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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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SGD Gene Ontology Slim Mapper Resource Report Resource Website 10+ mentions |
SGD Gene Ontology Slim Mapper (RRID:SCR_005784) | GO Slim Mapper | data analysis service, production service resource, service resource, analysis service resource | The GO Slim Mapper (aka GO Term Mapper) maps the specific, granular GO terms used to annotate a list of budding yeast gene products to corresponding more general parent GO slim terms. Uses the SGD GO Slim sets. Three GO Slim sets are available at SGD: * Macromolecular complex terms: protein complex terms from the Cellular Component ontology * Yeast GO-Slim: GO terms that represent the major Biological Processes, Molecular Functions, and Cellular Components in S. cerevisiae * Generic GO-Slim: broad, high level GO terms from the Biological Process and Cellular Component ontologies selected and maintained by the Gene Ontology Consortium (GOC) Platform: Online tool | gene, annotation, gene ontology, protein complex, biological process, molecular function, cellular component, gene ontology, orf, yeast, statistical analysis, slimmer-type tool, function |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: SGD |
Free for academic use | nlx_149258 | SCR_005784 | GO Term Mapper, Gene Ontology Slim Mapper | 2026-02-14 02:05:53 | 31 | |||||||
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GO-Module Resource Report Resource Website 1+ mentions |
GO-Module (RRID:SCR_005813) | GO-Module | data analysis service, production service resource, service resource, analysis service resource | GO-Module provides an interface to reduce the dimensionality of GO enrichment results and produce interpretable biomodules of significant GO terms organized by hierarchical knowledge that contain only true positive results. Users can download a text file of GO terms annotated with their significance and identified biomodules, a network visualization of resultant GO IDs or terms in PDF format, and view results in an online table. Platform: Online tool | functional similarity, visualization, other analysis, reduce the dimensionality of go enrichment results, produce interpretable biomodules of significant go terms, gene ontology, ontology or annotation visualization, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: AmiGO has parent organization: University of Illinois at Chicago; Illinois; USA |
NIH ; Cancer Research Foundation ; NLM K22 LM008308; NCI 1U54CA121852; NCRR UL1 RR024999 |
PMID:21421553 | Free for academic use | nlx_149322 | SCR_005813 | Hierarchical optimization of enriched GO terms | 2026-02-14 02:05:53 | 3 | |||||
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GOanna Resource Report Resource Website 10+ mentions |
GOanna (RRID:SCR_005684) | GOanna | data analysis service, production service resource, service resource, analysis service resource | GOanna is used to find annotations for proteins using a similarity search. The input can be a list of IDs or it can be a list of sequences in FASTA format. GOanna will retrieve the sequences if necessary and conduct the specified BLAST search against a user-specified database of GO annotated proteins. The resulting file contains GO annotations of the top BLAST hits. The sequence alignments are also provided so the user can use these to access the quality of the match. Platform: Online tool | agriculture, annotation, protein, ontology or annotation search engine, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149139 | SCR_005684 | AgBase GOanna | 2026-02-14 02:06:24 | 17 | |||||
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FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products Resource Report Resource Website |
FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products (RRID:SCR_005738) | FuSSiMeG | data analysis service, production service resource, service resource, analysis service resource | FuSSiMeG is being discontinued, may not be working properly. Please use our new tool ProteinOn. Functional Semantic Similarity Measure between Gene Products (FuSSiMeG) provides a functional similarity measure between two proteins using the semantic similarity between the GO terms annotated with the proteins. Platform: Online tool | protein, similarity, gene ontology, gene, ontology, statistical analysis, term enrichment, semantic similarity, analysis, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: ProteInOn has parent organization: University of Lisbon; Lisbon; Portugal |
Free for academic use | nlx_149198 | SCR_005738 | Functional Semantic Similarity Measure between Gene-Products, Functional Semantic Similarity Measure between Gene Products (FuSSiMeG) | 2026-02-14 02:05:53 | 0 | |||||||
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GoMiner Resource Report Resource Website 100+ mentions |
GoMiner (RRID:SCR_002360) | GoMiner | software resource, data processing software, software application | GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches. | experiment, expression, function, gene, genomics, biological, genomic, microarray, omic, process, gene expression, gene ontology, biological process, biological function, biological component, proteomic, database, FASEB list |
