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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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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 | 2026-09-19 12:51:20 | 34 | |||||
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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) | 2026-09-19 12:51:46 | 8 | |||||
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SCPD - Saccharomyces cerevisiae promoter database Resource Report Resource Website 10+ mentions |
SCPD - Saccharomyces cerevisiae promoter database (RRID:SCR_004412) | SCPD | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | A promoter database of Saccharomyces cerevisiae. Users can explore the promoter regions of ~6000 genes and ORFs in yeast genome, annotate putative regulatory sites of all genes and ORFs, locate intergenic regions, and retrieve sequence of the promoter region. In regards to regulatory elements and transcription factors, users can provide information on transcriptionally related genes, browse matrix and consensus sequences, view the correlation between elements, observe binding affinity and expression, and look at genomewise distribution. SCPD also provides some simple but useful tools for promoter sequence analysis. Gene, consensus and matrix records may be submitted. | promoter, gene, genome, orf, transcription factor binding site, transcriptional start site, transcription factor |
is listed by: OMICtools has parent organization: Cold Spring Harbor Laboratory |
PMID:10487868 | OMICS_01867, nif-0000-03445 | SCR_004412 | SCPD - The Promoter Database of Saccharomyces cerevisiae | 2026-09-19 12:50:37 | 20 | |||||||
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MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation Resource Report Resource Website 10+ mentions |
MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation (RRID:SCR_003077) | MAPPER, MAPPER 2, | data or information resource, database, service resource | A platform composed of three modules: the Database, the Search Engine, and rSNPs, for the computational identification of transcription factor binding sites (TFBSs) in multiple genomes, that combines TRANSFAC and JASPAR data with the search power of profile hidden Markov models (HMMs). The Database contains putative TFBSs found in the upstream sequences of genes from the human, mouse and D.melanogaster genomes. For each gene, they scanned the region from 10,000 base pairs upstream of the transcript start to 50 base pairs downstream of the coding sequence start against all their models. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs. The Search Engine allows the identification, visualization and selection of putative TFBSs occurring in the promoter or other regions of a gene from the human, mouse, D.melanogaster, C.elegans or S.cerevisiae genomes. In addition, it allows the user to upload a sequence to query and to build a model by supplying a multiple sequence alignment of binding sites for a transcription factor of interest. rSNPs MAPPER is designed to identify Single Nucleotide Polymorphisms (SNPs) that may have an effect on the presence of one or more TFBSs. | transcription factor binding site, gene promoter, intron, non-coding exon, transcription factor, chromosome, gene, homolog, rsnp, single nucleotide polymorphism, search engine |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA is parent organization of: rSNPs MAPPER |
PMID:15608292 PMID:15799782 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01877, nif-0000-03101 | http://bio.chip.org/mapper | SCR_003077 | Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER 2 - Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER database | 2026-09-19 12:56:38 | 11 | |||||
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ResponseNet Resource Report Resource Website 1+ mentions |
ResponseNet (RRID:SCR_003176) | ResponseNet | analysis service resource, data analysis service, production service resource, service resource | WebServer that identifies high-probability signaling and regulatory paths that connect input data sets. The input includes two weighted lists of condition-related proteins and genes, such as a set of disease-associated proteins and a set of differentially expressed disease genes, and a molecular interaction network (i.e., interactome). The output is a sparse, high-probability interactome sub-network connecting the two sets that is biased toward signaling pathways. This sub-network exposes additional proteins that are potentially involved in the studied condition and their likely modes of action. Computationally, it is formulated as a minimum-cost flow optimization problem that is solved using linear programming. | interactome, gene, protein, signaling pathway, signaling, regulatory, pathway, regulatory pathway, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Ben-Gurion University of the Negev; Beer-Sheva; Israel |
PMID:23761447 PMID:21576238 |
Free, Freely available | biotools:responsenet, OMICS_01562 | https://bio.tools/responsenet | http://netbio.bgu.ac.il/respnet/ | SCR_003176 | 2026-09-19 12:56:39 | 4 | |||||
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FIDEA Resource Report Resource Website 1+ mentions |
