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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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repairGenes Resource Report Resource Website 1+ mentions |
repairGenes (RRID:SCR_008240) | topical portal, portal, data or information resource | The aim of the repairGenes site is to be a source of information about DNA repair genes and a useful resource for research on DNA repair. At the moment, the site contains information about a number of DNA repair genes from a set of selected species. The information is organized by organism and by biological process term as defined by the Gene Ontology (GO) project. The coverage of DNA repair genes is not complete, but hopefully it satisfies to demonstrate the concept and generate ideas for future versions of the system. At present, the raw data about DNA repair genes is extracted from the SWISS-PROT database, and categorized using the GO system. SWISS-PROT entries are being annotated by the Gene Ontology Annotation project at EBI. GOA is an ongoing project which will become more complete with time. As more data is released, this will be fed into repairGenes to keep it up-to-date. In future versions, the user will be able to search freely among organisms and categories of repair genes, enabling easy comparisons between species. For a taste of this, please have a look at the overview of repair genes from five major organisms. The amount of information in the system will be increased and the quality will be improved in the future. So will the features of the system. | gene, gene-, biological, dna, or disease- specific databases, organism, repair, specie, system- | has parent organization: University of Oslo; Oslo; Norway | nif-0000-21359 | SCR_008240 | repairGenes | 2026-08-04 09:42:04 | 1 | |||||||||
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BraInSitu: A homepage for molecular neuroanatomy Resource Report Resource Website 1+ mentions |
BraInSitu: A homepage for molecular neuroanatomy (RRID:SCR_008081) | BraInSitu | experimental protocol, expression atlas, narrative resource, image, atlas, database, data or information resource | Database of detailed protocols for single and double in situ hybridization (ISH) method, probes used by Yamamori lab and others useful for studies of brain, and many photos of mammalian (mostly mouse and monkey) brains stained with various gene probes. Also includes a brain atlas of gene expression. Currently, the atlas comprises a series of un-annotated images showing the localization of a particular probe or molecule, e.g., AChE. | function, gene expression, gene, anatomical structure, brain, central nervous system, cerebral cortex, in situ hybridization, mammalian, neocortex, pcr cloning, probe, molecular neuroanatomy resource, neuroanatomy, in situ hybridization protocol | has parent organization: National Institute for Basic Biology; Okazaki; Japan | nif-0000-11633 | SCR_008081 | 2026-08-04 09:42:05 | 4 | |||||||||
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GoatMap Database Resource Report Resource Website |
GoatMap Database (RRID:SCR_008144) | portal, topical portal, storage service resource, data repository, service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This website contains information about the mapping of the caprine genome. It contains loci list, phenes list, cartography, gene list, and other sequence information about goats. This website contains 731 loci, 271 genes, and 1909 homologue loci on 112 species. It also allows users to summit their own data for Goatmap. ARK-Genomics is not-for-profit and has collaborators from all over the world with an interest in farm animal genomics and genetics. ARK-Genomics was initially set up in 2000 with a grant awarded from the BBSRC IGF (Investigating Gene Function) initiative and from core resources of the Roslin Institute to provide a laboratory for automated analysis of gene expression using state-of-the-art genomic facilities. Since then, ARK-Genomics has expanded considerably, building up considerable expertise and resources. | farm, gene, animal, caprine, cartography, genome, genomic, goat, homologue, locus, map, mapping, phene, sequence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20978 | SCR_008144 | GoatMap | 2026-08-04 09:42:03 | 0 | |||||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | topical portal, portal, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 23, 2016. The Human Papillomaviruses Database collects, curates, analyzes, and publishes genetic sequences of papillomaviruses and related cellular proteins. It includes molecular biologists, sequence analysts, computer technicians, post-docs and graduate research assistants. This Web site has two main branches. The first contains our four annual data books of papillomavirus information, called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. and the second contains papillomavirus genetic sequence data. There is also a New Items location where we store the latest changes to the database or any other current news of interest. Besides the compendium, we also provide genetic sequence information for papilloma viruses and related cellular proteins. Each year they publish a compendium of papillomavirus information called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. which can now be downloaded from this Web site. | gene, genetic, alignment, amino acid, biologist, cellular protein, genome, human, molecular, papilloma, papillomavirus, phylogenetic, sequence, virus | has parent organization: Los Alamos National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21000 | http://www.stdgen.lanl.gov/ | SCR_008154 | HPVSD | 2026-08-04 09:42:03 | 4 | |||||||
