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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PhenoM - Phenomics of yeast Mutants Resource Report Resource Website |
PhenoM - Phenomics of yeast Mutants (RRID:SCR_006970) | PhenoM | analysis service resource, data analysis service, data or information resource, database, image collection, production service resource, service resource | Database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae, it allows storing, retrieving, visualizing and data mining the quantitative single-cell measurements extracted from micrographs of the temperature-sensitive (ts) mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations. About one-fifth of the genes in the budding yeast are essential for haploid viability and cannot be functionally assessed using standard genetic approaches such as gene deletion. To facilitate genetic analysis of essential genes, we and others have assembled collections of yeast strains expressing temperature-sensitive (ts) alleles of essential genes. To explore the phenotypes caused by essential gene mutation we used a panel of genetically engineered fluorescent markers to explore the morphology of cells in the ts strain collection using high-throughput microscopy. The database contains quantitative measurements of 1,909,914 cells and 78,194 morphological images for 775 temperature-sensitive mutants spanning 491 different essential genes in permissive temperature (26* C) and restrictive temperature (32* C). The morphological images were generated by high-content screening (HCS) technology. | phenomics, phenotype, yeast, mutant, cell, morphology, essential gene, gene, high-content screening, microscopy, micrograph, mutant cell, temperature-sensitive allele, allele, genetic analysis, blast, mutation, orf, actin, dna damage, nucleus, mitochondria, plasma membrane, mitotic spindle, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Research Fund ; Fudan University - University of Toronto Exchange Scholarship ; Canadian Institutes of Health Research GMX-201237; Canadian Institutes of Health Research GMX-211012; Canadian Foundation for Innovation LEF-21475 |
PMID:22009677 | Free | nlx_151489, biotools:phenom, r3d100012722 | https://bio.tools/phenom, https://doi.org/10.17616/R3GJ5J | SCR_006970 | Phenomics of yeast Mutants, Phenomics of yeast Mutants (PhenoM) | 2026-09-12 12:56:48 | 0 | ||||
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FunNet - Transcriptional Networks Analysis Resource Report Resource Website 10+ mentions |
FunNet - Transcriptional Networks Analysis (RRID:SCR_006968) | FunNet | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | Functional Analysis of Transcriptional Networks (FunNet) is designed as an integrative tool for analyzing gene co-expression networks built from microarray expression data. The analytical model implemented in this tool involves two abstraction layers: transcriptional (i.e. gene expression profiles) and functional (i.e. biological themes indicating the roles of the analyzed transcripts). A functional analysis technique, which relies on Gene Ontology and KEGG annotations, is applied to extract a list of relevant biological themes from microarray gene expression data. Afterwards multiple-instance representations are built to relate relevant biological themes to their annotated transcripts. An original non-linear dynamical model is used to quantify the contextual proximity of relevant genomic themes based on their patterns of propagation in the gene co-expression network (i.e. capturing the similarity of the expression profiles of the transcriptional instances of annotating themes). In the end an unsupervised multiple-instance spectral clustering procedure is used to explore the modular architecture of the co-expression network by grouping together biological themes demonstrating a significant relationship in the co-expression network. Functional and transcriptional representations of the co-expression network are provided, together with detailed information on the contextual centrality of related transcripts and genomic themes. FunNet is provided both as a web-based tool and as a standalone R package. The standalone R implementation can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix) and can be downloaded from the FunNet website, or from the worldwide mirrors of CRAN. Both implementations of the FunNet tool are provided freely under the GNU General Public License 2.0. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genome, transcriptional interaction, microarray, gene expression, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: KEGG has parent organization: Cordelier Research Center |
PMID:18208606 | Free for academic use, GNU General Public License, v2 | nlx_149243 | SCR_006968 | Functional Analysis of Transcriptional Networks, Functional Analysis of Transcriptional Networks (FunNet) | 2026-09-12 12:56:48 | 17 | ||||||
