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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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InterProScan Resource Report Resource Website 5000+ mentions |
InterProScan (RRID:SCR_005829) | analysis service resource, data access protocol, data analysis service, data analysis software, data processing software, production service resource, service resource, software application, software resource, web service | Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service. | functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenome, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: RARTF is related to: InterPro is related to: LegumeIP is related to: UniProtKB has parent organization: European Bioinformatics Institute |
Biotechnology and Biological Sciences Research Council ; EMBL ; European Union |
PMID:15980438 PMID:17202162 PMID:24451626 |
Free, Available for download, Freely available | OMICS_01479, biotools:interproscan_4, nlx_149337 | https://www.ebi.ac.uk/interpro/download.html, https://bio.tools/interproscan_4 | SCR_005829 | InterProScan Sequence Search, InterProScan 2, InterProScan 3, InterProScan 4, InterProScan 5 | 2026-09-12 12:56:32 | 7512 | |||||
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Whatizit Resource Report Resource Website 1+ mentions |
Whatizit (RRID:SCR_005824) | Whatizit | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | A text processing system that allows you to do textmining tasks on text. It is great at identifying molecular biology terms and linking them to publicly available databases. Whatizit is also a Medline abstracts retrieval/search engine. Instead of providing the text by Copy&Paste, you can launch a Medline search. The abstracts that match your search criteria are retrieved and processed by a pipeline of your choice. Whatizit is also available as 1) a webservice and as 2) a streamed servlet. The webservice allows you to enrich content within your website in a similar way as in the wikipedia. The streamed servlet allows you to process large amounts of text. | textual analysis, protein, gene, gene ontology, text-mining, annotation, literature analysis |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: UniProt is related to: MEDLINE is related to: NCBI Taxonomy has parent organization: European Bioinformatics Institute |
Free for academic use | OMICS_01200, nlx_149329 | http://www.ebi.ac.uk/webservices/whatizit | SCR_005824 | 2026-09-12 12:56:31 | 8 | |||||||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-09-12 12:56:31 | 32 | ||||
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OWLTools Resource Report Resource Website 10+ mentions |
OWLTools (RRID:SCR_005732) | OWLTools | software resource | OWLTools (aka OWL2LS - OWL2 Life Sciences) is a java API for accessing ontologies in either OBO or OWL. OWLTools provides a bio-ontologies friendly wrapper on top of the Manchester OWL API. It provides many features, including: * convenience methods for OBO-like properties such as synonyms, textual definitions, obsoletion, replaced_by * simple graph-like operations over ontologies * visualization using the QuickGO graphs libraries Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, ontology |
is listed by: Gene Ontology Tools is related to: OBO has parent organization: Gene Ontology has parent organization: Google Project Hosting is parent organization of: OwlSim |
Open unspecified license - Free for academic use | nlx_149192 | SCR_005732 | OWL2LS - OWL2 Life Sciences, OWL Tools | 2026-09-12 12:56:30 | 18 | |||||||
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Blip: Biomedical Logic Programming Resource Report Resource Website 1+ mentions |
Blip: Biomedical Logic Programming (RRID:SCR_005733) | Blip, blipkit | software resource | Biomedical Logical Programming (Blip) is a research-oriented deductive database and prolog application library for handling biological and biomedical data. It includes packages for advanced querying of ontologies and annotations. Blip underpins the Obol tool. Here are some distinguishing characteristics of Blip * Lightweight. Bloat-free: Blip only has as many modules as it needs to do its job. * Fast. * Declarative. Say what you want to do, not how you want to do it * Blip can be Query-oriented: specify your data sources and ask your query * Blip can be Application-oriented: it is designed to be used as an application library used by other bioinformatics tools * Mature and fully functional ontology module for handling both OBO-style ontologies and OWL ontologies. * Modules for handling biological sequences and sequence features. (currently limited functionality, added as needed) * A systems biology module for querying pathway and interaction data. (currently limited functionality, added as needed) * Relational database integration. SQL can be viewed as a highly restricted dialect of Prolog. Although the SWI-Prolog in-memory database is fast and scalable, sometimes it is nice to be able to fetch data from an external database. Blip contains a generic SQL utility module and predicate mappings for the GO database, Ensembl and Chado * Integration with a variety of bioinformatics file formats. SWI-Prolog has a variety of fast libraries for dealing with XML, RDF and tabular data files. Blip provides bridges from bio file formats encoded using these syntaxes into its native