FIDEA (RRID:SCR_004187) | FIDEA | analysis service resource, data analysis service, production service resource, service resource | A web server for the functional interpretation of differential expression analysis. It can: * Calculate overrepresentation statistics using KEGG, Interpro, Gene Ontology Molecular Function, Gene Ontology Biological Process, Gene Ontology Cellular Component and GoSlim classifications; * Analyze down-regulated and up-regulated DE genes separately or together as a single set; * Provide interactive graphs and tables that can be modified on the fly according to user defined parameters; the user can set a fold change filter and interactively see the effects on the gene set under examination; * Output publication-ready plot of the graph; * Compare the results of several experiments in any combination. |
is listed by: OMICtools has parent organization: Sapienza University of Rome; Rome; Italy |
PMID:23754850 | Public, Free, Acknowledgement requested | OMICS_01539 | SCR_004187 | Functional Interpretation of Differential Expression Analysis | 2026-09-19 12:56:42 | 9 | |||||||
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YMDB - Yeast Metabolome Database Resource Report Resource Website 10+ mentions |
YMDB - Yeast Metabolome Database (RRID:SCR_005890) | YMDB | data or information resource, database | A manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker's yeast and Brewer's yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases. YMDB contains metabolites arising from normal S. cerevisiae metabolism under defined laboratory conditions as well as metabolites generated by S. cerevisiae when used in baking and in the production of wines, beers and spirits. YMDB currently contains 2027 small molecules with 857 associated enzymes and 138 associated transporters. Each small molecule has 48 data fields describing the metabolite, its chemical properties and links to spectral and chemical databases. Each enzyme/transporter is linked to its associated metabolites and has 30 data fields describing both the gene and corresponding protein. Users may search through the YMDB using a variety of database-specific tools. The simple text query supports general text queries of the textual component of the database. By selecting either metabolites or proteins in the search for field it is possible to restrict the search and the returned results to only those data associated with metabolites or with proteins. Clicking on the Browse button generates a tabular synopsis of YMDB's content. This browser view allows users to casually scroll through the database or re-sort its contents. Clicking on a given MetaboCard button brings up the full data content for the corresponding metabolite. A complete explanation of all the YMDB fields and sources is available. Under the Search link users will find a number of search options listed in a pull-down menu. The Chem Query option allows users to draw (using MarvinSketch applet or a ChemSketch applet) or to type (SMILES string) a chemical compound and to search the YMDB for chemicals similar or identical to the query compound. The Advanced Search option supports a more sophisticated text search of the text portion of YMDB. The Sequence Search button allows users to conduct BLASTP (protein) sequence searches of all sequences contained in YMDB. Both single and multiple sequence (i.e. whole proteome) BLAST queries are supported. YMDB also supports a Data Extractor option that allows specific data fields or combinations of data fields to be searched and/or extracted. Spectral searches of YMDB's reference compound NMR and MS spectral data are also supported through its MS, MS/MS, GC/MS and NMR Spectra Search links. Users may download YMDB's complete textual data, chemical structures and sequence data by clicking on the Download button. | small molecule, metabolite, enzyme, transporter, gene, protein, chemical property, reaction, pathway, class, protein, proteome, blastp, nmr, ms spectra, chemical structure | has parent organization: University of Alberta; Alberta; Canada | Canadian Institutes of Health Research | PMID:22064855 | Freely available - Explicit permission / acknowledgment of the source material and original publication is required for commercial purposes. We ask users who download significant portions of the database cite the YMDB paper in any resulting publications. | nlx_151612, r3d100012733 | https://doi.org/10.17616/R3Z51K | SCR_005890 | Yeast Metabolome Database (YMDB), Yeast Metabolome Database | 2026-09-19 12:56:55 | 17 | ||||
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FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | analysis service resource, data analysis service, production service resource, service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate, https://bio.tools/funcassociate | SCR_005768 | 2026-09-19 12:56:53 | 36 | |||||
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Yeast Search for Transcriptional Regulators And Consensus Tracking Resource Report Resource Website 100+ mentions |