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GOblet Resource Report Resource Website 1+ mentions |
GOblet (RRID:SCR_006998) | GOblet | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | Tool that performs annotation based on GO and pathway terms for anonymous cDNA or protein sequences. It uses the species independent GO structure and vocabulary together with a series of protein databases collected from various sites, to perform a detailed GO annotation by sequence similarity searches. The sensitivity and the reference protein sets can be selected by the user. GOblet runs automatically and is available as a public service on our web server. GOblet expects query sequences to be in FASTA-Format (with header-lines). Protein and nucleotide sequences are accepted. Total size of all sequences submitted per request should not be larger than 50kb currently. For security reasons: Larger post's will be rejected. Due to limited capacities the queries may be processed in batches depending on the server load. The output of the BLAST job is filtered automatically and the relevant hits are displayed. In addition, the respective GO-terms are shown together with the complete GO-hierarchy of parent terms., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, sequence, cdna, ontology or annotation browser, pathway, term enrichment, clustering, virus, genomic, protein, nucleotide |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
BMBF | PMID:20134064 PMID:15215401 PMID:12824400 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30624, OMICS_02271 | http://goblet.molgen.mpg.de | SCR_006998 | 2026-09-12 12:56:48 | 6 | |||||
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agriGO Resource Report Resource Website 1000+ mentions |
agriGO (RRID:SCR_006989) | agriGO | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A web-based tool and database for the gene ontology analysis. Its focus is on agricultural species and is user-friendly. The agriGO is designed to provide deep support to agricultural community in the realm of ontology analysis. Compared to other available GO analysis tools, unique advantages and features of agriGO are: # The agriGO especially focuses on agricultural species. It supports 45 species and 292 datatypes currently. And agriGO is designed as an user-friendly web server. # New tools including PAGE (Parametric Analysis of Gene set Enrichment), BLAST4ID (Transfer IDs by BLAST) and SEACOMPARE (Cross comparison of SEA) were developed. The arrival of these tools provides users with possibilities for data mining and systematic result exploration and will allow better data analysis and interpretation. # The exploratory capability and result visualization are enhanced. Results are provided in different formats: HTML tables, tabulated text files, hierarchical tree graphs, and flash bar graphs. # In agriGO, PAGE and SEACOMPARE can be used to carry out cross-comparisons of results derived from different data sets, which is very important when studying multiple groups of experiments, such as in time-course research. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | browser, gene, online tool, visualization, statistical analysis, term enrichment, text mining, ontology or annotation browser, ontology or annotation visualization, database or data warehouse, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: China Agricultural University; Beijing; China |
Ministry of Science and Technology of China 90817006; Ministry of Science and Technology of China 2006CB100105 |
PMID:20435677 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149099, OMICS_02265, biotools:agrigo | https://bio.tools/agrigo | SCR_006989 | agriGO -- GO Analysis Toolkit and Database for Agricultural Community | 2026-09-12 12:56:48 | 1743 | ||||
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YeTFaSCo Resource Report Resource Website 10+ mentions |
YeTFaSCo (RRID:SCR_006893) | YeTFaSCo | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Collection of all available transcription factor (TF) specificities for the yeast Saccharomyces cerevisiae in Position Frequency Matrix (PFM) or Position Weight Matrix (PWM) formats. The specificities are evaluated for quality using several metrics. With this website, you can scan sequences with the motifs to find where potential binding sites lie, inspect precomputed genome-wide binding sites, find which TFs have similar motifs to one you have found, and download the collection of motifs. Submissions are welcome. | transcription factor, binding site, sequence, yeast, motif, gene, genome, protein, protein complex |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Graduate Scholarship awards ; Canadian Institutes of Health Research Operating Grant MOP-490425; Canadian Institutes of Health Research Operating Grant MOP-86705 |
