anatomy ontology | 2026-10-17 01:27:40 | 62 | ||||||
|
NCBI BioSystems Database Resource Report Resource Website 100+ mentions |
NCBI BioSystems Database (RRID:SCR_004690) | BioSystems | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them. | pathway, disease, gene, protein, small molecule, literature, computation, image, biomarker, drug, structural complex, functional set, biological system, molecule, gold standard, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: NCBI Structure is related to: BioCyc is related to: EcoCyc is related to: MetaCyc is related to: Reactome is related to: Pathway Interaction Database is related to: WikiPathways is related to: Gene Ontology has parent organization: NCBI |
NIH | PMID:19854944 | r3d100011033, biotools:biosystems, nlx_69646 | https://bio.tools/biosystems, https://doi.org/10.17616/R31K80 | SCR_004690 | BioSystems Database, NCBI BioSystems | 2026-10-17 01:25:57 | 118 | |||||
|
QuickGO Resource Report Resource Website 500+ mentions |
QuickGO (RRID:SCR_004608) | QuickGO | controlled vocabulary, data access protocol, data or information resource, database, ontology, software resource, web service | A web-based browser for Gene Ontology terms and annotations, which is provided by the UniProtKB-GOA group at the EBI. It is able to offer a range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. The software for QuickGO is freely available under the Apache 2 license. QuickGO can supply GO term information and GO annotation data via REST web services. | gene, ontology, annotation, browser, visualization, search engine, slimmer-type tool, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, windows, mac os x, linux, unix, gold standard, bio.tools |
is listed by: OMICtools is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: STRAP has parent organization: European Bioinformatics Institute |
BBSRC BB/E023541/1 | PMID:19744993 PMID:20157483 |
Apache License, v2, Free for academic use | biotools:quickgo, nlx_60318, OMICS_02276 | https://bio.tools/quickgo | SCR_004608 | Quick GO | 2026-10-17 01:26:13 | 556 | ||||
|
KOBAS Resource Report Resource Website 5000+ mentions |
KOBAS (RRID:SCR_006350) | KOBAS | analysis service resource, data analysis service, production service resource, service resource, software resource | Web server to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). A standalone command line version is also available, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | ortholog, pathway, disease, gene, protein, annotation, command line, FASEB list |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: OMIM is related to: Pathway Interaction Database is related to: BioCarta Pathways is related to: Reactome is related to: BioCyc is related to: PANTHER is related to: FunDO is related to: Genetic Association Database is related to: GWAS: Catalog of Published Genome-Wide Association Studies has parent organization: Peking University; Beijing; China |
PMID:21715386 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02228 | SCR_006350 | KEGG Orthology Based Annotation System | 2026-10-17 01:26:32 | 5008 | ||||||
|
MGI GO Browser Resource Report Resource Website 1+ mentions |
MGI GO Browser (RRID:SCR_006489) | MGI GO Browser | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | With the MGI GO Browser, you can search for a GO term and view all mouse genes annotated to the term or any subterms. You can also browse the ontologies to view relationships between terms, term definitions, as well as the number of mouse genes annotated to a given term and its subterms. The MGI GO browser directly accesses the GO data in the MGI database, which is updated nightly. Platform: Online tool | gene, ontology, browser, molecular function, biological process, cellular component, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Mouse Genome Informatics (MGI) |
Free for academic use | nlx_149104 | SCR_006489 | 2026-10-17 01:26:35 | 8 | ||||||||
|
Gene Ontology For Functional Analysis (GOFFA) Resource Report Resource Website 1+ mentions |
Gene Ontology For Functional Analysis (GOFFA) (RRID:SCR_006484) | GOFFA | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 23,2023. Software tool developed for ArrayTrack that takes a list of genes and identifies terms in Gene Ontology associated with those genes. GOFFA provides tools to view/access the following: GO term hierarchy, full listing of GO terms annotated with the genes associated with a given term, Fisher's exact test p-value providing the probability of identifying that many genes for a given term by chance alone, and relative enrichment factor (E-value) giving the enrichment of a GO term for genes in the submitted list relative to the frequency of genes assigned to that term from the full set of GOFFA annotated genes for a particular species. | gene ontology, proteomic, visualization, fisher's exact test, browser, search engine, term enrichment, text mining, ontology browser, annotation browser, ontology visualization, annotation visualization, database, data warehouse, software, identify term |
is used by: ArrayTrack is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: National Center for Toxicological Research |
PMID:17118145 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149101 | http://edkb.fda.gov/webstart/arraytrack/ | SCR_006484 | Gene Ontology For Functional Analysis | 2026-10-17 01:26:35 | 9 | |||||
|
Mouse Genome Informatics: The Gene Ontology Project Resource Report Resource Website 10+ mentions |