is related to: Gene Ontology is related to: High-Throughput GoMiner has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA has parent organization: National Cancer Institute |
NCI ; Georgia Institute of Technology; Georgia; USA ; Emory University; Georgia; USA |
PMID:12702209 | nif-0000-21181 | SCR_002360 | 2026-02-14 02:05:16 | 115 | |||||||
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AnimalTFDB Resource Report Resource Website 100+ mentions |
AnimalTFDB (RRID:SCR_001624) | AnimalTFDB | data or information resource, database | A comprehensive transcription factor (TF) database in which they identified and classified all the genome-wide TFs in 50 sequenced animal genomes (Ensembl release version 60). In addition to TFs, it also collects transcription co-factors and chromatin remodeling factors of those genomes, which play regulatory roles in transcription. Here they defined the TFs as proteins containing a sequence-specific DNA-binding domain (DBD) and regulating target gene expression. Currently, the AnimalTFDB classifies all the animal TFs into 72 families according to their conserved DBDs. Gene lists of transcription factors, transcription co-factors and chromatin remodeling factors of each species are available for downloading., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | transcription factor, dna-binding domain, transcription co-factor, chromatin remodeling factor, gene structure, functional domain, go annotation, protein interaction, ortholog, paralog, 3d structure, pathway, protein-protein interaction, binding site, target, data set, image collection, 3d spatial image, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Ensembl has parent organization: Huazhong University of Science and Technology; Wuhan; China |
Huazhong University of Science and Technology; Wuhan; China ; Fundamental Research Funds for the Central Universities 2010MS045; National Natural Science Foundation of China 31171271 |
PMID:22080564 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153892, OMICS_01856, biotools:animal_tfdb | https://bio.tools/animal_tfdb | SCR_001624 | Animal Transcription Factor Database | 2026-02-14 02:05:36 | 289 | ||||
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Automated Microarray Pipeline Resource Report Resource Website |
Automated Microarray Pipeline (RRID:SCR_001219) | AMP | data analysis service, production service resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented November 4, 2015. Web application based on the TM4 Microarray Software Suite to provide a means of normalization and analysis of microarray data. Users can upload data in the form of Affymetrix CEL files, and define an analysis pipeline by selecting several intuitive options. It performs data normalization (eg RMA), basic statistical analysis (eg t-test, ANOVA), and analysis of annotation using gene classification (eg Gene Ontology term assignment). The analysis are performed without user intervention and the results are presented in a web-based summary that allows data to be downloaded in a variety of formats compatible with further directed analysis. | microarray, normalization |
is listed by: OMICtools is related to: Gene Ontology has parent organization: TM4 |
NLM R01-LM008795 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02125 | http://www.tm4.org/amp.html | SCR_001219 | TM4 AMP, AMP: Automated Microarray Pipeline, AMP (TM4 Microarray Software Suite), TM4 Microarray Software Suite: Automated Microarray Pipeline, TM4 Microarray Software Suite: AMP | 2026-02-14 02:06:01 | 0 | |||||
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WegoLoc Resource Report Resource Website 1+ mentions |
WegoLoc (RRID:SCR_001402) | WegoLoc | data analysis service, production service resource, service resource, analysis service resource | Data analysis service that predicts protein subcellular localizations of animal, fungal, plant, and human proteins based on sequence similarity and gene ontology information. | subcellular localization, protein |
is listed by: OMICtools is related to: Gene Ontology |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01636 | SCR_001402 | weighted gene ontology term based subcellular locallization prediction | 2026-02-14 02:05:44 | 4 | |||||||
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pSTIING Resource Report Resource Website 1+ mentions |
pSTIING (RRID:SCR_002045) | pSTIING | data or information resource, database | A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis. | protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, gene |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University College London; London; United Kingdom |
Inflammation, Tumor, Cancer | PMID:16381926 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01916 | SCR_002045 | Protein Signalling Transcriptional Interactions and Inflammation Networks Gateway, Protein Signalling Transcriptional Interactions & Inflammation Networks Gateway | 2026-02-14 02:05:37 | 2 | |||||
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GOToolBox Functional Investigation of Gene Datasets Resource Report Resource Website 10+ mentions |
