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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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GoMiner Resource Report Resource Website 100+ mentions |
GoMiner (RRID:SCR_002360) | GoMiner | data processing software, software application, software resource | GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches. | experiment, expression, function, gene, genomics, biological, genomic, microarray, omic, process, gene expression, gene ontology, biological process, biological function, biological component, proteomic, database, FASEB list |
is related to: Gene Ontology is related to: High-Throughput GoMiner has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA has parent organization: National Cancer Institute |
NCI ; Georgia Institute of Technology; Georgia; USA ; Emory University; Georgia; USA |
PMID:12702209 | nif-0000-21181 | SCR_002360 | 2026-09-19 12:55:51 | 115 | |||||||
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Mouse Genome Informatics (MGI) Resource Report Resource Website 1000+ mentions |
Mouse Genome Informatics (MGI) (RRID:SCR_006460) | MGI | data or information resource, database | International database for laboratory mouse. Data offered by The Jackson Laboratory includes information on integrated genetic, genomic, and biological data. MGI creates and maintains integrated representation of mouse genetic, genomic, expression, and phenotype data and develops reference data set and consensus data views, synthesizes comparative genomic data between mouse and other mammals, maintains set of links and collaborations with other bioinformatics resources, develops and supports analysis and data submission tools, and provides technical support for database users. Projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, and MouseCyc Project at MGI. | RIN, Resource Information Network, molecular neuroanatomy resource, human health, human disease, animal model, gene expression, phenotype, genotype, gene, pathway, orthology, tumor, strain, single nucleotide polymorphism, recombinase, function, blast, image, pathology, model, data analysis service, genome, genetics, gold standard, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is used by: Cytokine Registry is used by: NIH Heal Project is recommended by: Resource Identification Portal is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is listed by: NIH Data Sharing Repositories is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: MONARCH Initiative is related to: MouseCyc is related to: AmiGO is related to: Gene Expression Database is related to: Bgee: dataBase for Gene Expression Evolution is related to: HomoloGene is related to: Rat Gene Symbol Tracker is related to: Enhancer Trap Line Browser is related to: Integrated Brain Gene Expression is related to: MalaCards is related to: Gene Ontology is related to: BioMart Project is related to: NIH Data Sharing Repositories is related to: RIKEN integrated database of mammals is related to: JAX Neuroscience Mutagenesis Facility is related to: PhenoGO is related to: International Mouse Strain Resource is related to: Mouse Genome Database is related to: Mouse Tumor Biology Database has parent organization: Jackson Laboratory is parent organization of: Anatomy of the Laboratory Mouse is parent organization of: Mouse Genome Informatics Transgenes is parent organization of: Federation of International Mouse Resources is parent organization of: MGI GO Browser is parent organization of: Recombinase (cre) Activity is parent organization of: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project is parent organization of: Deltagen and Lexicon Knockout Mice and Phenotypic Data Resource is parent organization of: MGI strains is parent organization of: MPO is parent organization of: Phenotypes and Mutant Alleles is parent organization of: Human Mouse Disease Connection is parent organization of: Functional Annotation is parent organization of: Strains, SNPs and Polymorphisms is parent organization of: Vertebrate Homology is parent organization of: Batch Data and Analysis Tool is parent organization of: Nomenclature |
NCI CA089713; NHGRI HG000330; NHGRI HG002273; NICHD HD033745 |
PMID:19274630 PMID:18428715 |
Free, Freely available | nif-0000-00096, OMICS_01656, r3d100010266 | http://www.informatics.jax.org/batch, http://www.informatics.jax.org/submit.shtml, http://www.informatics.jax.org/expression.shtml, https://doi.org/10.17616/R35P54 | SCR_006460 | , MGI, Mouse Genome Informatics | 2026-09-19 12:56:58 | 1220 | ||||
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GOEAST - Gene Ontology Enrichment Analysis Software Toolkit Resource Report Resource Website 10+ mentions |
GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) | GOEAST | analysis service resource, data analysis service, production service resource, service resource | Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool | statistical analysis, gene ontology, high-throughput, microarray, hybridization, gene, visualization, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Chinese Academy of Sciences; Beijing; China |
National Natural Science Foundation of China 30725014; National Natural Science Foundation of China 90612019; Ministry of Science and Technology of China 2007CB946901; Chinese Academy of Sciences KSCX2-YW-R-134; Chinese Academy of Sciences KSCX2-YW-N-024 |
PMID:18487275 | Free for academic use | biotools:goeast, nlx_149248 | https://bio.tools/goeast | SCR_006580 | Gene Ontology Enrichment Analysis Software Toolkit, Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) | 2026-09-19 12:56:58 | 40 | ||||
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GeneTerm Linker Resource Report Resource Website 1+ mentions |
GeneTerm Linker (RRID:SCR_006385) | GTLinker | analysis service resource, data analysis service, production service resource, service resource | Web application that filters and links enriched output data identifying sets of associated genes and terms, producing metagroups of coherent biological significance. The method uses fuzzy reciprocal linkage between genes and terms to unravel their functional convergence and associations. It can also be accessed through its web service. | gene, functional annotation, function, functional metagroup, p-value, annotation, web service |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: InterPro has parent organization: Spanish National Research Council; Madrid; Spain |
PMID:21949701 | Acknowledgement requested | OMICS_02227 | SCR_006385 | GeneTerm Linker - post enrichment functional association by non-redundant reciprocal linkage | 2026-09-19 12:56:57 | 2 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, data analysis service, production service resource, service resource | A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, microarray, enrichment, genomic, proteomic, function, transcription factor, genomic localization, protein-protein interaction, coiled-coil domain, granzyme-b clevage site, motif, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: TRANSPATH is related to: TRANSFAC is related to: Gene Ontology has parent organization: Saarland University; Saarbrucken; Germany |
PMID:17526521 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:genetrail, OMICS_02236 | https://bio.tools/genetrail | SCR_006250 | 2026-09-19 12:56:57 | 114 | ||||||
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Magic Resource Report Resource Website 500+ mentions |
Magic (RRID:SCR_006406) | MAGIC | data or information resource, database, service resource | Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress. | gene expression, microarray, development stage, annotation, line, perturbation, gene, contrast, pathway, locus tag, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Expression Omnibus is related to: ArrayExpress is related to: Plant Ontology is related to: Gene Ontology has parent organization: Ghent University; Ghent; Belgium |
PMID:24407224 | biotools:magic, OMICS_02206 | https://bio.tools/magic | SCR_006406 | MAGIC - MAize Gene expressIon Compendium, MAize Gene expressIon Compendium | 2026-09-19 12:56:57 | 709 | ||||||
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GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool Resource Report Resource Website 500+ mentions |
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool (RRID:SCR_006848) | GOrilla | analysis service resource, data analysis service, production service resource, service resource | A tool for identifying and visualizing enriched GO terms in ranked lists of genes. It can be run in one of two modes: * Searching for enriched GO terms that appear densely at the top of a ranked list of genes or * Searching for enriched GO terms in a target list of genes compared to a background list of genes. | gene, genetic, ontology, ontology or annotation visualization, statistical analysis, term enrichment, visualization, analysis, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology |
European Union FP6 ; Yeshaya Horowitz Association |
PMID:19192299 | Acknowledgement requested, Free, Public | nlx_80425, OMICS_02282 | SCR_006848 | Gene Ontology enRIchment anaLysis and visuaLizAtion tool, GOrilla: Gene Ontology Enrichment Analysis Visualization Tool | 2026-09-19 12:57:00 | 524 | |||||
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Gemma Resource Report Resource Website 1000+ mentions |
Gemma (RRID:SCR_008007) | Gemma | data or information resource, database | Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results. | chip, microarray, functional genomics, gene expression, coexpression, differential expression, FASEB list |