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AraCyc Resource Report Resource Website 50+ mentions |
AraCyc (RRID:SCR_008109) | storage service resource, data repository, service resource, database, data or information resource | Curated species-specific database present at the Plant Metabolic Network. It has a large number of experimentally supported enzymes and metabolic pathways, but it also houses a substantial number of computationally predicted enzymes and pathways. | enzyme, gene, arabidopsis thaliana, biochemical, pathway, reaction, metabolism, metabolic pathway, data set, data analysis service, web service, FASEB list |
is used by: Arabidopsis Reactome is listed by: 3DVC has parent organization: Plant Metabolic Network |
NSF | PMID:12805578 PMID:15888675 |
The community can contribute to this resource | nif-0000-20811 | http://www.arabidopsis.org/biocyc/index.jsp, http://www.plantcyc.org | SCR_008109 | Arabidopsis enzymes and biochemical pathways database | 2026-08-04 09:42:05 | 69 | |||||
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Department of Psychiatry, Turner Laboratory Resource Report Resource Website |
Department of Psychiatry, Turner Laboratory (RRID:SCR_008067) | Turner Lab | portal, organization portal, laboratory portal, data or information resource | Dr. Eric Turner''s laboratory studies the mechanisms underlying the development of the nervous system. The vertebrate brain is comprised of a tremendous variety of neurons, each class exhibiting a unique phenotype characterized by the expression of specific neurotransmitter receptors, ion channels, patterns of axonal growth, and synapse formation. The research we conduct focuses on the critical role transcription factors play in the specification of neuronal cell type during development. We are particularly interested in transcription factors of the homeodomain family that bind to DNA and in doing so activate or repress gene expression. One area of study is the role of POU-domain transciption factor Brn3a in axon growth and survival. The primary research areas are: * Neuronal cell fate determination: The expression of regulatory genes is manipulated in living chick embryos using microsurgery and electroporation and the effects on neural marker genes studied. * Molecular mechanisms of gene regulation: Target DNA binding sites of neural transcription factors are biochemically characterized and findings coordinated with sequence data from the mouse and human genomes. * Targeted misexpression of regulatory genes: Transgenic and knockout mouse technology is used to misexpress genes of interest, and the effects on neural marker genes, axonal growth, and cell survival studied. * Global analysis of neural gene expression: Micro-arrays (GeneChips) are employed in conjunction with other areas of study to understand the coordinated regulation of gene expression in the nervous system. Dr. Turner is a member of the University of California, San Diego''s Graduate Program in Neuroscience and Biomedical Sciences Program and accepts students from these two programs. Interesting rotation projects are available using methods ranging from biochemistry and molecular biology to embryology. Additionally, Dr. Turner is also the Director of this NIMH-funded training program for research-oriented psychiatrists, psychologists, and basic neuroscientists working in areas relevant to psychiatry. Typically Fellows spend two years in the program, during which they develop a research project under the close supervision of one of the highly productive members of the UCSD Department of Psychiatry, or another investigator in the La Jolla (UCSD/Salk/Scripps) research community. | electroporation, embryo, embryology, expression, gene, axon, biochemistry, biomedical science, cell, c hick, development, dna, dna binding site, homeodomain, human, knockout technology, microarray, microsurgery, misexpression, molecular biology, molecular mechanism, mouse, nervous system, neural gene, neural marker gene, neural transcription factor, neuronal cell, neuroscience, neuroscientist, psychiatrist, psychologist, regulation, regulatory gene, transcription factor, transgenic technology | has parent organization: University of California at San Diego Department of Psychiatry | nif-0000-10507 | SCR_008067 | UCSD Turner Laboratory, UCSD Psychiatry (Turner''s Lab), Turner Laboratory, Turner Laboratory Developmental Neurobiology Research | 2026-08-04 09:42:02 | 0 | ||||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | data processing software, software application, software resource, data analysis software | Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible | gene, genetic, analysis, annotation, archive, bioinformatic, cancer, genome, genomic, genotype, genotyping, human, human genome databases, maps, polymorphism, position, variation, data set |
is listed by: 3DVC has parent organization: National Cancer Institute |
nif-0000-21173 | SCR_008183 | GeneWindow | 2026-08-04 09:42:03 | 1 | |||||||||
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Augustus Resource Report Resource Website 1000+ mentions |