models. For other syntaxes, Blip seamlessly integrates other packages such as BioPerl and go-perl. Although these dependencies require extra installation, there is no point reinventing the wheel * Rapid development of web applications. Blip extends SWI-Prolog''''s excellent http support with a simple and powerful logical-functional-programming style application server, serval. This has been used to prototype a fully-featured next-generation replacement for the GO project amigo browser. * Scalable. Blip is not intended to be a toy system on toy data (although it is happy to be used as a toy if you like!). It is intended to be used as an application component and a tool operating on real-world biological and biomedical data Blip is written in SWI-Prolog, a fast, robust and scalable implementation of ISO Prolog. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | biology, biomedical, ontology, annotation, software library, bioinformatics, module |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Berkeley Bioinformatics Open-Source Projects |
GNU Lesser General Public License | nlx_149193 | SCR_005733 | Blip - Biomedical Logic Programming, Biomedical Logical Programming (Blip), Biomedical Logic Programming | 2026-09-12 12:56:30 | 2 | |||||||
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ClueGO Resource Report Resource Website 1000+ mentions |
ClueGO (RRID:SCR_005748) | ClueGO | software resource | A Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network. It can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easily extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be combined to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | statistical analysis, function, gene ontology, pathway, annotation, network, plugin, gene |
is listed by: Gene Ontology Tools is listed by: SoftCite is related to: Gene Ontology is related to: Cytoscape is related to: KEGG is related to: BioCarta Pathways has parent organization: National Institute of Health and Medical Research; Rennes; France |
National Institute of Health and Medical Research; Rennes; France ; Ville de Paris ; INCa ; Austrian Ministry for Science and Research ; BINII ; European Union 7FP 202230 |
PMID:19237447 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149209 | SCR_005748 | 2026-09-12 12:56:31 | 2951 | ||||||
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CLENCH Resource Report Resource Website 1+ mentions |
CLENCH (RRID:SCR_005735) | CLENCH | data processing software, software application, software resource, source code | Cluster Enrichment (CLENCH) allows A. thaliana researchers to perform automated retrieval of GO annotations from TAIR and calculate enrichment of GO terms in gene group with respect to a reference set. Before calculating enrichment, CLENCH allows mapping of the returned annotations to arbitrary coarse levels using GO slim term lists (which can be edited by the user) and a local installation of GO. Platform: Windows compatible, Linux compatible, | gene, microarray, function, functional categorization, statistical analysis, slimmer-type tool, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: TAIR has parent organization: Stanford Center for Biomedical Informatics Research |
PMID:14764555 | Free for academic use | nlx_149216 | http://www.personal.psu.edu/nhs109/Clench | SCR_005735 | CLENCH - Cluster Enrichment, CLENCH: A program for calculating cluster enrichment using the Gene Ontology, Cluster Enrichment, Cluster Enrichment (CLENCH) | 2026-09-12 12:56:30 | 4 | |||||
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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 | 2026-09-12 12:57:21 | 62 | ||||||
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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 | 2026-09-12 12:56:38 | 5008 | ||||||
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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 | 2026-09-12 12:56:40 | 8 | ||||||||
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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 | 2026-09-12 12:56:40 | 9 | |||||
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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 | 2026-09-12 12:56:40 | 14 | |||||||
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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) | 2026-09-12 12:56:42 | 24 | |||
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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 | 2026-09-12 12:56:42 | 1 | ||||
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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 | 2026-09-12 12:56:44 | 571 | |||
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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 | 2026-09-12 12:57:10 | 108 | ||||
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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) | 2026-09-12 12:57:10 | 14 | ||||
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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 | 2026-09-12 12:57:10 | 23 | |||||
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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 | 2026-09-12 12:57:10 | 3 | |||||
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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 | 2026-09-12 12:57:09 | 0 |
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