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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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REViGO Resource Report Resource Website 1000+ mentions |
REViGO (RRID:SCR_005825) | REViGO | data analysis service, production service resource, service resource, analysis service resource | Web server that summarizes lists of Gene Ontology terms by removing redundant terms and visualizing the remaining ones in scatterplots, interactive graphs, treemaps, or tag clouds. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene ontology, visualization, statistical analysis, ontology or annotation visualization |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: Rudjer Boskovic Institute; Zagreb; Croatia |
PMID:21789182 PMID:20585573 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02283, nlx_149332 | SCR_005825 | Reduce + Visualize Gene Ontology, REViGO - Reduce Visualize Gene Ontology, REViGO - Reduce & Visualize Gene Ontology, REViGO - Reduce and Visualize Gene Ontology, REViGO - Reduce + Visualize Gene Ontology | 2026-02-14 02:06:25 | 2299 | ||||||
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Network Ontology Analysis Resource Report Resource Website 1+ mentions |
Network Ontology Analysis (RRID:SCR_005667) | NOA | data analysis service, production service resource, service resource, analysis service resource | Network Ontology Analysis (NOA) (abbreviated to NOA) is a freely available collection of Gene Ontology tools aiming to analyze functions of gene network instead of gene list. Network rewiring facilitates the function changes between conditions even with the same gene list. Therefore, it is necessary to annotate the specific function of networks by considering the fundamental roles of interactions from the viewpoint of systems biology. NOA is such a novel functional enrichment analysis method capable to handle both dynamic and static networks. The application of NOA in biological networks shows that NOA can not only capture changing functions in rewiring networks but also find more relevant and specific functions in traditional static networks. Platform: Online tool | gene, ontology, ontology or annotation browser, statistical analysis, term enrichment, browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Chinese Academy of Sciences; Beijing; China |
Chief Scientist Program of SIBS 2009CSP002; Knowledge Innovation Program of CAS KSCX2-EW-R-01; NSFC 61072149; NSFC 91029301; NSFC 60873205; NSFC 10801131; NSFC 60970091; Shanghai NSF 11ZR1443100 |
PMID:21543451 | Open unspecified license - Free for academic use | nlx_149105 | SCR_005667 | Network Ontology Analysis (NOA) | 2026-02-14 02:05:53 | 7 | |||||
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SNPsandGO Resource Report Resource Website 50+ mentions |
SNPsandGO (RRID:SCR_005788) | SNPs&GO | data analysis service, production service resource, service resource, analysis service resource | A server for the prediction of single point protein mutations likely to be involved in the insurgence of diseases in humans. | prediction, protein, mutation, disease, single nucleotide polymorphism, bio.tools |
is used by: HmtVar is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Bologna; Bologna; Italy |
PMID:19514061 | biotools:snps_go, OMICS_02219 | https://bio.tools/snps_go | SCR_005788 | SNPs and GO | 2026-02-14 02:06:25 | 58 | ||||||
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OBO-Edit Resource Report Resource Website 10+ mentions |
OBO-Edit (RRID:SCR_005668) | OBO-Edit | software resource, source code, software application | OBO-Edit is an open source, platform-independent application written in Java for viewing and editing any OBO format ontologies. OBO-Edit is a graph-based tool; its emphasis on the overall graph structure of an ontology provides a friendly interface for biologists, and makes OBO-Edit excellent for the rapid generation of large ontologies focusing on relationships between relatively simple classes. The UI components are cleanly separated from the data model and data adapters, so these can be reused in other applications. The oboedit foward-chaining reasoner can also be used independently (for example, for traversing ontology graphs). OBO-Edit uses the OBO format flat file. See the GO wiki, http://wiki.geneontology.org/index.php/OBO-Edit:_Getting_the_Source_Code, for instructions on downloading the source code. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | ontology, browser, search engine, visualization, editor, software library, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: OBO is related to: Ontology Lookup Service is related to: Phenote: A Phenotype Annotation Tool using Ontologies has parent organization: Gene Ontology |
PMID:17545183 | Open unspecified license - Free for academic use | nlx_149107 | http://org.geneontology.oboedit | SCR_005668 | OBO-Edit: The OBO Ontology Editor | 2026-02-14 02:06:24 | 21 | |||||