PMID:22102575 | Acknowledgement requested | nlx_151611, OMICS_01861 | SCR_006893 | Yeast Transcription Factor Specificity Compendium, YeTFaSCo: The Yeast Transcription Factor Specificity Compendium | 2026-09-12 12:56:47 | 34 | |||||
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DynGO Resource Report Resource Website 1+ mentions |
DynGO (RRID:SCR_007009) | DynGO | software resource | DynGO is a client-server application that provides several advanced functionalities in addition to the standard browsing capability. DynGO allows users to conduct batch retrieval of GO annotations for a list of genes and gene products, and semantic retrieval of genes and gene products sharing similar GO annotations (which requires more disk and memory to handle the semantic retrieval). The result are shown in an association tree organized according to GO hierarchies and supported with many dynamic display options such as sorting tree nodes or changing orientation of the tree. For GO curators and frequent GO users, DynGO provides fast and convenient access to GO annotation data. DynGO is generally applicable to any data set where the records are annotated with GO terms, as illustrated by two examples. Requirements: Java Platform: Windows compatible, Linux compatible, Unix compatible | gene, annotation, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
NSF IIS-0430743 | PMID:16091147 | Free for academic use | nlx_149118 | http://gauss.dbb.georgetown.edu/liblab | SCR_007009 | DynGO: a tool for visualizing and mining of Gene Ontology and its associations | 2026-09-12 12:56:49 | 6 | ||||
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EGAN: Exploratory Gene Association Networks Resource Report Resource Website 1+ mentions |
EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) | EGAN | data analysis software, data processing software, software application, software resource | Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible | gene, gene association, network, protein-protein interaction, pathway, interaction, annotation, signaling pathway, enrichment, cytoscape, visualization |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: Cytoscape has parent organization: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core |
NCI P30 CA92103 | PMID:19933825 | Free for academic use | nlx_149222 | SCR_008856 | Exploratory Gene Association Networks, Exploratory Gene Association Networks (EGAN) | 2026-09-12 12:57:10 | 8 | |||||
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Tk-GO Resource Report Resource Website |
Tk-GO (RRID:SCR_008855) | TkGO | software resource | Tk-GO is a GUI wrapping the basic functions of the GO AppHandle library from BDGP. GO terms are presented in an explorer-like browser, and behavior can be configured by altering Perl scripts. All available documentation is included in the download. Tk-GO uses the GO database (connects directly to the BDGP database by default) but is user-configurable. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | browser, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Illumina |
MIT License - Free for academic use | nlx_149133 | SCR_008855 | 2026-09-12 12:57:10 | 0 | ||||||||
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Spotfire Resource Report Resource Website 100+ mentions |
Spotfire (RRID:SCR_008858) | Spotfire | software resource | The Spotfire Gene Ontology Advantage Application integrates GO annotations with gene expression analysis in Spotfire DecisionSite for Functional Genomics. Researchers can select a subset of genes in DecisionSite visualizations and display their distribution in the Gene Ontology hierarchy. Similarly, selection of any process, function or cellular location in the Gene Ontology hierarchy automatically marks the corresponding genes in DecisionSite visualizations. Platform: Windows compatible | analysis, predictive analytics, big data, visualization, gene ontology, annotation, gene expression, functional genomics, gene, function, cellular location, statistical analysis, genomics |
is listed by: Gene Ontology Tools is listed by: Metabolomics Workbench is related to: Gene Ontology |
Commercial license. Spotfire is available for purchase (individual license / enterprise use) / Free trial. | nlx_149169 | SCR_008858 | Tibco Spotfire, Spotfire Inc., Spotfire Gene Ontology Advantage Application, Spotfire - TIBCO Software | 2026-09-12 12:57:10 | 490 | |||||||
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GOdist Resource Report Resource Website |
GOdist (RRID:SCR_005770) | GOdist | data analysis software, data processing software, software application, software resource | GOdist is a Matlab program that analyzes Affymetrix microarray expression data implementing Kolmogorov-Smirnov (KS) continuous statistics approach. It also implements the discrete approach using Fisher exact test employing a two-tailed hypergeometric distribution. GOdist enables detection of both kinds of changes within specific GO terms represented on the array in relation to different populations: the global array population, the direct parents of the analyzed GO term and the global parent of it (e.g. biological process, molecular function or cellular component). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, function, gene, gene expression, gene ontology, matlab, affymetrix, microarray, biological process, molecular function, cellular component, fisher exact test, kolmogorov-smirnov |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel |
PMID:15550480 | Free for academic use | nlx_149260 | SCR_005770 | 2026-09-12 12:56:31 | 0 | |||||||
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Ontologizer Resource Report Resource Website 100+ mentions |
Ontologizer (RRID:SCR_005801) | Ontologizer | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource, source code | The Ontologizer is a Java webstart application for GO term enrichment analysis that provides browsing and graph visualization capabilities. The Ontologizer allows users to analyze data with the standard Fisher exact test and also the parent-child method and topology methods. The tool can be started directly from the web using Java webstart. For graph visualizations, users need to install the GraphViz library. The tool is freely available to all, and source code is available at SourceForge. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | high-throughput, biological data, gene ontology, statistical analysis, fisher exact test, visualization, graph, java, annotation, parent-child, topology |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
DFG SFB 760 | PMID:18511468 PMID:17848398 |
Free for academic use | nlx_149289 | SCR_005801 | The Ontologizer | 2026-09-12 12:56:31 | 124 | |||||
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THEA - Tools for High-throughput Experiments Analysis Resource Report Resource Website |
THEA - Tools for High-throughput Experiments Analysis (RRID:SCR_005802) | THEA | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, on documented July 16, 2012. An integrated information processing system dedicated to the analysis of post-genomic data. It allows automatic annotation of data issued from classification systems with selected biological information (including the Gene Ontology). Users can either manually search and browse through these annotations, or automatically generate meaningful generalizations according to statistical criteria (data mining). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | high-throughput, analysis, ontology, microarray, genomic, annotation, gene ontology, data mining, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Virtual Biology Lab |
French Ministry of Higher Education and Research ; Bioinformatic Program |
PMID:15130932 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149290 | SCR_005802 | Tools for High-throughput Experiments Analysis | 2026-09-12 12:56:31 | 0 | |||||
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PubSearch Resource Report Resource Website 1+ mentions |
PubSearch (RRID:SCR_005830) | PubSearch | data or information resource, database, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. PubSearch is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. PubSearch can be downloaded from GMOD. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, annotate, editor, literature curation tool, literature, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: TAIR has parent organization: Stanford University; Stanford; California |
NHGRI R01HG02728 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149338 | SCR_005830 | 2026-09-12 12:56:32 | 1 | |||||||
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MAPPFinder Resource Report Resource Website 10+ mentions |
MAPPFinder (RRID:SCR_005791) | MAPPFinder | data analysis software, data processing software, software application, software resource | MAPPFinder is an accessory program for GenMAPP. This program allows users to query any existing GenMAPP Expression Dataset Criterion against GO gene associations and GenMAPP MAPPs (microarray pathway profiles). The resulting analysis provides the user with results that can be viewed directly upon the Gene Ontology hierarchy and within GenMAPP, by selecting terms or MAPPs of interest. Platform: Windows compatible | gene, gene ontology, gene association, gene expression, profile, microarray, pathway, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of California at San Francisco; California; USA has parent organization: Gene Map Annotator and Pathway Profiler |
University of California at San Francisco; California; USA ; San Francisco General Hospital; California; USA ; NHLBI ; NCRR MO1RR00083 |
PMID:12540299 | Free for academic use | nlx_149270 | SCR_005791 | 2026-09-12 12:56:31 | 26 | ||||||
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GOArray Resource Report Resource Website 1+ mentions |