Yeast Search for Transcriptional Regulators And Consensus Tracking (RRID:SCR_006076) | YEASTRACT | data or information resource, database | A curated repository of more than 206000 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1300 bibliographic references. It also includes the description of 326 specific DNA binding sites shared among 113 characterized TFs. Further information about each Yeast gene has been extracted from the Saccharomyces Genome Database (SGD). For each gene the associated Gene Ontology (GO) terms and their hierarchy in GO was obtained from the GO consortium. Currently, YEASTRACT maintains a total of 7130 terms from GO. The nucleotide sequences of the promoter and coding regions for Yeast genes were obtained from Regulatory Sequence Analysis Tools (RSAT). All the information in YEASTRACT is updated regularly to match the latest data from SGD, GO consortium, RSA Tools and recent literature on yeast regulatory networks. YEASTRACT includes DISCOVERER, a set of tools that can be used to identify complex motifs found to be over-represented in the promoter regions of co-regulated genes. DISCOVERER is based on the MUSA algorithm. These algorithms take as input a list of genes and identify over-represented motifs, which can then be compared with transcription factor binding sites described in the YEASTRACT database. | yeast, gene, regulatory association, transcription factor, target gene, genomic, transcription regulation, transcription, web service, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SGD is related to: Gene Ontology is related to: Regulatory Sequence Analysis Tools |
Fundacao para a Ciencia e a Tecnologia contract Pest-OE/EQB/LA0023/2011_research line: Systems and Synthetic Biology; Fundacao para a Ciencia e a Tecnologia ERA-IB/0002/2010; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-EIA/111239/2009; Fundacao para a Ciencia e a Tecnologia PTDC/EIA-CCO/118522/2010 |
PMID:24170807 PMID:20972212 PMID:18032429 PMID:16381908 |
Free | nif-0000-03652, OMICS_00547, biotools:yeastract | https://bio.tools/yeastract | SCR_006076 | 2026-09-19 12:56:55 | 130 | |||||
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ADGO Resource Report Resource Website 1+ mentions |
ADGO (RRID:SCR_006343) | ADGO | analysis service resource, data analysis service, production service resource, service resource | A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets. | microarray, gene, annotation, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:21624890 | Acknowledgement requested | OMICS_02229, biotools:adgo | https://bio.tools/adgo | SCR_006343 | 2026-09-19 12:56:57 | 3 | ||||||
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Yeast Intron Database Resource Report Resource Website 1+ mentions |
Yeast Intron Database (RRID:SCR_007144) | Yeast Intron Database | data or information resource, database | Database of information about the spliceosomal introns of the yeast Saccharomyces cerevisiae. Listed are known spliceosomal introns in the yeast genome and the splice sites actually used are documented. Through the use of microarrays designed to monitor splicing, they are beginning to identify and analyze splice site context in terms of the nature and activities of the trans-acting factors that mediate splice site recognition. In version 3.0, expression data that relates to the efficiency of splicing relative to other processes in strains of yeast lacking nonessential splicing factors is included. These data are displayed on each intron page for browsing and can be downloaded for other types of analysis. | intron, spliceosomal, splicing, genome, intron splice signal, sequence, splice site |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
W. M. Keck Foundation ; Packard Foundation ; NIH |
PMID:11988574 | The community can contribute to this resource | nif-0000-03649, OMICS_01890 | http://www.cse.ucsc.edu/research/compbio/yeast_introns.html | SCR_007144 | Ares lab Yeast Intron Database | 2026-09-19 12:57:02 | 2 | ||||
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FunSpec Resource Report Resource Website 50+ mentions |
FunSpec (RRID:SCR_006952) | FunSpec | analysis service resource, data analysis service, production service resource, service resource | FunSpec is a web-based tool for statistical evaluation of groups of genes and proteins (e.g. co-regulated genes, protein complexes, genetic interactors) with respect to existing annotations, including GO terms. FunSpec (an acronym for Functional Specification) inputs a list of yeast gene names, and outputs a summary of functional classes, cellular localizations, protein complexes, etc. that are enriched in the list. The classes and categories evaluated were downloaded from the MIPS Database and the GO Database . In addition, many published datasets have been compiled to evaluate enrichment against. Hypertext links to the publications are given. The p-values, calculated using the hypergeometric distribution, represent the probability that the intersection of given list with any given functional category occurs by chance. The Bonferroni-correction divides the p-value threshold, that would be deemed significant for an individual test, by the number of tests conducted and thus accounts for spurious significance due to multiple testing over the categories of a database. After the Bonferroni correction, only those categories are displayed for which the chance probability of enrichment is lower than: p-value/#CD where #CD is the number of categories in the selected database. Without the Bonferroni Correction, all categories are displayed for which the same probability of enrichment is