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Yeast Search for Transcriptional Regulators And Consensus Tracking Resource Report Resource Website 100+ mentions |
Yeast Search for Transcriptional Regulators And Consensus Tracking (RRID:SCR_006076) | YEASTRACT | data or information resource, database | A curated repository of more than 206000 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1300 bibliographic references. It also includes the description of 326 specific DNA binding sites shared among 113 characterized TFs. Further information about each Yeast gene has been extracted from the Saccharomyces Genome Database (SGD). For each gene the associated Gene Ontology (GO) terms and their hierarchy in GO was obtained from the GO consortium. Currently, YEASTRACT maintains a total of 7130 terms from GO. The nucleotide sequences of the promoter and coding regions for Yeast genes were obtained from Regulatory Sequence Analysis Tools (RSAT). All the information in YEASTRACT is updated regularly to match the latest data from SGD, GO consortium, RSA Tools and recent literature on yeast regulatory networks. YEASTRACT includes DISCOVERER, a set of tools that can be used to identify complex motifs found to be over-represented in the promoter regions of co-regulated genes. DISCOVERER is based on the MUSA algorithm. These algorithms take as input a list of genes and identify over-represented motifs, which can then be compared with transcription factor binding sites described in the YEASTRACT database. | yeast, gene, regulatory association, transcription factor, target gene, genomic, transcription regulation, transcription, web service, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SGD is related to: Gene Ontology is related to: Regulatory Sequence Analysis Tools |
Fundacao para a Ciencia e a Tecnologia contract Pest-OE/EQB/LA0023/2011_research line: Systems and Synthetic Biology; Fundacao para a Ciencia e a Tecnologia ERA-IB/0002/2010; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-EIA/111239/2009; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-CCO/118522/2010 |
PMID:24170807 PMID:20972212 PMID:18032429 PMID:16381908 |
Free | nif-0000-03652, OMICS_00547, biotools:yeastract | https://bio.tools/yeastract | SCR_006076 | 2026-02-14 02:06:32 | 120 | |||||
|
G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools Resource Report Resource Website 1+ mentions |
G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools (RRID:SCR_005816) | G-SESAME | data analysis service, production service resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2,2025. G-SESAME contains a set of tools. They include: tools for measuring the semantic similarity of GO terms; tools for measuring the functional similarity of genes; and tools for clustering genes based on their GO term annotation information. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene ontology, semantic similarity, functional similarity, cluster, gene, annotation, gene annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Clemson University; South Carolina; USA |
NSF DBI-0960586; NSF DBI-0960443 |
PMID:19491312 PMID:17344234 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149313 | SCR_005816 | Gene Semantic Similarity Analysis Measurement Tools, Gene Semantic Similarity Analysis and Measurement Tools | 2026-02-14 02:05:58 | 5 | |||||
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MalaCards Resource Report Resource Website 100+ mentions |
MalaCards (RRID:SCR_005817) | MalaCards | data or information resource, database | An integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. The database contains 17,705 diseases, consolidated from 28 sources. | malady, annotation, gene, disease, cellular component, biological process, molecular function, expression profile, pathway, drug, compound, publication, phenotype, ortholog, gene ontology, FASEB list |
is related to: Gene Ontology is related to: Mouse Genome Informatics (MGI) is related to: DrugBank is related to: KEGG is related to: OMIM is related to: PharmGKB is related to: National Institute of Neurological Disorders and Stroke is related to: Office of Rare Diseases Research is related to: Bookshelf is related to: MedlinePlus is related to: Centers for Disease Control and Prevention |
nlx_149314, r3d100012018 | https://doi.org/10.17616/R30W7D | SCR_005817 | MalaCards - The Human Malady Compendium | 2026-02-14 02:06:31 | 316 | |||||||
|
TXTGate Resource Report Resource Website |
TXTGate (RRID:SCR_005812) | TXTGate | data analysis service, production service resource, service resource, analysis service resource | TXTGate is a literature index database and is part of an experimental platform to evaluate (combinations of) information extraction and indexing from a variety of biological annotation databases. It is designed towards the summarization and analysis of groups of genes based on text. By means of tailored vocabularies, selected textual fields and MedLine abstracts of LocusLink and SGD are indexed. Subclustering and links to external resources allow for an in-depth analysis of the resulting term profiles. You need to be registered in order to use the TXTGate application. Platform: Online tool | gene, annotation, database, text mining |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: SGD has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