GOArray (RRID:SCR_005785) | GOArray | data analysis software, data processing software, software application, software resource | GOArray is a Perl program which inputs a lists of genes annotated as of interest (GOI) or not, and determines if any associated GO terms have an overrepresentation of GOI. A permutation test is optionally used to assess confidence in the results. Output includes multiple visualizations and supplementary information and, for future reference, a summary of the statistical methods used. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | perl, gene, visualization, gene ontology, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Yale School of Medicine; Connecticut; USA |
Free for academic use | nlx_149259 | http://goarray.med.yale.edu/GOArray/ | SCR_005785 | 2026-09-12 12:56:31 | 1 | |||||||
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TrED Resource Report Resource Website 1+ mentions |
TrED (RRID:SCR_005869) | TrED | data analysis software, data or information resource, data processing software, database, software application, software resource | TrED is a database of Trichophyton rubrum, a fungus. The database contains strains, cDNA libraries, pathways, and microarray data as well as a directed set of literature. Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It''''s a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data including expressed sequence tags (ESTs) and transcriptional profiles of this important fungal pathogen are now available. Careful analysis of these data can give valuable information about potential virulence factors, antigens and novel metabolic pathways. We intend to create an integrated database TrED to facilitate the study of dermatophytes, and enhance the development of effective diagnostic and treatment strategies. All publicly available ESTs and expression profiles of T. rubrum during conidial germination in time-course experiments and challenged with antifungal agents are deposited in the database. In addition, comparative genomics hybridization results of 22 dermatophytic fungi strains from three genera, Trichophyton, Microsporum and Epidermophyton, are also included. ESTs are clustered and assembled to elongate the sequence length and abate redundancy. TrED provides functional analysis based on GenBank, Pfam, and KOG databases, along with KEGG pathway and GO vocabulary. It is integrated with a suite of custom web-based tools that facilitate querying and retrieving various EST properties, visualization and comparison of transcriptional profiles, and sequence-similarity searching by BLAST. TrED is built upon a relational database, with a web interface offering analytic functions, to provide integrated access to various expression data of T. rubrum and comparative results of dermatophytes. It is devoted to be a comprehensive resource and platform to assist functional genomic studies in dermatophytes. | expressed sequence tag, transcriptional profile, fungal pathogen, bmu01672, chuv862.00, mya-3108, cdna, pathway, microarray, classification, blast, unisequence, peptide, annotation |
is related to: Gene Ontology is related to: KEGG is related to: GenBank is related to: Pfam |
Ministry of Science and Technology of China 2006AA020504 | PMID:17650345 | nlx_149408 | SCR_005869 | TrED - T. rubrum Expression Database, Trichophyton rubrum Expression Database, Trichophyton rubrum Expression Database (TrED) | 2026-09-12 12:56:32 | 5 | ||||||
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BiNGO: A Biological Networks Gene Ontology tool Resource Report Resource Website 500+ mentions |
BiNGO: A Biological Networks Gene Ontology tool (RRID:SCR_005736) | BiNGO | software resource | The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape''''s versatile visualization environment to produce an intuitive and customizable visual representation of the results. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, ontology, statistical analysis, term enrichment, biological network, plugin, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Cytoscape has parent organization: Ghent University; Ghent; Belgium |
PMID:15972284 | Open unspecified license - Free for academic use | nlx_149196, biotools:bingo | https://bio.tools/bingo | SCR_005736 | Biological Networks Gene Ontology | 2026-09-12 12:56:30 | 806 | |||||
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InterSpecies Analysing Application using Containers Resource Report Resource Website 10+ mentions |