is used by: NIF Data Federation is used by: Integrated Data Annotation is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: Gene Expression Omnibus is related to: Phenocarta has parent organization: University of British Columbia; British Columbia; Canada is parent organization of: Neurocarta |
Canadian Foundation for Innovation ; Canadian Institutes for Health Research ; Michael Smith Foundation for Health Research ; NIGMS GM076990 |
PMID:22782548 | Free, Freely available | nif-0000-08127, r3d100012747 | https://sources.debian.org/src/gemma/, https://doi.org/10.17616/R36R54, https://doi.org/10.17616/R36R54 | SCR_008007 | 2026-09-19 12:57:14 | 1145 | |||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-19 12:51:32 | 7 | |||||
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Network Analysis, Visualization and Graphing TORonto Resource Report Resource Website 50+ mentions |
Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) | NAViGaTOR | d visualization software, data processing software, data visualization software, software application, software resource | A software package for visualizing and analyzing protein-protein interaction networks. NAViGaTOR can query OPHID / I2D - online databases of interaction data - and display networks in 2D or 3D. To improve scalability and performance, NAViGaTOR combines Java with OpenGL to provide a 2D/3D visualization system on multiple hardware platforms. NAViGaTOR also provides analytical capabilities and supports standard import and export formats such as GO and the Proteomics Standards Initiative (PSI). NAViGaTOR can be installed and run on Microsoft Windows, Linux / UNIX, and Mac OS systems. NAViGaTOR is written in Java and uses JOGL (Java bindings for OpenGL) to support scalability, highlighting or suppressing of information, and other advanced graphic approaches. | fly, algorithm, capacity, graphical, graphing, human, interaction, interactome, intersection, mouse, network, node, protein, proteomic, rat, worm, yeast, graphing application, 2d visualization, 3d visualization, visualization, biological network, protein-protein interaction, gene, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Genomics Institute ; Canada Research Chair Program ; Ontario Research Fund Research Excellence ; Canada Foundation for Innovation 12301; Canada Foundation for Innovation 203383 |
PMID:19837718 | Freely-downloadable for academic and not-for-profit institutions | nif-0000-25610, biotools:navigator | https://bio.tools/navigator | SCR_008373 | NAViGaTOR - Network Analysis Visualization and Graphing TORonto, NAViGaTOR - Network Analysis Visualization & Graphing TORonto | 2026-09-19 12:51:38 | 55 | ||||
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EGAN: Exploratory Gene Association Networks Resource Report Resource Website 1+ mentions |
EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) | EGAN | data analysis software, data processing software, software application, software resource | Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible | gene, gene association, network, protein-protein interaction, pathway, interaction, annotation, signaling pathway, enrichment, cytoscape, visualization |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: Cytoscape has parent organization: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core |
NCI P30 CA92103 | PMID:19933825 | Free for academic use | nlx_149222 | SCR_008856 | Exploratory Gene Association Networks, Exploratory Gene Association Networks (EGAN) | 2026-09-19 12:51:46 | 8 | |||||
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Tk-GO Resource Report Resource Website |
Tk-GO (RRID:SCR_008855) | TkGO | software resource | Tk-GO is a GUI wrapping the basic functions of the GO AppHandle library from BDGP. GO terms are presented in an explorer-like browser, and behavior can be configured by altering Perl scripts. All available documentation is included in the download. Tk-GO uses the GO database (connects directly to the BDGP database by default) but is user-configurable. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | browser, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Illumina |
MIT License - Free for academic use | nlx_149133 | SCR_008855 | 2026-09-19 12:51:46 | 0 | ||||||||
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Spotfire Resource Report Resource Website 100+ mentions |