Mouse Genome Informatics: The Gene Ontology Project (RRID:SCR_006447) | controlled vocabulary, data or information resource, database | This resource is part of the Gene Ontology Consortium which seeks to provide controlled vocabularies for the description of the molecular function, biological process, and cellular component of gene products. These terms are to be used as attributes of gene products by collaborating databases, facilitating uniform queries across them. GO team members at MGI participate in ontology development, outreach, and functional curation of mouse gene products. The GO vocabularies have a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low level, highly specific terms. This broad range is useful both in annotating genes and in searching for gene information using these terms as search criteria. GO terms are defined, allowing all databases to use the terms consistently and properly. GO annotations in the databases additionally include the publication reference which allowed the association to be made and an evidence statement citing how the association was determined. | function, gene, biological, cellular, component, molecular, process, product |
is affiliated with: Gene Ontology has parent organization: Jackson Laboratory |
NHGRI HG002273 | Available to the research community | nif-0000-10304 | SCR_006447 | Gene Ontology (GO) Project, MGI: GO Project, Gene Ontology Project | 2026-10-17 01:26:36 | 14 | |||||||
|
Ontology Lookup Service Resource Report Resource Website 10+ mentions |
Ontology Lookup Service (RRID:SCR_006596) | OLS | data access protocol, data or information resource, database, software resource, source code, web service | Interactive and programmatic interfaces to query, browse and navigate an increasing number of biomedical ontologies and controlled vocabularies. It provides a web service interface to query multiple ontologies from a single location with a unified output format. It can integrate any ontology available in the Open Biomedical Ontology (OBO) format. The database can be queried to obtain information on a single term or to browse a complete ontology using AJAX. Auto-completion provides a user-friendly search mechanism. An AJAX-based ontology viewer is available to browse a complete ontology or subsets of it. A weekly MySQL database export file can be downloaded from the EBI public FTP directory. | ontology, ontology or annotation browser, ontology or annotation search engine, gold standard |
lists: Cell Type Ontology is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: OBO-Edit is related to: OBO has parent organization: European Bioinformatics Institute |
BBSRC ; iSPIDER ; European Union FP6 Felics contract 021902 (RII3) |
PMID:18467421 PMID:16507094 |
Apache License, v2, Acknowledgement requested | OMICS_02275, nif-0000-10390, r3d100010413 | https://doi.org/10.17616/R3GS9G | http://www.ebi.ac.uk/ols | SCR_006596 | OLS - Ontology Lookup Service, Ontology Lookup Service (OLS) | 2026-10-17 01:26:38 | 24 | |||
|
LexGrid Resource Report Resource Website 1+ mentions |
LexGrid (RRID:SCR_006627) | LexGrid | software resource | LexGrid (Lexical Grid) provides support for a distributed network of lexical resources such as terminologies and ontologies via standards-based tools, storage formats, and access/update mechanisms. The Lexical Grid Vision is for a distributed network of terminological resources. It is the foundation of the National Center for Biomedical Ontology BioPortal interface and web-services, and can parse OBO format, as well as other formats such as OWL. Currently, there are many terminologies and ontologies in existence. Just about every terminology has its own format, its own set of tools, and its own update mechanisms. The only thing that most of these pieces have in common with each other is their incompatibility. This makes it very hard to use these resources to their full potential. We have designed the Lexical Grid as a way to bridge terminologies and ontologies with a common set of tools, formats and update mechanisms. The Lexical Grid is: * accessible through a set of common APIs * joined through shared indices * online accessible * downloadable * loosely coupled * locally extendable * globally revised * available in web-space on web-time * cross-linked The realization of this vision requires three interlocking components, which are: * Standards - access methods and formats need to be published and openly available * Tools - standards based tools must be readily available * Content - commonly used terminologies have to be available for access and download Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, parse, ontology |
is listed by: BioPortal is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: OBO has parent organization: European Bioinformatics Institute has parent organization: National Cancer Institute |
NIH ; Cancer Biomedical Informatics Grid ; NLM LM07319 |
PMID:19261933 | Free for academic use | nlx_149194 | http://www.lexgrid.org/ | SCR_006627 | Lexical Grid | 2026-10-17 01:26:39 | 1 | ||||
|
InnateDB Resource Report Resource Website 500+ mentions |
InnateDB (RRID:SCR_006714) | InnateDB | data or information resource, database | Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice. | gene, immune response, pathway, protein, signaling pathway, interaction, immune, signaling response, gene, orthology prediction, orthology, ortholg, annotation, interactome, gene expression, molecule, protein-protein interaction, molecular interaction, visualization, nucleic acid-protein, nucleic acid, network, web service, transcription factor binding site, software resource, FASEB list |
is listed by: re3data.org is related to: IMEx - The International Molecular Exchange Consortium is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry is related to: PSICQUIC Registry is related to: Gene Ontology is related to: IntAct has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: University of British Columbia; British Columbia; Canada works with: IMEx - The International Molecular Exchange Consortium |
