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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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CharProtDB: Characterized Protein Database Resource Report Resource Website |
CharProtDB: Characterized Protein Database (RRID:SCR_005872) | CharProtDB | data or information resource, database | The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated. | protein, annotation, functional annotation, taxonomic classification, literature, gene ontology, evidence code, enzyme commission, transport classification, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute |
NHGRI R01 HG004881; NIAID contract HHSN266200100038C |
PMID:22140108 | biotools:charprotdb, nlx_149421 | https://bio.tools/charprotdb | SCR_005872 | Characterized Protein Database | 2026-09-12 01:01:40 | 0 | |||||
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CLASSIFI - Cluster Assignment for Biological Inference Resource Report Resource Website |
CLASSIFI - Cluster Assignment for Biological Inference (RRID:SCR_005752) | CLASSIFI | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 10, 2012. Cluster Assignment for Biological Inference (CLASSIFI) is a data-mining tool that can be used to identify significant co-clustering of genes with similar functional properties (e.g. cellular response to DNA damage). Briefly, CLASSIFI uses the Gene Ontology gene annotation scheme to define the functional properties of all genes/probes in a microarray data set, and then applies a cumulative hypergeometric distribution analysis to determine if any statistically significant gene ontology co-clustering has occurred. Platform: Online tool | statistical analysis, gene, gene expression, data mining, biological process, function, gene ontology, annotation, microarray |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: UT Southwestern Medical Center Department of Pathology |
PMID:16670020 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149214 | SCR_005752 | Cluster Assignment for Biological Inference, Cluster Assignment for Biological Inference (CLASSIFI) | 2026-09-12 01:01:39 | 0 | ||||||
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GraphWeb Resource Report Resource Website 10+ mentions |
GraphWeb (RRID:SCR_005746) | GraphWeb | analysis service resource, data analysis service, production service resource, service resource | GraphWeb allows the detection of modules from biological, heterogeneous and multi-species networks, and the interpretation of detected modules using Gene Ontology, cis-regulatory motifs and biological pathways. GraphWeb is a public web server for graph-based analysis of biological networks that: * analyses directed and undirected, weighted and unweighted heterogeneous networks of genes, proteins and microarray probesets for many eukaryotic genomes; * integrates multiple diverse datasets into global networks; * incorporates multispecies data using gene orthology mapping; * filters nodes and edges based on dataset support, edge weight and node annotation; * detects gene modules from networks using a collection of algorithms; * interprets discovered modules using Gene Ontology, pathways, and cis-regulatory motifs. Platform: Online tool | analysis, biological network, ontology or annotation visualization, protein interaction, gene id conversion, orthology mapping, network visualization, graph clustering, gene ontology, cis-regulatory motif, module, network, pathway, biological pathway, motif, visualization, protein interaction, orthology mapping, network visualization, graph clustering, analysis, statistical analysis, term enrichment |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: BIIT - Bioinformatics Algorithmics and Data Mining Group |
European Union FP6 ENFIN LSHG-CT-2005-518254; European Union FP6 COBRED LSHB-CT-2007-037730; Estonian Science Foundation ETF7437 |
PMID:18460544 | Open unspecified license - Free for academic use | nlx_149205 | SCR_005746 | 2026-09-12 01:01:39 | 12 | ||||||
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ProteInOn Resource Report Resource Website 1+ mentions |
ProteInOn (RRID:SCR_005740) | analysis service resource, data analysis service, production service resource, service resource | ProteInOn calculates semantic similarity between GO terms or proteins annotated with GO terms. It also calculates term enrichment of protein sets, by applying a term representativity score, and gives additional information on protein interactions. The query compute protein semantic similarity returns the semantic similarity scores between all proteins entered, in matrix format. The option Measure allows users to choose one of several semantic similarity measures: Resnik, Lin, or Jiang & Conrath's measures with or without the DCA approach, plus the graph-based simUI and simGIC measures. These measures are listed by order of performance as evaluated with protein sequence similarity. The option GO type allows users to choose one of the aspects of GO: molecular function, biological process and cellular component. The option Ignore IEA limits the query to non-electronic annotations, excluding evidence types: IEA, NAS, ND, NR. | protein, ontology, gene ontology, annotation, statistical analysis, term enrichment, protein interaction, semantic similarity, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products has parent organization: University of Lisbon; Lisbon; Portugal |
Free for academic use | nlx_149206 | SCR_005740 | Protein Interactions Ontology, ProteInOn - Protein Interactions and Ontology, Protein Interactions and Ontology | 2026-09-12 01:01:39 | 2 | ||||||||
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VirHostNet: Virus-Host Network Resource Report Resource Website 1+ mentions |