European Union ; Instituut voor de aanmoediging van Innovatie door Wetenschap en Technologie Vlaanderen ; Research Council K.U. Leuven GOA-Mefisto-666; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0115.01; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0240.99; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0407.02; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0413.03; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0388.03; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0229.03; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen G.0241.04; Belgian Federal Science Policy Office IUAP V-22 |
PMID:15186494 | Free for academic use | nlx_149305 | SCR_005812 | 2026-02-14 02:06:30 | 0 | ||||||
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IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures Resource Report Resource Website 1+ mentions |
IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures (RRID:SCR_005815) | IT-GOM | data analysis service, production service resource, service resource, analysis service resource | The Integrated Tool for IC-based GO Semantic Similarity Measures (IT-GOM) integrates the currently known GO semantic similarity measures into a single tool. It provides the information content (IC) of GO terms, semantic similarity between GO terms and GO-based protein functional similarity scores. The specificity of GO terms and the similarity of biological content between GO terms or proteins are transformed into numeric values for protein analyses at the functional level. The integration of the different measures enables users to choose the measure best suited to their application and to compare results between different semantic similarity measures. Platform: Online tool | semantic similarity, gene ontology, protein, functional similarity, function, annotation, topology |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: UniProt is related to: GOA has parent organization: University of Cape Town; Western Cape; South Africa |
National Bioinformatics Network in South Africa ; University of Cape Town; Western Cape; South Africa ; Computational Biology research group at the Institute of Infectious Disease and Molecular Medicine |
Open unspecified license - Free for academic use | nlx_149310 | SCR_005815 | Integrated Tool for IC-based GO Semantic Similarity Measures (IT-GOM), Integrated Tool for IC-based GO Semantic Similarity Measures | 2026-02-14 02:06:25 | 1 | ||||||
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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 | 2026-02-14 02:06:25 | 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 | data analysis service, production service resource, service resource, analysis 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) | 2026-02-14 02:05:53 | 0 | ||||||
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GraphWeb Resource Report Resource Website 10+ mentions |
GraphWeb (RRID:SCR_005746) | GraphWeb | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:05:57 | 12 | ||||||
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ProteInOn Resource Report Resource Website 1+ mentions |
ProteInOn (RRID:SCR_005740) | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:06:24 | 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 | 2026-02-14 02:05:53 | 6 | |||||
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CateGOrizer Resource Report Resource Website 50+ mentions |
CateGOrizer (RRID:SCR_005737) | CateGOrizer | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:06:30 | 81 | |||||||
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GO Online SQL Environment (GOOSE) Resource Report Resource Website 10+ mentions |
GO Online SQL Environment (GOOSE) (RRID:SCR_006174) | GOOSE | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:05:59 | 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 | 2026-02-14 02:05:57 | 1266 | |||||
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ProbeExplorer Resource Report Resource Website |
ProbeExplorer (RRID:SCR_007116) | ProbeExplorer | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:06:28 | 0 | |||||||
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CRCView Resource Report Resource Website |
CRCView (RRID:SCR_007092) | CRCView | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:05:58 | 0 | |||
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FunSpec Resource Report Resource Website 50+ mentions |
FunSpec (RRID:SCR_006952) | FunSpec | data analysis service, production service resource, service resource, analysis 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 | 2026-02-14 02:06:27 | 87 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
