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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool Resource Report Resource Website 1+ mentions |
GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool (RRID:SCR_003191) | GOLEM | production service resource, data analysis service, source code, analysis service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented July 7, 2017. Welcome to the home of GOLEM: An interactive, graphical gene-ontology visualization, navigation,and analysis tool on the web. GOLEM is a useful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy. Users can also load annotations for various organisms into the ontology in order to search for particular genes, or to limit the display to show only GO terms relevant to a particular organism, or to quickly search for GO terms enriched in a set of query genes. GOLEM is implemented in Java, and is available both for use on the web as an applet, and for download as a JAR package. A brief tutorial on how to use GOLEM is available both online and in the instructions included in the program. We also have a list of links to libraries used to make GOLEM, as well as the various organizations that curate organism annotations to the ontology. GOLEM is available as a .jar package and a macintosh .app for use on- or off- line as a stand-alone package. You will need to have Java (v.1.5 or greater) installed on your system to run GOLEM. Source code (including Eclipse project files) are also available. GOLEM (Gene Ontology Local Exploration Map)is a visualization and analysis tool for focused exploration of the gene ontology graph. GOLEM allows the user to dynamically expand and focus the local graph structure of the gene ontology hierarchy in the neighborhood of any chosen term. It also supports rapid analysis of an input list of genes to find enriched gene ontology terms. The GOLEM application permits the user either to utilize local gene ontology and annotations files in the absence of an Internet connection, or to access the most recent ontology and annotation information from the gene ontology webpage. GOLEM supports global and organism-specific searches by gene ontology term name, gene ontology id and gene name. CONCLUSION: GOLEM is a useful software tool for biologists interested in visualizing the local directed acyclic graph structure of the gene ontology hierarchy and searching for gene ontology terms enriched in genes of interest. It is freely available both as an application and as an applet. | gene ontology, ontology visualization, ontology analysis |
is related to: Gene Ontology has parent organization: Princeton University; New Jersey; USA |
NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:17032457 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30620 | https://lsi.princeton.edu/golem-interactive-graph-based-gene-ontology-navigation-and-analysis-tool | SCR_003191 | GOLEM An interactive graphical gene-ontology visualization navigation and analysis tool, GOLEM An interactive graphical gene-ontology visualization navigation analysis tool | 2026-08-03 09:32:00 | 3 | ||||
|
KOBAS Resource Report Resource Website 1000+ mentions |
KOBAS (RRID:SCR_006350) | KOBAS | production service resource, data analysis service, analysis 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 | 2026-08-03 09:33:03 | 4787 | ||||||
|
MGI GO Browser Resource Report Resource Website 1+ mentions |
MGI GO Browser (RRID:SCR_006489) | MGI GO Browser | production service resource, data analysis service, service resource, database, analysis service resource, data or information 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 | 2026-08-03 09:33:02 | 7 | ||||||||
|
Gene Ontology For Functional Analysis (GOFFA) Resource Report Resource Website 1+ mentions |
Gene Ontology For Functional Analysis (GOFFA) (RRID:SCR_006484) | GOFFA | software resource, data processing software, software application, data analysis software | 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 | 2026-08-03 09:33:02 | 7 | |||||
|
Ontology Lookup Service Resource Report Resource Website 10+ mentions |
Ontology Lookup Service (RRID:SCR_006596) | OLS | web service, database, source code, data access protocol, data or information resource, software resource | 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) | 2026-08-03 09:33:07 | 24 | |||
|
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 | 2026-08-03 09:33:01 | 12 | |||||||
|
InnateDB Resource Report Resource Website 100+ 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 | 2026-08-03 09:33:08 | 496 | |||
|
canSAR Resource Report Resource Website 50+ mentions |
canSAR (RRID:SCR_006794) | canSAR | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data. | molecular target, expression, cell line, compound, molecule, protein, structure, ligand, drug, 3d, genomics, 3d complex, bioactivity, protein affinity, cell line sensitivity, pathway, annotation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: BindingDB is related to: Gene Ontology has parent organization: Cancer Research UK |
Cancer | Cancer Research UK C309/A8274 | PMID:22013161 | CanSAR is freely available to all cancer researchers. By using canSAR you are agreeing to the Terms of Use, Https://cansar.icr.ac.uk/cansar/terms-of-use/ | biotools:cansar, nlx_149410 | https://bio.tools/cansar | SCR_006794 | 2026-08-03 09:33:10 | 54 | ||||
|
Aging Portal Resource Report Resource Website |
Aging Portal (RRID:SCR_000496) | Aging | portal, database, topical portal, catalog, data or information resource | Portal devoted to aging relevant scientific data and resources. | late adult human, senescence |
uses: Aging Genes and Interventions Database uses: anage uses: Human Life-Table Database uses: Gene Ontology uses: Grants.gov uses: Integrated Blogs uses: Integrated Clinical Trials uses: Integrated Videos uses: Integrated Grants uses: Lifespan Observations Database uses: One Mind Biospecimen Bank Listing uses: Gait in Parkinson's Disease uses: SciCrunch Registry has parent organization: SciCrunch |
Aging | NIA 1R03AG043018-01 | Restricted | nlx_158366 | SCR_000496 | 2026-08-03 09:31:04 | 0 | ||||||
|
MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | production service resource, data analysis service, data or information resource, software application, database, data processing software, data analysis software, source code, analysis service resource, service resource, software resource | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | The MEME Suite | 2026-08-03 09:31:30 | 2091 | |||
|
AmiGO Resource Report Resource Website 1000+ mentions |
AmiGO (RRID:SCR_002143) | AmiGO | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium. | search, sort, analyze, visualize, data, ontology, gene, annotation, FASEB list |
uses: GOlr is used by: NIF Data Federation is listed by: OMICtools is listed by: Gene Ontology Tools is related to: ASAP is related to: Candida Genome Database is related to: Berkeley Bioinformatics Open-Source Projects is related to: ECO is related to: Zebrafish Information Network (ZFIN) is related to: Gramene is related to: WormBase is related to: NCBI Protein Database is related to: UniProtKB is related to: GeneDB Lmajor is related to: TAIR is related to: SGD is related to: GeneDB Tbrucei is related to: VMD is related to: JCVI CMR is related to: go-db-perl is related to: Mouse Genome Informatics (MGI) is related to: NCBI is related to: FlyBase is related to: GeneDB Pfalciparum is related to: PomBase is related to: Pseudomonas Genome Database is related to: Dictyostelium discoideum genome database is related to: Plant Ontology is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: MeGO is related to: ASPGD is related to: EcoCyc is related to: Reactome is related to: SGN is related to: GO-Module is related to: Songbird Brain Transcriptome Database is related to: Rat Genome Database (RGD) is related to: RamiGO has parent organization: Gene Ontology |
NHGRI P41 HG002273 | PMID:19033274 | Free, Available for download, Freely available | nif-0000-20935, OMICS_02266 | http://sourceforge.net/projects/geneontology/ | SCR_002143 | GO Consortium, AmiGO, AmiGO 2, AmiGene Ontology, Gene Ontology Database, Gene Ontology Consortium, GO Database, The Gene Ontology Consortium | 2026-08-03 09:31:34 | 1242 | ||||
|
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 | production service resource, data analysis service, software application, data processing software, source code, analysis service resource, service resource, software resource | 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 | 2026-08-03 09:34:14 | 108 | ||||
|
Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | production service resource, data analysis service, web service, data or information resource, database, analysis service resource, data access protocol, service resource, software resource | 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 |
Spanish Ministerio de Sanidad y Consumo ; Junta de Castilla y Leon |
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) | 2026-08-03 09:33:58 | 14 | ||||
|
LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | production service resource, data analysis service, service resource, database, analysis service resource, data or information 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 | 2026-08-03 09:34:10 | 19 | |||||
|
GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | production service resource, data analysis service, software application, data processing software, analysis service resource, service resource, 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 | 2026-08-03 09:34:09 | 3 | |||||
|
Onto-Express To Go (OE2GO) Resource Report Resource Website |
Onto-Express To Go (OE2GO) (RRID:SCR_008854) | OE2GO | production service resource, data analysis service, software application, analysis service resource, text-mining software, service resource, software resource | 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 | 2026-08-03 09:33:58 | 0 | ||||||
|
Renal Disease Portal Resource Report Resource Website |
Renal Disease Portal (RRID:SCR_009030) | Renal Disease Portal | portal, disease-related portal, topical portal, data or information resource, data set | An integrated resource for information on genes, QTLs and strains associated with a variety of kidney and renal system conditions such as Renal Hypertension, Polycystic Kidney Disease and Renal Insufficiency, as well as Kidney Neoplasms. | gene, quantitative trait locus, strain, renal hypertension, kidney neoplasm, phenotype, pathway, biological process, disease, kidney, genome, gviewer, chromosome, molecular function, cellular component, visualization, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Renal disease, Renal hypertension, Polycystic kidney disease, Renal insufficiency, Kidney neoplasm, Diabetes Insipidus, Hyperoxaluria, Renal hypertension, Nephritis, Nephrocalcinosis, Nephrolithiasis, Nephrosis, Renal Fibrosis, Inborn Error of Renal Tubular Transport, Uremia | nlx_153941 | SCR_009030 | RGD Renal Disease Portal | 2026-08-03 09:34:19 | 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 | 2026-08-03 09:34:52 | 59 | ||||||
|
Algal Functional Annotation Tool Resource Report Resource Website |
Algal Functional Annotation Tool (RRID:SCR_012034) | Algal Functional Annotation Tool | production service resource, data analysis service, data or information resource, database, analysis service resource, service resource | Tools to search gene lists for functional term enrichment as well as to dynamically visualize proteins onto pathway maps. Additionally, integrated expression data may be used to discover similarly expressed genes based on a starting gene of interest. | gene, pathway, visualization, annotation, function, protein family, ontology, protein, genomics |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: MetaCyc is related to: Reactome is related to: Pfam is related to: InterPro has parent organization: University of California at Los Angeles; California; USA |
DOE ; NAABB ; IGP ; Air Force Office of Scientific Research |
PMID:21749710 | OMICS_02226 | SCR_012034 | 2026-08-03 09:34:47 | 0 | |||||||
|
L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | data repository, production service resource, data analysis service, service resource, software application, data processing software, database, data analysis software, storage service resource, analysis service resource, data or information resource, software resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-08-03 09:35:15 | 1 |
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.