VirHostNet: Virus-Host Network (RRID:SCR_005978) | VirHostNet | data or information resource, database | Public knowledge base specialized in the management and analysis of integrated virus-virus, virus-host and host-host interaction networks coupled to their functional annotations. It contains high quality and up-to-date information gathered and curated from public databases (VirusMint, Intact, HIV-1 database). It allows users to search by host gene, host/viral protein, gene ontology function, KEGG pathway, Interpro domain, and publication information. It also allows users to browse viral taxonomy. | interaction, protein, virus, protein-protein interaction, protein interaction, infectious disease, antiviral drug design, proteome, interactome, molecular function, cellular pathway, protein domain, virus-virus, virus-host, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: VirusMINT is related to: IntAct is related to: HIV-1 Human Protein Interaction Database is related to: PSICQUIC Registry has parent organization: Claude Bernard University Lyon 1; Lyon; France |
PMID:18984613 | Acknowledgement requested, Public | nif-0000-03634, OMICS_01910, biotools:virhostnet | https://bio.tools/virhostnet | SCR_005978 | Virus-Host Network | 2026-09-12 01:01:40 | 7 | |||||
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CateGOrizer Resource Report Resource Website 50+ mentions |
CateGOrizer (RRID:SCR_005737) | CateGOrizer | analysis service resource, data analysis service, production service resource, service resource | CateGOrizer takes batch input of GO term IDs in a list format or unformatted plain text file, allows users to choose one of the available classifications such as GO_slim, GOA, EGAD, MGI_GO_slim, GO-ROOT, or a self-defined classification list, find its parental branch and performs an accumulative classification count, and returns the results in a sorted table of counts, percentages, and a pie chart (if it takes longer than standard time out period, it will email the user with a URL link to the results). This tool is comprised with a set of perl CGI programs coupled with a MySQL DBMS that stores the GO terms DAG data. Platform: Online tool | gene ontology, statistical analysis, slimmer-type tool, go term classification, classification, analysis, go slim |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: NAGRP Bioinformatics Coordination Program |
Free for academic use | nlx_149197 | SCR_005737 | GO Terms Classifications Counter | 2026-09-12 01:01:39 | 85 | |||||||
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GO Online SQL Environment (GOOSE) Resource Report Resource Website 10+ mentions |
GO Online SQL Environment (GOOSE) (RRID:SCR_006174) | GOOSE | analysis service resource, data analysis service, production service resource, service resource | A web utility providing a direct interface to perform SQL queries directly on the GO database, allowing users to run custom queries without having to install a copy of the GO database locally. GOOSE includes many sample queries to aid novice users and allows results to be retrieved as a web page or as tab-delimited text. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | database, gene ontology, sql, database or data warehouse |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Berkeley Bioinformatics Open-Source Projects |
PMID:19033274 | Open unspecified license - Free for academic use | nlx_151682 | SCR_006174 | GO Online SQL Environment | 2026-09-12 01:01:41 | 10 | ||||||
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HPRD - Human Protein Reference Database Resource Report Resource Website 1000+ mentions |
HPRD - Human Protein Reference Database (RRID:SCR_007027) | HPRD | data or information resource, database | Database that represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome. All the information in HPRD has been manually extracted from the literature by expert biologists who read, interpret and analyze the published data. | protein, disease, network, post-translational, proteome, protein binding, protein s, protein c, pathway, protein-protein interaction, protein expression, subcellular localization, phosphorylation motif, signaling pathway, protein sequence, blast, molecule, domain, motif, post-translational modification, protein isoform, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: GEMINI is listed by: re3data.org is related to: Human Proteinpedia is related to: MatrixDB is related to: Interaction Reference Index is related to: Pathway Commons is related to: ConsensusPathDB is related to: Gene Ontology is related to: Agile Protein Interactomes DataServer has parent organization: Johns Hopkins University; Maryland; USA has parent organization: Institute of Bioinformatics; Bangalore; India |
PMID:18988627 PMID:16381900 PMID:14525934 |
Acknowledgement requested, Free, Non-commercial, Commercial requires license | nif-0000-00137, r3d100010978 | https://doi.org/10.17616/R3MK9N | SCR_007027 | Human Protein Reference Database | 2026-09-12 01:01:45 | 1311 | |||||
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ProbeExplorer Resource Report Resource Website |
ProbeExplorer (RRID:SCR_007116) | ProbeExplorer | analysis service resource, data analysis service, production service resource, service resource | Probe Explorer is an open access web-based bioinformatics application designed to show the association between microarray oligonucleotide probes and transcripts in the genomic context, but flexible enough to serve as a simplified genome and transcriptome browser. Coordinates and sequences of the genomic entities (loci, exons, transcripts), including vector graphics outputs, are provided for fifteen metazoa organisms and two yeasts. Alignment tools are used to built the associations between Affymetrix microarrays probe sequences and the transcriptomes (for human, mouse, rat and yeasts). Search by keywords is available and user searches and alignments on the genomes can also be done using any DNA or protein sequence query. Platform: Online tool | bioinformatics, microarray, oligonucleotide probe, transcript, genomic, genome, transcriptome, alignment, affymetrix, probe sequence, dna, protein, sequence, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Salamanca; Salamanca; Spain |