Augustus (RRID:SCR_008417) | data processing software, data analysis software, software resource, sequence analysis software, software application, web application | Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes. | software, gene, prediction, eucaryotic, genomic, sequence |
is used by: BRAKER is used by: BRO_annotation is listed by: Debian is listed by: OMICtools is listed by: SoftCite works with: Gsnap2Augustus |
Deutsche Forschungsgemeinschaft (DFG) HO4545/1-1;; STA1009/6-1 ; Institute for Mathematics and Computer Science ; Ernst Moritz Arndt University of Greifswald |
PMID:23700307 DOI:10.1093/bioinformatics/btw494 |
Free, Available for download, Freely available | SCR_015981, OMICS_07777, nif-0000-30133 | https://sources.debian.org/src/autodock-vina/ | SCR_008417 | Augustus: Gene Prediction, WebAUGUSTUS, Augustus, Augustus [gene prediction] | 2026-08-04 09:42:08 | 3542 | |||||
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GeneTraffic Resource Report Resource Website 10+ mentions |
GeneTraffic (RRID:SCR_008651) | data processing software, data analysis software, data management software, software resource, software application | GeneTraffic is a web-based microarray data analysis and management software developed by Iobion Informatics that allows users to log onto a server, upload their microarray data and perform analysis and project management remotely. GeneTraffic was made by Iobion Informatics (now under Stratagene) and can be accessed thorough Internet Explorer 6.0 or greater on Windows XP. | gene, data, management, microarray, software | nif-0000-33028 | SCR_008651 | 2026-08-04 09:42:11 | 24 | |||||||||||
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Nature Supplements: Collections archive Resource Report Resource Website |
Nature Supplements: Collections archive (RRID:SCR_008337) | topical portal, portal, narrative resource, data or information resource | This website provides summary collections written for a broad audience highlighting some of the significant advances in a particular field. These are not scientific articles although they may reference scientific work. Sponsors: This resource is supported by Nature.com | drug, energy, gene, gene targeting, aids, animal, biogenesis, cancer, cell, disease, genomics, health, hiv, human immunodeficiency virus, malaria, metagenomics, microrna, mrna, nanotechnology, neuropathic, pain, rnai, rna plant, therapy, vaccine | nif-0000-24926 | SCR_008337 | Nature Collections Supplements | 2026-08-04 09:42:08 | 0 | ||||||||||
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Generic GO Term Finder Resource Report Resource Website 100+ mentions |
Generic GO Term Finder (RRID:SCR_008870) | GOTermFinder, GO-TermFinder, GO Term Finder, GO::TermFinder | data analysis service, data processing software, source code, analysis service resource, software resource, software application, production service resource, service resource | The Generic GO Term Finder finds the significant GO terms shared among a list of genes from an organism, displaying the results in a table and as a graph (showing the terms and their ancestry). The user may optionally provide background information or a custom gene association file or filter evidence codes. This tool is capable of batch processing multiple queries at once. GO::TermFinder comprises a set of object-oriented Perl modules GO::TermFinder can be used on any system on which Perl can be run, either as a command line application, in single or batch mode, or as a web-based CGI script. This implementation, developed at the Lewis-Sigler Institute at Princeton, depends on the GO-TermFinder software written by Gavin Sherlock and Shuai Weng at Stanford University and the GO:View module written by Shuai Weng. It is made publicly available through the GMOD project. The full source code and documentation for GO:TermFinder are freely available from http://search.cpan.org/dist/GO-TermFinder/. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, graph, visualization, genomics, gene association, ontology or annotation visualization, term enrichment, ontology, process, function, component, enrichment, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA has parent organization: Comprehensive Perl Archive Network |
NHGRI 1R01HG002732 | PMID:15297299 | Free for academic use | nlx_149293, biotools_go_term_finder | https://bio.tools/go_term_finder | SCR_008870 | Generic Gene Ontology (GO) Term Finder, Generic Gene Ontology Term Finder | 2026-08-04 09:42:15 | 108 | ||||
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Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | data analysis service, analysis service resource, web service, software resource, data access protocol, production service resource, service resource, database, data or information resource | APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier. | protein, protein interaction, interactions, ppi, interactomes, analysis, gene, ontology, functional, environment, data, network, graphic, visualize |
is listed by: Gene Ontology Tools is related to: PSICQUIC Registry is related to: Gene Ontology is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: IntAct is related to: MINT has parent organization: University of Salamanca; Salamanca; Spain |
Spanish Ministerio de Sanidad y Consumo ; Junta de Castilla y Leon |
PMID:27131791 PMID:30715274 |
Free for academic use | r3d100012339, nlx_149321 | https://doi.org/10.17616/R3407P, https://doi.org/10.17616/R3407P | SCR_008871 | Agile Protein Interactomes DataServer, APID, APID Interactomes, Agile Protein Interactomes DataServer (APID), APID (Agile Protein Interactomes DataServer) | 2026-08-04 09:42:14 | 14 | ||||