lower than: p-value threshold in an individual test Note that many genes are contained in many categories, especially in the MIPS database (which are hierarchical) and that this can create biases for which FunSpec currently makes no compensation. Also the databases are treated as independent from one another, which is really not the case, and each is searched seperately, which may not be optimal for statistical calculations. Nonetheless, we find it useful for sifting through the results of clustering analysis, TAP pulldowns, etc. Platform: Online tool | gene, protein, annotation, gene ontology, gene expression, clustering, prediction, statistical analysis, functional class, cellular localization, protein complex, yeast, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: CYGD - Comprehensive Yeast Genome Database has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; CIHR ; University of Toronto Connaught Foundation |
PMID:12431279 | nlx_149246 | SCR_006952 | Functional Specification | 2026-09-19 12:57:01 | 91 | ||||||
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Smart Dictionary Lookup Resource Report Resource Website |
Smart Dictionary Lookup (RRID:SCR_000568) | Smart Dictionary Lookup | data or information resource, database, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9, 2022. System that retrieves relevant UniProt IDs from BioThesaurus entries using a soft string matching algorithm. | gene, protein |
uses: UniProt uses: BioThesaurus is listed by: OMICtools has parent organization: University of Manchester; Manchester; United Kingdom |
PMID:17698493 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01198 | SCR_000568 | 2026-09-19 12:56:26 | 0 | |||||||
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MitoMiner Resource Report Resource Website 50+ mentions |
MitoMiner (RRID:SCR_001368) | data or information resource, database | A database of mitochondrial proteomics data. It includes two sets of proteins: the MitoMiner Reference Set, which has 10477 proteins from 12 species; and MitoCarta, which has 2909 proteins from mouse and human mitochondrial proteins. MitoMiner provides annotation from the Gene Ontology (GO) and UniProt databases. This reference set contains all proteins that are annotated by either of these resources as mitochondrial in any of the species included in MitoMiner. MitoMiner data via is available via Application Programming Interface (API). The client libraries are provided in Perl, Python, Ruby and Java. | mitochondrion, proteomics, function, homolog, proteome, protein expression, mass-spectrometry, protein, metabolism, green fluorescent protein tag, ortholog, FASEB list |
uses: HomoloGene uses: UniProt uses: KEGG uses: OMIM uses: The Human Protein Atlas uses: Gene Ontology |
MRC | PMID:22121219 PMID:19208617 |
Public, Acknowledgement requested, Code: | nlx_152504 | SCR_001368 | MitoMiner - A database of the mitochondrial proteome | 2026-09-19 12:56:30 | 78 | ||||||
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Spliceosome Database Resource Report Resource Website 10+ mentions |
Spliceosome Database (RRID:SCR_002097) | Spliceosome Database | data or information resource, database | A database of proteins and RNAs that have been identified in various purified splicing complexes. Various names, orthologs and gene identifiers of spliceosome proteins have been cataloged to navigate the complex nomenclature of spliceosome proteins. Links to gene and protein records are also provided for the spliceosome components in other databases. To navigate spliceosome assembly dynamics, tools were created to compare the association of spliceosome proteins with complexes that form at specific stages of spliceosome assembly based on a compendium of mass spectrometry experiments that identified proteins in purified splicing complexes. | splicing, mass spectrometry, protein, rna, complex, spliceosome, small nuclear rna, structure, dynamics, ortholog, gene |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
PMID:23118483 | Free, Freely available | OMICS_01891 | SCR_002097 | Spliceosome Database - A source of information for the SLPICEOSOME: The large ribonucleoprotein complex responsible for pre-mRNA splicing, Spliceosome Component Database | 2026-09-19 12:56:33 | 15 | ||||||
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GermOnline Resource Report Resource Website 10+ mentions |
GermOnline (RRID:SCR_002807) | GermOnline | data or information resource, database | Cross-species microarray expression database focusing on high-throughput expression data relevant for germline development, meiosis and gametogenesis as well as the mitotic cell cycle. The database contains a unique combination of information: 1) High-throughput expression data obtained with whole-genome high-density oligonucleotide microarrays (GeneChips). 2) Sample annotation (mouse over the sample name and click on it) using the Multiomics Information Management and Annotation System (MIMAS 3.0). 3) In vivo protein-DNA binding data and protein-protein interaction data (available for selected species). 4) Genome annotation information from Ensembl version 50. 5) Orthologs are identified using data from Ensembl and OMA and linked to each other via a section in the report pages. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome. The database displays only expression data obtained with high-density oligonucleotide microarrays (GeneChips)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | fertility, development, germline, microarray, annotation, in vivo, protein-dna binding, protein-protein interaction, genome, ortholog, high-density oligonucleotide microarray, gene expression, genome annotation, gene orthology, genechip, tiling array, development, meiosis, gametogenesis, mitotic cell cycle, data set, data repository, bio.tools |