Open unspecified license - Free for academic use | nlx_149275 | SCR_007116 | Probe Explorer | 2026-09-12 01:01:45 | 0 | |||||||
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CRCView Resource Report Resource Website |
CRCView (RRID:SCR_007092) | CRCView | analysis service resource, data analysis service, production service resource, service resource | Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in. | microarray, gene expression, cluster, gene, expression profile, data repository, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Bioconductor is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan; Michigan; USA ; Institutional Fund ; NIH U013422; NIAID 1R21AI057875-01 |
PMID:17485426 | Registration required | biotools:crcview, nlx_99864 | https://bio.tools/crcview | http://helab.bioinformatics.med.umich.edu/crcview/ | SCR_007092 | Chinese Restaurant ClusterView | 2026-09-12 01:01:45 | 0 | |||
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FunSpec Resource Report Resource Website 50+ mentions |
FunSpec (RRID:SCR_006952) | FunSpec | analysis service resource, data analysis service, production service resource, service resource | FunSpec is a web-based tool for statistical evaluation of groups of genes and proteins (e.g. co-regulated genes, protein complexes, genetic interactors) with respect to existing annotations, including GO terms. FunSpec (an acronym for Functional Specification) inputs a list of yeast gene names, and outputs a summary of functional classes, cellular localizations, protein complexes, etc. that are enriched in the list. The classes and categories evaluated were downloaded from the MIPS Database and the GO Database . In addition, many published datasets have been compiled to evaluate enrichment against. Hypertext links to the publications are given. The p-values, calculated using the hypergeometric distribution, represent the probability that the intersection of given list with any given functional category occurs by chance. The Bonferroni-correction divides the p-value threshold, that would be deemed significant for an individual test, by the number of tests conducted and thus accounts for spurious significance due to multiple testing over the categories of a database. After the Bonferroni correction, only those categories are displayed for which the chance probability of enrichment is lower than: p-value/#CD where #CD is the number of categories in the selected database. Without the Bonferroni Correction, all categories are displayed for which the same probability of enrichment is lower than: p-value threshold in an individual test Note that many genes are contained in many categories, especially in the MIPS database (which are hierarchical) and that this can create biases for which FunSpec currently makes no compensation. Also the databases are treated as independent from one another, which is really not the case, and each is searched seperately, which may not be optimal for statistical calculations. Nonetheless, we find it useful for sifting through the results of clustering analysis, TAP pulldowns, etc. Platform: Online tool | gene, protein, annotation, gene ontology, gene expression, clustering, prediction, statistical analysis, functional class, cellular localization, protein complex, yeast, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: CYGD - Comprehensive Yeast Genome Database has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; CIHR ; University of Toronto Connaught Foundation |
PMID:12431279 | nlx_149246 | SCR_006952 | Functional Specification | 2026-09-12 01:01:44 | 91 | ||||||
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ECgene: Gene Modeling with Alternative Splicing Resource Report Resource Website 10+ mentions |
ECgene: Gene Modeling with Alternative Splicing (RRID:SCR_007634) | ECgene | data or information resource, database | Database of functional annotation for alternatively spliced genes. It uses a gene-modeling algorithm that combines the genome-based expressed sequence tag (EST) clustering and graph-theoretic transcript assembly procedures. It contains genome, mRNA, and EST sequence data, as well as a genome browser application. Organisms included in the database are human, dog, chicken, fruit fly, mouse, rhesus, rat, worm, and zebrafish. Annotation is provided for the whole transcriptome, not just the alternatively spliced genes. Several viewers and applications are provided that are useful for the analysis of the transcript structure and gene expression. The summary viewer shows the gene summary and the essence of other annotation programs. The genome browser and the transcript viewer are available for comparing the gene structure of splice variants. Changes in the functional domains by alternative splicing can be seen at a glance in the transcript viewer. Two unique ways of analyzing gene expression is also provided. The SAGE tags deduced from the assembled transcripts are used to delineate quantitative expression patterns from SAGE libraries available publicly. The cDNA libraries of EST sequences in each cluster are used to infer qualitative expression patterns. | est cluster, genome, alternative splicing, splice, gene, mrna, est, annotation, gene modeling, structure, function, gene expression, transcript, genome browser, differential expression, snp |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Ewha Womans University; Seoul; South Korea |
