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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Athena Resource Report Resource Website 100+ mentions |
Athena (RRID:SCR_008110) | data or information resource, database | Athena is a web-based application that warehouses disparate datatypes related to the control of gene expression. Athena provides several features to enable exploration of the regulatory mechanisms of Arabidopsis gene control. The first main tool we provide is visualization of promoter domains of selected genes. Database crossreference for these transcription factors is provided as well as a statistical test for enrichment of binding activity within the set of selected promoters. The data mining tools in Athena allow for selection of sets of genes based on two different factors. -Genes can be select by specifying a set of binding factors whose putative sites must be present within all of those genes'' promoter regions. -Alternatively, genes can be selected using Gene Ontology annotations. Both GO (Gene Ontology) Slim terms and Gene Ontology terms are available. One can select a set of genes by either choosing a union of the genes annotated by a selected set of Slim terms or Gene Ontology terms. The selected gene''s putative binding factors are listed, including enrichment data. Furthermore, enriched presence of Gene Ontology terms is given. The analysis suite provides both enhanced data mining tools for selecting genes as well as several data displays., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene control, gene expression, arabidopsis, binding factor, regulatory mechanism, ontology, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Washington State University; Washington; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20815, biotools:Athena | https://bio.tools/Athena | SCR_008110 | SciCrunch Registry | Athena | 2026-10-24 12:50:52 | 495 | |||||||
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ShinyGO Resource Report Resource Website 1000+ mentions |
ShinyGO (RRID:SCR_019213) | data access protocol, software resource, web service | Software graphical gene set enrichment tool for animals and plants. Graphical web application to gain insights from gene sets. Features include graphical visualization of enrichment results and gene characteristics, and application program interface access to KEGG and STRING for retrieval of pathway diagrams and protein-protein interaction networks. | Graphical gene set enrichment, animal gene, plant gene, graphical visualization, enrichment results, gene characteristics, pathway diagrams retrieval, protein interaction network, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: STRING is related to: KEGG has parent organization: South Dakota State University; South Dakota; USA |
PMID:31882993 | biotools:ShinyGO | https://bio.tools/ShinyGO | SCR_019213 | SciCrunch Registry | ShinyGO 0.77, ShinyGO 0.80, Shiny Gene Ontology, ShinyGO v0.61 | 2026-10-24 12:48:08 | 1213 | |||||||
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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 | SciCrunch Registry | agriGO -- GO Analysis Toolkit and Database for Agricultural Community | 2026-10-24 12:45:55 | 1743 | ||||
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GoMapMan Resource Report Resource Website 10+ mentions |
GoMapMan (RRID:SCR_005060) | GoMapMan | data or information resource, database, service resource | An open web-accessible resource for gene functional annotations in the plant sciences to facilitate improvement, consolidation and visualization of gene annotations across several plant species. It is based on the MapMan ontology, organized in the form of a hierarchical tree of biological concepts, which describe gene functions. Currently, genes of the model species Arabidopsis, potato, tomato, rice, and tobacco are included. The main features are (i) dynamic and interactive gene product annotation through various curation options; (ii) consolidation of gene annotations for different plant species through the integration of orthologue group information; (iii) traceability of gene ontology changes and annotations; (iv) integration of external knowledge about genes from different public resources; and (v) providing gathered information to high-throughput analysis tools via dynamically generated export files. All of the GoMapMan functionalities are openly available, with the restriction on the curation functions, which require prior registration to ensure traceability of the implemented changes. | functional annotation, function, annotation, gene, visualization, ortholog, ontology, microarray, gene annotation, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Set Enrichment Analysis is related to: MapMan is related to: Biomine is related to: SEGS has parent organization: Jozef Stefan Institute; Ljubljana; Slovenia |
Slovenian Research Agency J4-2228; Slovenian Research Agency P2-0103 |
PMID:24194592 | Creative Commons Attribution-NonCommercial-ShareAlike License | biotools:gomapman, OMICS_02280 | https://bio.tools/gomapman | SCR_005060 | SciCrunch Registry | 2026-10-24 12:50:32 | 29 | |||||
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ProfCom - Profiling of complex functionality Resource Report Resource Website 1+ mentions |