Spotfire (RRID:SCR_008858) | Spotfire | software resource | The Spotfire Gene Ontology Advantage Application integrates GO annotations with gene expression analysis in Spotfire DecisionSite for Functional Genomics. Researchers can select a subset of genes in DecisionSite visualizations and display their distribution in the Gene Ontology hierarchy. Similarly, selection of any process, function or cellular location in the Gene Ontology hierarchy automatically marks the corresponding genes in DecisionSite visualizations. Platform: Windows compatible | analysis, predictive analytics, big data, visualization, gene ontology, annotation, gene expression, functional genomics, gene, function, cellular location, statistical analysis, genomics |
is listed by: Gene Ontology Tools is listed by: Metabolomics Workbench is related to: Gene Ontology |
Commercial license. Spotfire is available for purchase (individual license / enterprise use) / Free trial. | nlx_149169 | SCR_008858 | Tibco Spotfire, Spotfire Inc., Spotfire Gene Ontology Advantage Application, Spotfire - TIBCO Software | 2026-09-19 12:51:46 | 490 | |||||||
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categoryCompare Resource Report Resource Website 1+ mentions |
categoryCompare (RRID:SCR_001223) | categoryCompare | data analysis software, data processing software, software application, software resource | A software package for meta-analysis of high-throughput experiments using feature annotations. It calculates significant annotations (categories) in each of two (or more) feature (i.e. gene) lists, determines the overlap between the annotations, and returns graphical and tabular data about the significant annotations and which combinations of feature lists the annotations were found to be significant. Interactive exploration is facilitated through the use of RCytoscape (heavily suggested). | annotation, go, gene expression, multiple comparison, pathway, gene |
uses: Cytoscape is listed by: OMICtools is related to: Gene Ontology is related to: CRAN has parent organization: Bioconductor |
PMID:24808906 | Free, Available for download, Freely available | OMICS_02122 | SCR_001223 | categoryCompare - Meta-analysis of high-throughput experiments using feature annotations | 2026-09-19 12:49:36 | 9 | ||||||
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globaltest Resource Report Resource Website 10+ mentions |
globaltest (RRID:SCR_001256) | globaltest | data analysis software, data processing software, sequence analysis software, software application, software resource | A software package that tests groups of covariates (or features) for association with a response variable. The package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms. | differential expression, go, microarray, one channel, pathway, bio.tools |
uses: KEGG is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Bioconductor |
PMID:34046931 | Free, Available for download, Freely available | biotools:globaltest, OMICS_02084 | https://bio.tools/globaltest | SCR_001256 | 2026-09-19 12:49:37 | 31 | ||||||
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CELDA Ontology Resource Report Resource Website |
CELDA Ontology (RRID:SCR_001601) | CELDA | controlled vocabulary, data or information resource, ontology | Structured vocabulary to organize cell-associated data and to place these data in clearly defined semantic relations to other biological facts. It describes cell types, their properties and origin and links this information to other existing ontologies like the Cell Ontology (CL), Foundational Model of Anatomy (FMA), Gene Ontology (GO), Mouse Anatomy and others using the top-level ontology BioTop. | cell, expression, localization, development, anatomy, cell type, development, organ, kidney, liver, skin |
is related to: Cell Type Ontology is related to: FMA is related to: Gene Ontology has parent organization: CellFinder |
Seoul National University; Seoul; South Korea ; Research Institute for Veterinary Science ; DFG KU 851/3-1; DFG LE 1428/3-1; DFG JA 1904/2-1 |
PMID:23865855 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153858 | SCR_001601 | Cell: Expression Localization Development Anatomy, CellFinder Ontology, CELDA Ontology | 2026-09-19 12:49:43 | 0 | |||||
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MatrixDB Resource Report Resource Website 50+ mentions |
MatrixDB (RRID:SCR_001727) | MatrixDB | data or information resource, database, production service resource, service resource | Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions. | extracellular, protein fragment, biomolecule, cation, cleavage, collagen, glycosaminoglycan, human, interaction, laminin, lipid, mammalian, matricryptin, matrikin, matrix, molecule, monomer, mulimerization, multimer, polysaccharide, protein, protein-carbohydrate interaction, protein-protein interaction, recognition, thrombospondin, interactome, extracellular protein, protein-polysaccharide interaction, extracellular interaction, molecular interaction, model organism, inorganic, small molecule-protein, small molecule, extracellular matrix protein, protein-glycosaminoglycan interaction, bio.tools, FASEB list |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: Gene Ontology is related to: PSI-MI is related to: HPRD - Human Protein Reference Database 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: IntAct has parent organization: Claude Bernard University Lyon 1; Lyon; France |