GOToolBox Functional Investigation of Gene Datasets (RRID:SCR_003192) | GOToolBox | software resource, source code, service resource | The GOToolBox web server provides a series of programs allowing the functional investigation of groups of genes, based on the Gene Ontology resource. The web version of the GOToolBox is free for non-commercial users only. Users from commercial companies are allowed to use the site during a reasonable testing period. For a regular use of the web version, a license fee should be paid. We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license. Platform: Online tool | gene, annotation, statistical analysis, slimmer-type tool, function, cluster, gene association, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Center for Genomic Regulation; Barcelona; Spain |
Action Bioinformatique inter-EPST ; French Ministere de l'Education de la Recherche et de la Technologie ; Fondation pour la Recherche Medicale |
PMID:15575967 | Free, Freely available | nif-0000-30623 | http://burgundy.cmmt.ubc.ca/GOToolBox/ | SCR_003192 | GOToolBox - Functional Investigation of Gene Datasets, GOToolBox : Functional Investigation of Gene Datasets | 2026-02-14 02:05:49 | 35 | ||||
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Biomine Resource Report Resource Website 1+ mentions |
Biomine (RRID:SCR_003552) | Biomine | data or information resource, service resource, database | Service that integrates cross-references from several biological databases into a graph model with multiple types of edges, such as protein interactions, gene-disease associations and gene ontology annotations. Edges are weighted based on their type, reliability, and informativeness. In particular, it formulates protein interaction prediction and disease gene prioritization tasks as instances of link prediction. The predictions are based on a proximity measure computed on the integrated graph. | gene, protein, genetics, visualization, connection, biological entity, protein interaction, disease gene, link prediction |
is related to: Entrez Gene is related to: Gene Ontology is related to: HomoloGene is related to: InterPro is related to: OMIM is related to: STRING is related to: UniProtKB is related to: UniProt is related to: GoMapMan has parent organization: University of Helsinki; Helsinki; Finland |
PMID:22672646 | nlx_157687 | SCR_003552 | 2026-02-14 02:06:12 | 4 | ||||||||
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SEGS Resource Report Resource Website 1+ mentions |
SEGS (RRID:SCR_003554) | SEGS | data analysis service, production service resource, service resource, analysis service resource | A web tool for descriptive analysis of microarray data. The analysis is performed by looking for descriptions of gene sets that are statistically significantly over- or under-expressed between different scenarios within the context of a genome-scale experiments (DNA microarray). Descriptions are defined by using the terms from the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene-gene interactions found in the ENTREZ database. Gene annotations by GO and KEGG terms can also be found in the ENTREZ database. The tool provides three procedures for testing the enrichment of the gene sets (over- or under-expressed): Fisher's exact test, GSEA and PAGE, and option for combining the results of the tests. Because of the multiple-hypothesis testing nature of the problem, all the p-values are computed using the permutation testing method. | microarray, pathway, gene-gene interaction, gene, interaction, annotation, gene expression, ortholog, molecular function, biological process, cellular component, enriched gene set, gene set |
is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: GoMapMan has parent organization: Jozef Stefan Institute; Ljubljana; Slovenia |
PMID:18234563 | nlx_157688 | SCR_003554 | Search for Enriched Gene Sets | 2026-02-14 02:05:50 | 3 | |||||||
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T-profiler Resource Report Resource Website 10+ mentions |
T-profiler (RRID:SCR_003452) | T-profiler | data analysis service, production service resource, service resource, analysis 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 | T-profiler: Scoring the Activity of Pre-defined Groups of Genes Using Gene Expression Data | 2026-02-14 02:06:14 | 11 | ||||
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Gemma Resource Report Resource Website 1000+ mentions |
Gemma (RRID:SCR_008007) | Gemma | data or information resource, database | Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results. | chip, microarray, functional genomics, gene expression, coexpression, differential expression, FASEB list |
is used by: NIF Data Federation is used by: Integrated Data Annotation is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: Gene Expression Omnibus is related to: Phenocarta has parent organization: University of British Columbia; British Columbia; Canada is parent organization of: Neurocarta |
NIGMS GM076990; Canadian Foundation for Innovation ; Michael Smith Foundation for Health Research ; Canadian Institutes for Health Research |
PMID:22782548 | Free, Freely available | nif-0000-08127, r3d100012747 | https://sources.debian.org/src/gemma/ https://doi.org/10.17616/R36R54 https://doi.org/10.17616/R36R54 |
SCR_008007 | 2026-02-14 02:06:41 | 1112 | |||||
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GOstat Resource Report Resource Website 100+ mentions |