ProfCom - Profiling of complex functionality (RRID:SCR_005797) | ProfCom | analysis service resource, data analysis service, production service resource, service resource | Profiling of Complex Functionality (ProfCom) is a web-based tool for the functional interpretation of a gene list that was identified to be related by experiments. A trait which makes ProfCom a unique tool is an ability to profile enrichments of not only available Gene Ontology (GO) terms but also of complex function. A complex function is constructed as Boolean combination of available GO terms. The complex functions inferred by ProfCom are more specific in comparison to single terms and describe more accurately the functional role of genes. Platform: Online tool | gene, function, profile, gene ontology, complex function, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Institute of Bioinformatics and Systems Biology; Neuherberg; Germany |
DFG | PMID:16959266 | Free for academic use | biotools:profcom, nlx_149276 | https://bio.tools/profcom | SCR_005797 | SciCrunch Registry | Profiling of Complex Functionality, Profiling of Complex Functionality (ProfCom) | 2026-10-24 12:50:36 | 4 | ||||
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QuickGO Resource Report Resource Website 500+ mentions |
QuickGO (RRID:SCR_004608) | QuickGO | controlled vocabulary, data access protocol, data or information resource, database, ontology, software resource, web service | A web-based browser for Gene Ontology terms and annotations, which is provided by the UniProtKB-GOA group at the EBI. It is able to offer a range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. The software for QuickGO is freely available under the Apache 2 license. QuickGO can supply GO term information and GO annotation data via REST web services. | gene, ontology, annotation, browser, visualization, search engine, slimmer-type tool, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, windows, mac os x, linux, unix, gold standard, bio.tools |
is listed by: OMICtools is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: STRAP has parent organization: European Bioinformatics Institute |
BBSRC BB/E023541/1 | PMID:19744993 PMID:20157483 |
Apache License, v2, Free for academic use | biotools:quickgo, nlx_60318, OMICS_02276 | https://bio.tools/quickgo | SCR_004608 | SciCrunch Registry | Quick GO | 2026-10-24 12:45:14 | 556 | ||||
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T-profiler Resource Report Resource Website 10+ mentions |
T-profiler (RRID:SCR_003452) | T-profiler | analysis service resource, data analysis service, production service resource, service resource | One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool | expression, gene, binding, cellular, transcriptional, gene expression, microarray, gene ontology, transcription factor, binding motif, chip-chip, chip, motif, t-test, statistical analysis, transcriptome, bio.tools |
is listed by: Biositemaps is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Columbia University; New York; USA has parent organization: University of Amsterdam; Amsterdam; Netherlands |
Netherlands Foundation for Technical Research APB.5504; NHGRI R01HG003008 |
PMID:15980543 | Free for academic use | nif-0000-33354, biotools:t-profiler | https://bio.tools/t-profiler | SCR_003452 | SciCrunch Registry | T-profiler: Scoring the Activity of Pre-defined Groups of Genes Using Gene Expression Data | 2026-10-24 12:50:27 | 11 | ||||
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Candida Genome Database Resource Report Resource Website 500+ mentions |
Candida Genome Database (RRID:SCR_002036) | CGD, CGD LOCUS, CGD REF | data or information resource, data repository, database, service resource, storage service resource | Database of genetic and molecular biological information about Candida albicans. Contains information about genes and proteins, descriptions and classifications of their biological roles, molecular functions, and subcellular localizations, gene, protein, and chromosome sequence information, tools for analysis and comparison of sequences and links to literature information. Each CGD gene or open reading frame has an individual Locus Page. Genetic loci that are not tied to DNA sequence also have Locus Pages. Provides Gene Ontology, GO, to all its users. Three ontologies that comprise GO (Molecular Function, Cellular Component, and Biological Process) are used by multiple databases to annotate gene products, so that this common vocabulary can be used to compare gene products across species. Development of ontologies is ongoing in order to incorporate new information. Data submissions are welcome. | protein, chromosome, classification, gene, genome, candidiasis, thrush, yeast, yeast gene, yeast genome, candida albicans, candida glabrata, data analysis service, biological role, molecular function, subcellular localization, chromosome sequence, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: ASPGD is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
NIDCR DE015873 | PMID:19808938 | Free, Available for download, Freely available | biotools:cgd, nif-0000-02634, r3d100010617 | https://bio.tools/cgd | SCR_002036 | SciCrunch Registry | 2026-10-24 12:44:42 | 506 | |||||
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GO2MSIG Resource Report Resource Website 1+ mentions |
GO2MSIG (RRID:SCR_018359) | data or information resource, data set |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists. Gene set collections can be automatically created for wide variety of species. |
bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Broad Institute |
PMID:24884810 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:go2msig | https://bio.tools/go2msig | http://www.go2msig.org/cgi-bin/go2msig.cgi | SCR_018359 | SciCrunch Registry | 2026-10-24 12:53:00 | 6 | ||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | SciCrunch Registry | 2026-10-24 12:49:07 | 69 | |||||
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GSA-SNP Resource Report Resource Website 10+ mentions |
GSA-SNP (RRID:SCR_013109) | GSA-SNP | data processing software, software application, software resource | A tool for the gene-set (or pathway) analysis of a genome-wide association study result. It accepts a genome-wide list of SNPs and their association P-values. It summarizes the SNP P-values into nearby genes. The gene-by-gene summary results are then further summarized by gene-sets such as Gene Ontology, KEGG pathways, or user-created gene-sets. Various standardization and statistical tests can be performed and the resulting gene-sets that pass a significance level after multiple-testing correction are reported. The tool is written in Java and is available as a standalone version. | clinical neuroinformatics, computational neuroscience, imaging genomics, bio.tools |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools has parent organization: Soongsil University; Seoul; South Korea |
PMID:20501604 | GNU General Public License v2 | nlx_155765, biotools:gsa-snp | https://bio.tools/gsa-snp | SCR_013109 | SciCrunch Registry | 2026-10-24 12:49:57 | 18 | ||||||
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice. | other analysis, cluster, analysis, visualization, gene expression, genomic, gene ontology, gene association, microarray, protein-protein interaction, gene, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Bioinformatics Institute |
European Union ; Wellcome Trust ; Estonian Science Foundation 5724; Estonian Science Foundation 5722 |
PMID:15215431 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:expression_profiler, nlx_149323 | https://bio.tools/expression_profiler | SCR_005821 | SciCrunch Registry | Expression Profiler at the EBI | 2026-10-24 12:50:36 | 6 | ||||
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AgBase Resource Report Resource Website 100+ mentions |
AgBase (RRID:SCR_007547) | AgBase | data or information resource, database | A curated, open-source, web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase provides tools designed to assist with the analysis of proteomics data and tools to evaluate experimental datasets using the GO. Additional tools for sequence analysis are also provided. We use controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species. AgBase will also accept annotations from any interested party in the research communities. AgBase develops freely available tools for functional analysis, including tools for using GO. We appreciate any and all questions, comments, and suggestions. AgBase uses the NCBI Blast program for searches for similar sequences. And the Taxonomy Browser allows users to find the NCBI defined taxon ID for or taxon name for different organisms. | gene ontology, agricultural species, biological process, cellular component for genes, molecular function, protein identification, animals, plants, microbes, parasites, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: IntAct has parent organization: Mississippi State University; Mississippi; USA is parent organization of: GORetriever is parent organization of: GOSlimViewer is parent organization of: GOProfiler is parent organization of: GOanna |
Mississippi State University; Mississippi; USA ; USDA Agriculture and Food Research Initiative Competitive Grant 2011-67015-30332; National Research Initiative of the USDA Cooperative State Research Education and Extension Service 2007-35205-17941; NIGMS project 07111084; NSF EPS 0903787 |
PMID:21075795 | nif-0000-02537, biotools:agbase, r3d100012427 | https://bio.tools/agbase, https://doi.org/10.17616/R3P772 | SCR_007547 | SciCrunch Registry | 2026-10-24 12:50:44 | 112 | ||||||
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RACE Resource Report Resource Website 100+ mentions |
RACE (RRID:SCR_010950) | RACE | analysis service resource, data analysis service, production service resource, service resource | A collection of web tools designed to assist with the analysis of DNA microarray data and results. RACE performs probe level data preprocessing, quality checks, normalization, and visualization for Affymetrix GeneChips. In addition, it performs clustering and differential analysis of normalized expression levels or ratios for arbitrary platforms, and estimates the false discovery rates in lists of potentially regulated genes. A Gene Ontology (GO)-term analysis assists in the biological interpretation of gene lists. The user can customize each analysis request; upon submission the analysis is executed in a fully automated way., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | dna microarray, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Lausanne; Lausanne; Switzerland |