is listed by: 3DVC is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: OMA Browser has parent organization: National Institute of Health and Medical Research; Rennes; France |
Swiss Institute of Bioinformatics ; bioinformatics platform of Biogenouest ; National Institute of Health and Medical Research; Rennes; France ; University of Rennes 1; Rennes; France |
PMID:21149299 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:germonline, nif-0000-02906, r3d100010248 | https://bio.tools/germonline, https://doi.org/10.17616/R37K5Q | SCR_002807 | 2026-09-19 12:56:37 | 17 | |||||
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HomoloGene Resource Report Resource Website 100+ mentions |
HomoloGene (RRID:SCR_002924) | HomoloGene | data or information resource, database, service resource | Automated system for constructing putative homology groups from complete gene sets of wide range of eukaryotic species. Databse that provides system for automatic detection of homologs, including paralogs and orthologs, among annotated genes of sequenced eukaryotic genomes. HomoloGene processing uses proteins from input organisms to compare and sequence homologs, mapping back to corresponding DNA sequences. Reports include homology and phenotype information drawn from Online Mendelian Inheritance in Man, Mouse Genome Informatics, Zebrafish Information Network, Saccharomyces Genome Database and FlyBase. | homolog, paralog, ortholog, genome, gene, protein, protein alignment, phenotype, conserved domain, homology, amino acid sequence, cell, dna, gold standard |
is used by: NIF Data Federation is used by: Nowomics is used by: MitoMiner is listed by: OMICtools is listed by: re3data.org is related to: OMIM is related to: Mouse Genome Informatics (MGI) is related to: Zebrafish Information Network (ZFIN) is related to: SGD is related to: FlyBase is related to: ProbeMatchDB 2.0 is related to: Biomine is related to: Consensus CDS has parent organization: NCBI |
PMID:23193264 | Free, Freely availalbe | nif-0000-02975, r3d100010781, OMICS_01544 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=homologene, https://doi.org/10.17616/R3889F | SCR_002924 | NCBI HomoloGene | 2026-09-19 12:56:37 | 459 | |||||
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DOMINO: Domain peptide interactions Resource Report Resource Website 50+ mentions |
DOMINO: Domain peptide interactions (RRID:SCR_002392) | data or information resource, database | Open-access database comprising more than 3900 annotated experiments describing interactions mediated by protein-interaction domains. The curation effort aims at covering the interactions mediated by the following domains (SH3, SH2, 14-3-3, PDZ, PTB, WW, EVH, VHS, FHA, EH, FF, BRCT, Bromo, Chromo, GYF). The interactions deposited in DOMINO are annotated according to the PSI MI standard and can be easily analyzed in the context of the global protein interaction network as downloaded from major interaction databases like MINT, INTACT, DIP, MIPS/MPACT. It can be searched with a versatile search tool and the interaction networks can be visualized with a convenient graphic display applet that explicitly identifies the domains/sites involved in the interactions. | annotation, protein interaction, protein-interaction domain, sh3, sh2, pdz, 14-3-3, ww |
is listed by: OMICtools is related to: PSI-MI has parent organization: University of Rome Tor Vergata; Rome; Italy |
PMID:17135199 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01907, nif-0000-02759, r3d100010684 | https://doi.org/10.17616/R3K32V | SCR_002392 | DOMINO | 2026-09-19 12:56:35 | 53 | ||||||
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HINT Resource Report Resource Website 100+ mentions |
HINT (RRID:SCR_002762) | HINT | data or information resource, database | A database of high-quality protein-protein interactions in different organisms. | protein-protein interaction, bio.tools, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Cornell University; New York; USA |
PMID:22846459 | Free, Freely available, Available for download | OMICS_02898, biotools:hint | https://bio.tools/hint | SCR_002762 | High-quality INTeractomes | 2026-09-19 12:56:37 | 316 | |||||
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BaCelLo Resource Report Resource Website 10+ mentions |
BaCelLo (RRID:SCR_011965) | BaCelLo | analysis service resource, data analysis service, production service resource, service resource | A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable. | protein, data set, proteome |
is listed by: OMICtools is listed by: SoftCite has parent organization: University of Bologna; Bologna; Italy |
PMID:16873501 | OMICS_01616 | SCR_011965 | 2026-09-19 12:57:26 | 46 |
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Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.