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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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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 | 2026-02-11 10:56:23 | 11 | ||||||
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DOMINO: Domain peptide interactions Resource Report Resource Website 10+ 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 | 2026-02-11 10:56:27 | 49 | ||||||
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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 | 2026-02-11 10:56:35 | 17 | |||||
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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 | 2026-02-11 10:56:32 | 306 | |||||
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InteroPorc Resource Report Resource Website 1+ mentions |
InteroPorc (RRID:SCR_002067) | InteroPorc | data processing software, data analysis service, analysis service resource, data or information resource, production service resource, data analysis software, service resource, source code, software application, software resource, database | Automatic prediction tool to infer protein-protein interaction networks, it is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8. Users can use this page to ask InteroPorc for all species present in Integr8. Some results are already computed and users can run InteroPorc to investigate any other species. Currently, the following databases are processed and merged (with datetime of the last available public release for each database used): IntAct, MINT, DIP, and Integr8. | orthology, prediction, protein interaction, tool, sequenced genome, proteinprotein interaction, inferred interaction, molecular interaction, interaction, protein, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Integr8 : Access to complete genomes and proteomes is related to: IntAct is related to: MINT is related to: Database of Interacting Proteins (DIP) is related to: PSICQUIC Registry has parent organization: CEA; Gif sur Yvette; France |
European Union FELICS 021902 RII3; Marie Curie Fellowship ; French National Agency of Research ANR Biosys06_134823 SULFIRHOM; French Atomic Energy Commission |
PMID:18508856 | Open unspecified license, Acknowledgement requested | nif-0000-20816, biotools:interoporc | https://bio.tools/interoporc | SCR_002067 | InteroPorc: Automatic molecular interaction predictions, Automatic molecular interaction predictions | 2026-02-13 10:54:58 | 6 | ||||
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Cscan Resource Report Resource Website 1+ mentions |
Cscan (RRID:SCR_006756) | Cscan | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Data resource that includes a large collection of genome-wide ChIP-Seq experiments performed on transcription factors (TFs), histone modifications, RNA polymerases and others. Enriched peak regions from the ChIP-Seq experiments are crossed with the genomic coordinates of a set of input genes, to identify which of the experiments present a statistically significant number of peaks within the input genes' loci. The input can be a cluster of co-expressed genes, or any other set of genes sharing a common regulatory profile. Users can thus single out which TFs are likely to be common regulators of the genes, and their respective correlations. Also, by examining results on promoter activation, transcription, histone modifications, polymerase binding and so on, users can investigate the effect of the TFs (activation or repression of transcription) as well as of the cell or tissue specificity of the genes' regulation and expression. | regulator, gene, genome-wide chip-seq, chip-seq, gene, genome | is listed by: OMICtools | PMID:22669907 | Free | OMICS_00529 | SCR_006756 | 2026-02-13 10:55:55 | 4 | |||||||
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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, software resource, data processing software, software application | 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) | 2026-02-13 10:56:16 | 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 | data repository, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | 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 | 2026-02-13 10:55:25 | 20 | |||||||
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PhenoM - Phenomics of yeast Mutants Resource Report Resource Website |
PhenoM - Phenomics of yeast Mutants (RRID:SCR_006970) | PhenoM | data analysis service, image collection, analysis service resource, data or information resource, production service resource, service resource, database | Database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae, it allows storing, retrieving, visualizing and data mining the quantitative single-cell measurements extracted from micrographs of the temperature-sensitive (ts) mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations. About one-fifth of the genes in the budding yeast are essential for haploid viability and cannot be functionally assessed using standard genetic approaches such as gene deletion. To facilitate genetic analysis of essential genes, we and others have assembled collections of yeast strains expressing temperature-sensitive (ts) alleles of essential genes. To explore the phenotypes caused by essential gene mutation we used a panel of genetically engineered fluorescent markers to explore the morphology of cells in the ts strain collection using high-throughput microscopy. The database contains quantitative measurements of 1,909,914 cells and 78,194 morphological images for 775 temperature-sensitive mutants spanning 491 different essential genes in permissive temperature (26* C) and restrictive temperature (32* C). The morphological images were generated by high-content screening (HCS) technology. | phenomics, phenotype, yeast, mutant, cell, morphology, essential gene, gene, high-content screening, microscopy, micrograph, mutant cell, temperature-sensitive allele, allele, genetic analysis, blast, mutation, orf, actin, dna damage, nucleus, mitochondria, plasma membrane, mitotic spindle, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Research Fund ; Fudan University - University of Toronto Exchange Scholarship ; Canadian Institutes of Health Research GMX-201237; Canadian Institutes of Health Research GMX-211012; Canadian Foundation for Innovation LEF-21475 |