GOstat (RRID:SCR_008535) | GOstat | data analysis service, production service resource, service resource, analysis service resource | GOstat is a tool that allows you to find statistically overrepresented Gene Ontologies within a group of genes. The Gene-Ontology database (GO: http://www.geneontology.org) provides a useful tool to annotate and analyze the function of large numbers of genes. Modern experimental techniques, as e.g. DNA microarrays, often result in long lists of genes. To learn about the biology in this kind of data it is desirable to find functional annotation or Gene-Ontology groups which are highly represented in the data. This program (GOstat) should help in the analysis of such lists and will provide statistics about the GO terms contained in the data and sort the GO annotations giving the most representative GO terms first. Run GOstat: * Go to search form - Computes GO statistics of a list of genes selected from a microarray. * GOstat Display - You can store results from a previously run and view them here, either by uploading them as a file or putting them on a selected URL. * Upload Custom GO Annotations - This allows you to upload your own GO annotation database and use it with GOstat. Variants of GOstat: * Rank GOstat - Takes input from all genes on microarray instead of using a fixed cutoff and uses ranks using a Wilcoxon test or either ranks or pvalues to score GOs using Kolmogorov-Smirnov statistics. * Gene Abundance GOstats - Takes input from all genes on microarray and sums up the gene abundances for each GO to compute statistics. * Two list GOstat - Compares GO statistics in two independent lists of genes, not necessarily one of them being the complete list the other list is sampled from. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, gene ontology, annotation, statistical analysis, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Walter and Eliza Hall Institute of Medical Research; Victoria; Australia |
DFG | PMID:14962934 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30625 | SCR_008535 | 2026-02-14 02:06:35 | 159 | ||||||
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gsGator Resource Report Resource Website |
gsGator (RRID:SCR_012035) | gsGator | data analysis service, production service resource, service resource, analysis service resource | A web-based platform for functional interpretation of gene sets with features such as cross-species Gene Set Analysis (GSA), Flexible and Interactive GSA, simultaneous GSA for multiple gene set, and and a fully integrated network viewer for both visualizing GSA results and molecular networks. | linux, windows, gene, orthology, pathway, phenotype, mirna target, molecular network, genomic annotation, function |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Ewha Womans University; Seoul; South Korea |
PMID:24423189 | Free, Public | OMICS_02233 | SCR_012035 | 2026-02-14 02:06:40 | 0 | |||||||
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OncoboxPD Resource Report Resource Website 1+ mentions |
OncoboxPD (RRID:SCR_023723) | data or information resource, database | Structured curated collection of protein based and of metabolic human molecular pathways. Human molecular pathways database with tools for activity calculating and visualization.All pathways are functionally classified according to GO terms enrichment patterns. All pathway participants, their interactions and reactions are uniformly processed and annotated, and are ready for numeric analysis of experimental expression data.For every comparison graph is generated summarizing top up and down regulated pathways. | Gene Ontology terms enrichment patterns, human molecular pathways, curated collection, GO terms enrichment patterns, experimental expression data analysis, |
is related to: oncoboxlib is related to: Gene Ontology |
Russian Science Foundation ; National Natural Science Foundation of China ; Qingdao Key Research Project ; Qingdao Key Health Discipline Development Fund |
PMID:35615022 | Free, Freely available | SCR_023723 | Oncobox Pathway Databank | 2026-02-14 02:06:35 | 3 | |||||||
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Honey Bee Brain EST Project Resource Report Resource Website 1+ mentions |
Honey Bee Brain EST Project (RRID:SCR_002389) | Bee-ESTdb | biomaterial supply resource, material resource | A database integrating data from the bee brain EST sequencing project with data from sequencing and gene research projects from other organisms, primarily the fruit fly Drosophila melanogaster. The goal of Bee-ESTdb is to provide updated information on the genes of the honey bee, currently using annotation primarily from flies to suggest cellular roles, biological functions, and evolutionary relationships. The site allows searches by sequence ID, EST annotations, Gene Ontology terms, Contig ID and using BLAST. Very nice resource for those interested in comparative genomics of brain. A normalized unidirectional cDNA library was made in the laboratory of Prof. Bento Soares, University of Iowa. The library was subsequently subtracted. Over 20,000 cDNA clones were partially sequenced from the normalized and subtracted libraries at the Keck Center, resulting in 15,311 vector-trimmed, high-quality, sequences with an average read length of 494 bp. and average base-quality of 41. These sequences were assembled into 8966 putatively unique sequences, which were tested for similarity to sequences in the public databases with a variety of BLAST searches. The Clemson University Genomics Institute is the distributor of these public domain cDNA clones. For information on how to purchase an individual clone or the entire collection, please contact www.genome.clemson.edu/orders/ or generobi (at) life.uiuc.edu. | expressed sequence tag, brain, behavior, cdna, blast, gene, annotation, microarray, gene expression, comparative genomics, cdna clone, resource:genbank |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: Gene Ontology has parent organization: University of Illinois at Urbana-Champaign; Illinois; USA |