PMID:17132829 PMID:15805497 PMID:15608289 |
nif-0000-02780, OMICS_01884 | http://genome.ewha.ac.kr/ECgene/ | SCR_007634 | ECgene - Genome Annotation for Alternative Splicing | 2026-09-12 01:01:49 | 12 | ||||||
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Cardiovascular Gene Ontology Annotation Initiative Resource Report Resource Website 1+ mentions |
Cardiovascular Gene Ontology Annotation Initiative (RRID:SCR_004795) | CV-GO, BHF-UCL | data or information resource, data set | Full Gene Ontology annotation to genes associated with cardiovascular processes. Every GO annotation made, is attributed to an identified source, such as a publication identifier (PMID), and an indication of the type of evidence which supports the association between the gene product and the GO term. Over 4,000 cardiovascular associated genes have been identified. A variety of tools have been provided to enable cardiovascular scientists to review the annotation of their ''''favorite'''' gene and suggest information that may be missing, inaccurate or incomplete in these annotations. Annotation suggestions can be sent through the feedback form or by email. The Gene Ontology (GO) vocabulary is the established standard for the functional annotation of gene products. By using GO to curate scientific literature and by integrating results from high-quality high-throughput experiments they will create an information-rich resource for the cardiovascular-research community, enabling researchers to rapidly evaluate and interpret existing data and generate hypotheses to guide future research. | cardiovascular process, heart disease, cardiovascular, heart, cardiovascular system, annotation, gene, functional annotation, gene product, gold standard |
is related to: Gene Ontology is related to: IntAct has parent organization: University College London; London; United Kingdom |
British Heart Foundation SP/07/007/23671 | PMID:21419760 PMID:19046747 |
The community can contribute to this resource | nlx_79058 | http://www.ebi.ac.uk/GOA/CVI/ | SCR_004795 | Cardiovascular Gene Ontology, Cardiovascular GO Annotation Initiative | 2026-09-12 01:03:15 | 2 | ||||
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RefGenome Resource Report Resource Website 1+ mentions |
RefGenome (RRID:SCR_004263) | RefGenome | data or information resource, data set | The GO Consortium coordinates an effort to maximize and optimize the GO annotation of a large and representative set of key genomes, known as ''reference genomes''. The goal of the Reference Genome Annotation project is to completely annotate twelve reference genomes so that those annotations may be used to effectively seed the automatic annotation efforts of other genomes. With more and more genomes being sequenced, we are in the middle of an explosion of genomic information. The limited resources to manually annotate the growing number of sequenced genomes imply that automatic annotation will be the method of choice for many groups. The Reference Genome project has two primary goals: to increase the depth and breadth of annotations for genes in each of the organisms in the project, and to create data sets and tools that enable other genome annotation efforts to infer GO annotations for homologous genes in their organisms. In addition, the project has several important incidental benefits, such as increasing annotation consistency across genome databases, and providing important improvements to the GO''s logical structure and biological content. All GO annotations from this project are included in the gene association files that each group submits to GO. Annotations can also be viewed using the GO search engine and browser AmiGO. Annotated families can be viewed with the homolog set browser. | has parent organization: Gene Ontology | PMID:19578431 | nlx_27840 | SCR_004263 | Reference Genome Annotation Project, Reference Genome Project | 2026-09-12 01:03:14 | 7 | ||||||||
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ONTO-PERL Resource Report Resource Website |
ONTO-PERL (RRID:SCR_005731) | ONTO-PERL | software resource, source code | ONTO-PERL is a collection of Perl modules to handle OBO-formatted ontologies (like the Gene Ontology). This code distribution gathers object-oriented modules (for dealing with ontology elements such as Term, Relationship and so forth), scripts (for typical tasks such as format conversions: obo2owl, owl2obo; besides, there are also many examples that can be easily adapted for specific applications), and a set of test files to ensure the suite''''s implementation quality. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | application programming interface, software library, ontology, analysis, development, biomedical |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: OBO has parent organization: Comprehensive Perl Archive Network has parent organization: Norwegian University of Science and Technology; Trondheim; Norway |
European Union FP6 LSHG-CT-2004-512143; European Union FP6 MEST-CT-2004-414632 |
PMID:18245124 | Free for academic use | nlx_149191 | SCR_005731 | 2026-09-12 01:03:15 | 0 | ||||||
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barleyGO Resource Report Resource Website 1+ mentions |
barleyGO (RRID:SCR_015709) | software resource, source code | Perl software script that can annotate barley sequences with Gene Ontology terms inferred by homology. It uses the IBSC2012 barley GO annotation and supports both nucleotide and peptide sequences. | annotation, barley, barley sequence, gene ontology, go, go annotation, nucleotide, peptide, perl | uses: Gene Ontology | Free, Available for download | http:// www.eead.csic.es/compbio/soft/barleyGO.tgz | SCR_015709 | 2026-09-12 01:03:58 | 1 |
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