Microbial infection, Allergy, Asthma | Michael Smith Foundation for Health Research ; AllerGen 12ASI1; AllerGen 12B&B2; Teagasc RMIS6018; European Union PSIMEx project contract FP7-HEALTH-2007-223411 |
PMID:23180781 PMID:18766178 |
Free, Freely available | nif-0000-20808, r3d100010676 | https://doi.org/10.17616/R36S43 | SCR_006714 | A Knowledge Resource for Innate Immunity Interactions and Pathways, InnateDB: Systems Biology of the Innate Immune Response, InnateDB - A Knowledge Resource for Innate Immunity Interactions and Pathways | 2026-10-17 01:26:40 | 571 | |||
|
MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | MouseNET | 2026-10-17 01:25:30 | 3 | |||||
|
GOlr Resource Report Resource Website 1+ mentions |
GOlr (RRID:SCR_003939) | GOlr | software resource | A public Solr index for the Gene Ontology. This index will replace some of the query functionality for GOOSE as well as become the new backend for AmiGO 2 and other services. | solr |
is used by: AmiGO has parent organization: Gene Ontology |
Public | nlx_158322 | http://golr.berkeleybop.org/ | SCR_003939 | Gene Ontology Solr index | 2026-10-17 01:25:57 | 4 | ||||||
|
GeneSpeed- A Database of Unigene Domain Organization Resource Report Resource Website |
GeneSpeed- A Database of Unigene Domain Organization (RRID:SCR_002779) | analysis service resource, data analysis service, data or information resource, database, production service resource, resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Database and customized tools to study the PFAM protein domain content of the transcriptome for all expressed genes of Homo sapiens, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans tethered to both a genomics array repository database and a range of external information resources. GeneSpeed has merged information from several existing data sets including the Gene Ontology Consortium, InterPro, Pfam, Unigene, as well as micro-array datasets. GeneSpeed is a database of PFAM domain homology contained within Unigene. Because Unigene is a non-redundant dbEST database, this provides a wide encompassing overview of the domain content of the expressed transcriptome. We have structured the GeneSpeed Database to include a rich toolset allowing the investigator to study all domain homology, no matter how remote. As a result, homology cutoff score decisions are determined by the scientist, not by a computer algorithm. This quality is one of the novel defining features of the GeneSpeed database giving the user complete control of database content. In addition to a domain content toolset, GeneSpeed provides an assortment of links to external databases, a unique and manually curated Transcription Factor Classification list, as well as links to our newly evolving GeneSpeed BetaCell Database. GeneSpeed BetaCell is a micro-array depository combined with custom array analysis tools created with an emphasis around the meta analysis of developmental time series micro-array datasets and their significance in pancreatic beta cells. | molecular neuroanatomy resource, drosophila melanogaster, genome, caenorhabditis elegans, c. elegans, genomics, homo sapiens, mus musculus, protein domain, transcriptome |
is related to: Gene Ontology is related to: InterPro is related to: Pfam is related to: UniGene has parent organization: University of Colorado Denver; Colorado; USA |
NIDDK P30DK57516; NIDDK DK61248 |
PMID:17132830 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02887 | http://genespeed.uchsc.edu/, http://genespeed.ccf.org | SCR_002779 | GeneSpeed Database | 2026-10-17 01:25:43 | 0 | |||||
|
FlyMine Resource Report Resource Website 100+ mentions |
FlyMine (RRID:SCR_002694) | FlyMine | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Integrated database of genomic, expression and protein data for Drosophila, Anopheles, C. elegans and other organisms. You can run flexible queries, export results and analyze lists of data. FlyMine presents data in categories, with each providing information on a particular type of data (for example Gene Expression or Protein Interactions). Template queries, as well as the QueryBuilder itself, allow you to perform searches that span data from more than one category. Advanced users can use a flexible query interface to construct their own data mining queries across the multiple integrated data sources, to modify existing template queries or to create your own template queries. Access our FlyMine data via our Application Programming Interface (API). We provide client libraries in the following languages: Perl, Python, Ruby and & Java API | anopheles, genome, c. elegans, drosophila, gene, chromosomal location, genomics, proteomics, gene expression, interaction, homology, function, regulation, protein, phenotype, pathway, disease, publication, FASEB list |
is related to: FlyBase is related to: UniProt is related to: Ensembl is related to: InterPro is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: Tree families database is related to: IntAct is related to: Gene Ontology is related to: GOA is related to: ArrayExpress is related to: REDfly Regulatory Element Database for Drosophilia is related to: KEGG is related to: Reactome has parent organization: University of Cambridge; Cambridge; United Kingdom |
Wellcome Trust 067205; NHGRI |
PMID:17615057 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02845 | SCR_002694 | 2026-10-17 01:25:31 | 107 |
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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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.