European Union contract FP7-HEALTH-2007-223411 | PMID:20852260 PMID:19147664 |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:matrixdb, r3d100010672, nif-0000-10226 | https://bio.tools/matrixdb, https://doi.org/10.17616/R3M03H | http://matrixdb.ibcp.fr/ | SCR_001727 | MatrixDB: Extracellular Matrix Interactions Database, Extracellular Matrix Interactions Database | 2026-09-19 12:49:46 | 95 | |||
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Kidney and Urinary Pathway Knowledge Base Resource Report Resource Website 1+ mentions |
Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) | KUPKB | analysis service resource, data analysis service, data or information resource, data repository, data set, production service resource, service resource, storage service resource | A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made. | kidney, urinary, urine, pathway, molecule, visualizer, gene, protein, mirna, metabolite, mrna, microarray, ortholog, rdf, renal cell, anatomy, animal model, disease, sparql, proteomics, ontology, biomarker, gene expression, physiology, pathology |
is related to: NIDDK Information Network (dkNET) is related to: Gene Expression Omnibus is related to: Gene Ontology is related to: KEGG has parent organization: University of Manchester; Manchester; United Kingdom has parent organization: National Institute of Health and Medical Research; Rennes; France |
Kidney disease | European Union ; FP7 ; ICT-2007.4.4 e-LICO project |
PMID:21624162 | THIS RESOURCE IS NO LONGER IN SERVICE. | nlx_154134 | http://www.e-lico.eu/kupkb | SCR_001746 | Kidney & Urinary Pathway Knowledge Base | 2026-09-19 12:49:46 | 2 | |||
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Diabetes Disease Portal Resource Report Resource Website |
Diabetes Disease Portal (RRID:SCR_001660) | Diabetes 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 diabetes. The portal provides easy acces to data related to both Type 1 and Type 2 Diabetes and Diabetes-related Obesity and Hypertension, as well as information on Diabetic Complications. View the results for all the included diabetes-related disease states or choose a disease category to get a pull-down list of diseases. A single click on a disease will provide a list of related genes, QTLs, and strains as well as a genome wide view of these via the GViewer tool. A link from GViewer to GBrowse shows the genes and QTLs within their genomic context. Additional pages for Phenotypes, Pathways and Biological Processes provide one-click access to data related to diabetes. Tools, Related Links and Rat Strain Models pages link to additional resources of interest to diabetes researchers. | gene, quantitative trait locus, strain, diabetic complication, genome, gviewer, genomic, phenotype, pathway, biological process, chromosome, visualization, molecular function, cellular component, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Type 1 diabetes, Type 2 diabetes, Diabetes, Obesity, Hyperlipidemia, Metaboic disease, Hypertension | Free, Freely Available | nlx_153942 | http://rgd.mcw.edu/rgdCuration/?module=portal&func=show&name=diabetes | SCR_001660 | 2026-09-19 12:49:44 | 0 | ||||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | data access protocol, data or information resource, database, software resource, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis. | functional domain, annotation, motif, protein, ontology enrichment, gene, high-throughput, functional classification, functional annotation, clustering, genome, pathway, gene-disease association, interaction, functional domain, motif, visualization, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: LabWorm is listed by: SoftCite is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG has parent organization: NCI-Frederick |
NCI ; NIAID NO1-CO-56000 |
PMID:19131956 PMID:12734009 PMID:35325185 PMID:22543366 PMID:17980028 PMID:17576678 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30408, OMICS_02220, nif-0000-10451, SCR_003033 | http://david.abcc.ncifcrf.gov/ | SCR_001881 | DAVID Bioinformatics Resources, Visualization and Integrated Discovery Bioinformatics Resources, Database for Annotation Visualization and Integrated Discovery, The Database for Annotation, The Database for Annotation Visualization and Integrated Discovery Bioinformatics Resources | 2026-09-19 12:49:49 | 20855 |
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