PMID:15980552 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00777, biotools:race | https://bio.tools/race | SCR_010950 | SciCrunch Registry | Remote Analysis Computation for gene Expression data | 2026-10-24 12:51:02 | 357 | |||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | analysis service resource, controlled vocabulary, data analysis service, data or information resource, data repository, database, ontology, production service resource, service resource, storage service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SciCrunch Registry | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-10-24 12:49:06 | 830 | ||||
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GoSurfer Resource Report Resource Website 1+ mentions |
GoSurfer (RRID:SCR_005789) | GoSurfer | software application, software resource | GoSurfer uses Gene Ontology (GO) information to analyze gene sets obtained from genome-wide computations or microarray analyses. GoSurfer is a graphical interactive data mining tool. It associates user input genes with GO terms and visualizes such GO terms as a hierarchical tree. Users can manipulate the tree output by various means, like setting heuristic thresholds or using statistical tests. Significantly important GO terms resulted from a statistical test can be highlighted. All related information are exportable either as texts or as graphics. Platform: Windows compatible | gene, gene ontology, genome-wide, microarray, graph, data mining, statistical analysis, bioinformatics, genomics, gene cluster, multiple hypothesis testing, false discovery rate, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Illinois at Urbana-Champaign; Illinois; USA has parent organization: Harvard T.H. Chan School of Public Health |
PMID:15702958 | Free for academic use | biotools:gosurfer, nlx_149268 | http://www.gosurfer.org, https://bio.tools/gosurfer | http://bioinformatics.bioen.illinois.edu/gosurfer/index.htm | SCR_005789 | SciCrunch Registry | 2026-10-24 12:51:26 | 2 | |||||
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Graph2GO Resource Report Resource Website 1+ mentions |
Graph2GO (RRID:SCR_018726) | data analysis software, data processing software, software application, software resource | Software tool as graph based representation learning method for protein function prediction. Multi modal graph based representation learning model that can integrate heterogeneous information including multiple types of interaction networks including sequence similarity network and protein-protein interaction network, and protein features including amino acid sequence, sub cellular location and protein domains, to predict protein functions on Gene Ontology. | Protein function prediction, graph neural network, attributed network embedding, representation learning, multi-modal model, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Ohio State University College of Medicine; Ohio; USA |
Free, Available for download, Freely available | SCR_018727, biotools:graph2go | https://integrativeomics.shinyapps.io/graph2go/, https://bio.tools/graph2go | SCR_018726 | SciCrunch Registry | 2026-10-24 12:48:02 | 2 | ||||||||
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SeqExpress Resource Report Resource Website |
SeqExpress (RRID:SCR_007075) | data processing software, software application, software resource | A comprehensive analysis and visualization software package for gene expression experiments that provides: a number of clustering and analysis techniques; integrated gene expression and analysis result visualizations, integration with the Gene Expression Omnibus; and an optional data sharing architecture. GO is used to assign functional enrichment scores to clusters, using a combination of specially developed techniques and general statistical methods. These results can be explored using the in built ontology browsing tool or through the generated web pages. SeqExpress also supports numerous data transformation, projection, visualization, file export/import, searching, integration (with R), and clustering options. | gene, gene expression, function, analysis, visualization, statistical analysis, windows, c#, gene function, chromosome location, 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: Gene Expression Omnibus |
PMID:14988116 | Free | nlx_149285, biotools:seqexpress | https://bio.tools/seqexpress | SCR_007075 | SciCrunch Registry | 2026-10-24 12:49:53 | 0 | |||||||
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GoFish Resource Report Resource Website 1+ mentions |
GoFish (RRID:SCR_005682) | GoFish | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | Software program, available as a Java applet online or to download, allows the user to select a subset of Gene Ontology (GO) attributes, and ranks genes according to the probability of having all those attributes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, ontology or annotation browser, java, windows, mac os x, linux, unix, 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: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA |
Aventis Pharmaceuticals ; Howard Hughes Medical Institute ; NHGRI |
PMID:12691998 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:gofish, nlx_149126, OMICS_02272 | http://llama.mshri.on.ca/Software.html, https://bio.tools/gofish | SCR_005682 | SciCrunch Registry | 2026-10-24 12:45:30 | 1 | |||||
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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 | SciCrunch Registry | 2026-10-24 12:50:37 | 130 |
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