PMID:22009677 | Free | nlx_151489, biotools:phenom, r3d100012722 | https://bio.tools/phenom https://doi.org/10.17616/R3GJ5J |
SCR_006970 | Phenomics of yeast Mutants, Phenomics of yeast Mutants (PhenoM) | 2026-02-13 10:55:55 | 0 | ||||
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YeTFaSCo Resource Report Resource Website 10+ mentions |
YeTFaSCo (RRID:SCR_006893) | YeTFaSCo | data repository, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | 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 | 2026-02-13 10:55:56 | 34 | |||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | data repository, storage service resource, image collection, d spatial image, data or information resource, service resource, database | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-02-13 10:56:04 | 7 | |||||
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Yeast snoRNA Database Resource Report Resource Website 1+ mentions |
Yeast snoRNA Database (RRID:SCR_007980) | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | A database of S. cerevisiae H/ACA and C/D box snoRNAs, useful for research on rRNA nucleotide modifications in the ribosome, especially those created by small nucleolar RNA:protein complexes (snoRNPs). The interactive service enables a user to visualize the positions of pseudouridines, 2'-O-methylations, and base methylations in three-dimensional space in the ribosome and also in linear and secondary structure formats of ribosomal RNA. The tools provide additional perspective on where the modifications occur relative to functional regions within the rRNA and relative to other nearby modifications. This package of tools is presented as a major enhancement of an existing but significantly upgraded yeast snoRNA database. The other key features of the enhanced database include details of the base pairing of snoRNAs with target RNAs, genomic organization of the yeast snoRNA genes, and information on corresponding snoRNAs and modifications in other model organisms. | saccharomyces cerevisiae |
is related to: 3D Ribosomal Modification Maps Database has parent organization: University of Massachusetts Amherst; Massachusetts; USA |
U.S. Public Health Service ; NIGMS GM19351 |
PMID:17283215 | nif-0000-03651 | http://www.bio.umass.edu/biochem/rna-sequence/Yeast_snoRNA_Database/snoRNA_DataBase.html | SCR_007980 | Yeast snoRNA Database at UMass-Amherst | 2026-02-13 10:56:05 | 1 | ||||||
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GeneCodis Resource Report Resource Website 100+ mentions |
GeneCodis (RRID:SCR_006943) | GeneCodis | web service, data analysis service, analysis service resource, production service resource, service resource, data access protocol, software resource | Web-based tool for the ontological analysis of large lists of genes. It can be used to determine biological annotations or combinations of annotations that are significantly associated to a list of genes under study with respect to a reference list. As well as single annotations, this tool allows users to simultaneously evaluate annotations from different sources, for example Biological Process and Cellular Component categories of Gene Ontology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | functional analysis, gene, annotation, statistical analysis, functional genomics, 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 is related to: KEGG has parent organization: Spanish National Research Council; Madrid; Spain |
Juan de la Cierva research program ; Spanish Minister of Science and Innovation BIO2010-17527; Government of Madrid P2010/BMD-2305 |
PMID:22573175 PMID:19465387 PMID:17204154 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02221, biotools:genecodis3, nlx_149254 | https://bio.tools/genecodis3 | SCR_006943 | Gene annotations co-ocurrence discovery, GeneCodis - Gene annotations co-ocurrence discovery | 2026-02-13 10:55:58 | 348 | ||||
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GeneMerge Resource Report Resource Website 10+ mentions |
GeneMerge (RRID:SCR_005744) | GeneMerge | data analysis service, analysis service resource, production service resource, service resource, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Web-based and standalone application that returns a wide range of functional genomic data for a given set of study genes and provides rank scores for over-representation of particular functions or categories in the data. It uses the hypergeometric test statistic which returns statistically correct results for samples of all sizes and is the #2 fastest GO tool available (Khatri and Draghici, 2005). GeneMerge can be used with any discrete, locus-based annotation data, including, literature references, genetic interactions, mutant phenotypes as well as traditional Gene Ontology queries. GeneMerge is particularly useful for the analysis of microarray data and other large biological datasets. The big advantage of GeneMerge over other similar programs is that you are not limited to analyzing your data from the perspective of a pre-packaged set of gene-association data. You can download or create gene-association files to analyze your data from an unlimited number of perspectives. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, genomics, functional genomic data, analysis, post-genomic analysis, data mining, hypothesis testing, statistical analysis, slimmer-type tool, term enrichment, text mining, false discovery rate, bonferroni correction, false discovery rate and bonferroni correction, perl, microarray |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Harvard University; Cambridge; United States |