NSF ; University of Illinois Critical Research Initiatives Program ; Burroughs Wellcome Fund |
PMID:11932240 | Free | nif-0000-00118 | SCR_002389 | Honeybee EST Project | 2026-02-14 02:06:41 | 5 | |||||
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ECO Resource Report Resource Website 10+ mentions |
ECO (RRID:SCR_002477) | ECO | data or information resource, ontology, controlled vocabulary | A controlled vocabulary that describes types of scientific evidence within the realm of biological research that can arise from laboratory experiments, computational methods, manual literature curation, and other means. Researchers can use these types of evidence to support assertions about research subjects that result from scientific research, such as scientific conclusions, gene annotations, or other statements of fact. ECO comprises two high-level classes, evidence and assertion method, where evidence is defined as a type of information that is used to support an assertion, and assertion method is defined as a means by which a statement is made about an entity. Together evidence and assertion method can be combined to describe both the support for an assertion and whether that assertion was made by a human being or a computer. However, ECO can not be used to make the assertion itself; for that, one would use another ontology, free text description, or other means. ECO was originally created around the year 2000 to support gene product annotation by the Gene Ontology. Today ECO is used by many groups concerned with provenance in scientific research. ECO is used in AmiGO 2 | evidence, assertion, assertion method, gene product, obo, evidence code, experiment, similarity, provenance |
is listed by: BioPortal is related to: AmiGO is related to: Gene Ontology has parent organization: University of Maryland School of Medicine; Maryland; USA has parent organization: Google Code |
NIGMS GM089636 | Free, Available for download, Freely available | nlx_155860 | http://code.google.com/p/evidenceontology/ http://bioportal.bioontology.org/ontologies/ECO |
SCR_002477 | Evidence Codes Ontology, Evidence Ontology, evidenceontology, The Evidence Ontology | 2026-02-14 02:05:01 | 19 | |||||
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Cerebellar Development Transcriptome Database Resource Report Resource Website 1+ mentions |
Cerebellar Development Transcriptome Database (RRID:SCR_013096) | CDT-DB | data or information resource, atlas, database | Transcriptomic information (spatiotemporal gene expression profile data) on the postnatal cerebellar development of mice (C57B/6J & ICR). It is a tool for mining cerebellar genes and gene expression, and provides a portal to relevant bioinformatics links. The mouse cerebellar circuit develops through a series of cellular and morphological events, including neuronal proliferation and migration, axonogenesis, dendritogenesis, and synaptogenesis, all within three weeks after birth, and each event is controlled by a specific gene group whose expression profile must be encoded in the genome. To elucidate the genetic basis of cerebellar circuit development, CDT-DB analyzes spatiotemporal gene expression by using in situ hybridization (ISH) for cellular resolution and by using fluorescence differential display and microarrays (GeneChip) for developmental time series resolution. The CDT-DB not only provides a cross-search function for large amounts of experimental data (ISH brain images, GeneChip graph, RT-PCR gel images), but also includes a portal function by which all registered genes have been provided with hyperlinks to websites of many relevant bioinformatics regarding gene ontology, genome, proteins, pathways, cell functions, and publications. Thus, the CDT-DB is a useful tool for mining potentially important genes based on characteristic expression profiles in particular cell types or during a particular time window in developing mouse brains. | gene expression, fluorescence, function, gene, gene chip, genome, bioinformatics, brain, cell, cerebellum, development, in situ hybridization, fluroescence differential display, cerebellar development, microarray, mining, mouse, mrna, ontology, pathway, protein, rt-pcr, molecular neuroanatomy resource, transcriptiome, spatiotemporal, cdna microarray, genechip, postnatal, histochemistry, image, postnatal development |
is related to: Gene Ontology is related to: RIKEN integrated database of mammals has parent organization: RIKEN Brain Science Institute |
Brain development, Brain disorder | INCF Japan Node ; Japan Society for the Promotion of Science ; Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Japan Science and Technology Agency |
PMID:18603407 | To be used for research and educational purposes only. Any reproduction or use for commercial purposes is prohibited without the prior express written permission of the RIKEN. | nif-0000-00008 | SCR_013096 | 2026-02-14 02:06:17 | 1 |
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