InterSpecies Analysing Application using Containers (RRID:SCR_006243) | ISAAC | analysis service resource, data analysis service, production service resource, service resource, software resource | Web based tool to enable the analysis of sets of genes, transcripts and proteins under different biological viewpoints and to interactively modify these sets at any point of the analysis. Detailed history and snapshot information allows tracing each action. One can switch back to previous states and perform new analyses. Sets can be viewed in the context of genomes, protein functions, protein interactions, pathways, regulation, diseases and drugs. Additionally, users can switch between species with an automatic, orthology based translation of existing gene sets. Sets as well as results of analyses can be exchanged between members of groups. | protein function, protein interaction, pathway, mirna, disease, drug, gene, genome, transcript, protein, regulation |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Wurzburg; Bavaria; Germany |
PMID:24428905 | OMICS_02237 | SCR_006243 | ISAAC (Interspecies Analysing Application using Containers), ISAAC - InterSpecies Analysing Application using Containers, Interspecies Analysing Application using Containers - ISAAC | 2026-09-12 12:56:37 | 37 | |||||||
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OBO Resource Report Resource Website 100+ mentions |
OBO (RRID:SCR_007083) | OBO | controlled vocabulary, data or information resource, knowledge environment, narrative resource, ontology, standard specification | A collaboration involving developers of science-based ontologies who are establishing a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. In addition to a listing of OBO ontologies, this site provides a statement of the OBO Foundry principles, discussion fora, technical infrastructure, and other services to facilitate ontology development. Feedback is welcome and participation encouraged. | biomedical, metadata standard, gold standard, FASEB list |
lists: CHEBI lists: NCI Thesaurus lists: Porifera Ontology lists: Gazetteer lists: Human Disease Ontology lists: Information Artifact Ontology lists: Teleost Anatomy Ontology lists: Gene Ontology lists: Spider Ontology lists: Mental Functioning Ontology lists: Ascomycete Phenotype Ontology lists: Beta Cell Genomics Ontology lists: Biological Collections Ontology lists: Emotion Ontology lists: Chemical Methods Ontology lists: Chemical Information Ontology lists: Clinical Measurement Ontology lists: Common Anatomy Reference Ontology lists: Experimental Conditions Ontology lists: Dictyostelium Discoideum Anatomy Ontology lists: Fission Yeast Phenotype Ontology lists: Fly Taxonomy lists: FlyBase Controlled Vocabulary lists: Hymenoptera Anatomy Ontology lists: Influenza Ontology lists: Lipid Ontology lists: Kinetic Simulation Algorithm Ontology lists: Malaria Ontology lists: Measurement Method Ontology lists: Minimal Anatomical Terminology lists: Ontology for Genetic Interval lists: Ontology for Parasite LifeCycle lists: Ontology of Adverse Events lists: Ontology of Medically Related Social Entities lists: Ontology of Vaccine Adverse Events lists: Rat Strain Ontology lists: Plant Environmental Conditions lists: Plant Trait Ontology lists: Population and Community Ontology lists: RNA Ontology lists: Rat Strain Ontology lists: Subcellular Anatomy Ontology lists: Software Ontology lists: Suggested Ontology for Pharmacogenomics lists: Vertebrate Taxonomy Ontology lists: Physico-Chemical Process lists: Adverse Event Reporting Ontology lists: Xenopus Anatomy Ontology lists: Cell Line Ontology lists: Human Phenotype Ontology lists: Neurobehavior Ontology lists: Ontology for Biomedical Investigations lists: Comparative Data Analysis Ontology lists: Ontology for General Medical Science lists: Physico-Chemical Methods and Properties lists: Gene Regulation Ontology is listed by: FORCE11 is related to: MeGO is related to: Drosophila anatomy and development ontologies is related to: Cell Type Ontology is related to: OBO-Edit is related to: go-perl is related to: OWLTools is related to: Zebrafish Anatomical Ontology is related to: OBO Tracker: Plant Ontology (PO) TERM requests is related to: eVOC is related to: OnEx - Ontology Evolution Explorer is related to: BioPerl is related to: dkCOIN is related to: Standards-based Infrastructure with Distributed Resources is related to: OntoVisT is related to: COBrA is related to: Wandora is related to: ONTO-PERL is related to: Genomic Standards Consortium is related to: Ontology Lookup Service is related to: LexGrid is related to: SBO is related to: RIKEN integrated database of mammals is related to: DOAF is related to: Gene Ontology is related to: African Population Ontology has parent organization: Berkeley Bioinformatics Open-Source Projects is parent organization of: OBO Relation Ontology is parent organization of: SO is parent organization of: PATO is parent organization of: MPO is parent organization of: AEO is parent organization of: UBERON |
PMID:17989687 | nlx_22892 | SCR_007083 | The Open Biomedical Ontologies, OBO Foundry, Open Biological and Biomedical Ontologies, Open Biological and Biomedical Ontology Foundry | 2026-09-12 12:56:49 | 182 | |||||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-12 12:56:57 | 7 |
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