PMID:12724301 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149203 | http://genemerge.cbcb.umd.edu/ | SCR_005744 | 2026-02-13 10:55:41 | 26 | ||||||
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Synapse Resource Report Resource Website 1000+ mentions |
Synapse (RRID:SCR_006307) | Synapse | data repository, storage service resource, data or information resource, service resource, database | A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data. | data sharing, collaboration, data management, analysis, genome, phenotype, crowd sourcing, open data, provenance, resource management, annotation, authoring, markup, r, python, java, command-line, cloud, FASEB list |
is used by: NF Data Portal is listed by: FORCE11 is listed by: DataCite is listed by: re3data.org is related to: clearScience is related to: Exemplar Microscopy Images of Tissues has parent organization: Sage Bionetworks |
Cancer, Normal, Cardiovascular disease, Floppy hat syndrome | Life Sciences Discovery Fund ; NCI ; NHLBI ; Alfred P. Sloan Foundation |
The community can contribute to this resource | nlx_151983, DOI:10.17616/R3B934, r3d100011894, DOI:10.7303 | https://doi.org/10.17616/R3B934 https://doi.org/10.48550/arxiv.1506.00272 https://doi.org/10.7303/ https://dx.doi.org/10.7303 https://doi.org/10.17616/R3B934 |
SCR_006307 | 2026-02-13 10:55:48 | 1002 | |||||
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FIDEA Resource Report Resource Website 1+ mentions |
FIDEA (RRID:SCR_004187) | FIDEA | data analysis service, production service resource, service resource, analysis 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 | 2026-02-13 10:55:22 | 9 | |||||||
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FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | data analysis service, production service resource, service resource, analysis 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 | 2026-02-13 10:55:41 | 36 | |||||
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ADGO Resource Report Resource Website 1+ mentions |
ADGO (RRID:SCR_006343) | ADGO | data analysis service, production service resource, service resource, analysis 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 | 2026-02-13 10:55:50 | 3 | ||||||
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FunSpec Resource Report Resource Website 50+ mentions |
FunSpec (RRID:SCR_006952) | FunSpec | data analysis service, production service resource, service resource, analysis service resource | FunSpec is a web-based tool for statistical evaluation of groups of genes and proteins (e.g. co-regulated genes, protein complexes, genetic interactors) with respect to existing annotations, including GO terms. FunSpec (an acronym for Functional Specification) inputs a list of yeast gene names, and outputs a summary of functional classes, cellular localizations, protein complexes, etc. that are enriched in the list. The classes and categories evaluated were downloaded from the MIPS Database and the GO Database . In addition, many published datasets have been compiled to evaluate enrichment against. Hypertext links to the publications are given. The p-values, calculated using the hypergeometric distribution, represent the probability that the intersection of given list with any given functional category occurs by chance. The Bonferroni-correction divides the p-value threshold, that would be deemed significant for an individual test, by the number of tests conducted and thus accounts for spurious significance due to multiple testing over the categories of a database. After the Bonferroni correction, only those categories are displayed for which the chance probability of enrichment is lower than: p-value/#CD where #CD is the number of categories in the selected database. Without the Bonferroni Correction, all categories are displayed for which the same probability of enrichment is lower than: p-value threshold in an individual test Note that many genes are contained in many categories, especially in the MIPS database (which are hierarchical) and that this can create biases for which FunSpec currently makes no compensation. Also the databases are treated as independent from one another, which is really not the case, and each is searched seperately, which may not be optimal for statistical calculations. Nonetheless, we find it useful for sifting through the results of clustering analysis, TAP pulldowns, etc. Platform: Online tool | gene, protein, annotation, gene ontology, gene expression, clustering, prediction, statistical analysis, functional class, cellular localization, protein complex, yeast, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: CYGD - Comprehensive Yeast Genome Database has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; CIHR ; University of Toronto Connaught Foundation |
PMID:12431279 | nlx_149246 | SCR_006952 | Functional Specification | 2026-02-13 10:55:58 | 87 | ||||||
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Saccharomyces Genome Deletion Project Resource Report Resource Website 10+ mentions |
Saccharomyces Genome Deletion Project (RRID:SCR_014961) | data or information resource, portal, database, project portal | Database and project to reveal open reading frames (ORFs) in the yeast genome in order to discover their functions. A PCR-based gene deletion strategy is used to assign functions through phenotypic analysis of mutants. | yeast, open reading frames, ORF, genome, deletion, Saccharomyces cerevisiae | Free | SCR_014961 | 2026-02-13 10:57:23 | 18 |
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