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LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-08-04 09:42:14 | 19 | |||||
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GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | data analysis service, data processing software, analysis service resource, software resource, software application, production service resource, service resource | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | Gene Ontology for Motifs | 2026-08-04 09:42:15 | 3 | |||||
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Onto-Express To Go (OE2GO) Resource Report Resource Website |
Onto-Express To Go (OE2GO) (RRID:SCR_008854) | OE2GO | data analysis service, analysis service resource, software resource, text-mining software, software application, production service resource, service resource | Onto-Express is a web-based tool in the Onto-Tools suite that performs automated function profiling for a list of differentially expressed genes. However, Onto-Express does not support functional profiling for the organisms that do not have annotations in public domain, or use of custom (i.e. user-defined) ontologies. This limitation is also true for most of the other existing tools for functional profiling, which means that researchers working with uncommon organisms and/or new annotations or ontologies may be forced to construct such profiles manually. Onto-Express To Go (OE2GO) is a new tool added to the Onto-Tools ensemble to address these issues. OE2GO is built on top of OE to leverage its existing functionality. In OE2GO, the users now have an option to use either the Onto-Tools database as a source of functional annotations or provide their own annotations in a separate file. Currently, OE2GO supports annotation file in the Gene Ontology format. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, gene expression, annotation, data mining, ontology browser, annotation browser, ontology search engine, annotation search engine, ontology visualization, annotation visualization, statistical analysis, term enrichment, browser, visualization, search engine |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:17584796 | Free for academic use | nlx_149112 | SCR_008854 | Onto-Express-to-go, Onto-Express To Go | 2026-08-04 09:42:15 | 0 | ||||||
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GMD Resource Report Resource Website 100+ mentions |
GMD (RRID:SCR_006625) | GMD | web service, software resource, data access protocol, service resource, database, data or information resource | It facilitates the search for and dissemination of mass spectra from biologically active metabolites quantified using Gas chromatography (GC) coupled to mass spectrometry (MS). Use the Search Page to search for a compound of your interest, using the name, mass, formula, InChI etc. as query input. Additionally, a Library Search service enables the search of user submitted mass spectra within the GMD. In parallel to the library search, a prediction of chemical sub-groups is performed. This approach has reached beta level and a publication is currently under review. Using several sub-group specific Decision Trees (DTs), mass spectra are classified with respect to the presence of the chemical moieties within the linked (unknown) compound. Prediction of functional groups (ms analysis) facilitates the search of metabolites within the GMD by means of user submitted GC-MS spectra consisting of retention index (n-alkanes, if vailable) and mass intensities ratios. In addition, a functional group prediction will help to characterize those metabolites without available reference mass spectra included in the GMD so far. Instead, the unknown metabolite is characterized by predicted presence or absence of functional groups. For power users this functionality presented here is exposed as soap based web services. Functional group prediction of compounds by means of GC-EI-MS spectra using Microsoft analysis service decision trees All currently available trained decision trees and sub-structure predictions provided by the GMD interface. Table describes the functional group, optional use of an RI system, record date of the trained decision tree, number of MSTs with proportion of MSTs linked to metabolites with the functional group present for each tree. Average and standard deviation of the 50-fold CV error, namely the ratio false over correctly sorted MSTs in the trained DT, are listed. The GMD website offers a range of mass spectral reference libraries to academic users which can be downloaded free of charge in various electronic formats. The libraries are constituted by base peak normalized consensus spectra of single analytes and contain masses in the range 70 to 600 amu, while the ubiquitous mass fragments typically generated from compounds carrying a trimethylsilyl-moiety, namely the fragments at m/z 73, 74, 75, 147, 148, and 149, were excluded. | drug, expression, functional, gas chromatography, gene, general chemistry databases, bioinformatic, biological extract, biology, biotechnology, compound, genomic, herbicide, mass spectra, mass spectrometry, metabolism, metabolite, metabolomics, organism, profiling, protein, spectral, system, FASEB list | has parent organization: Max Planck Institute of Molecular Plant Physiology; Golm; Germany | PMID:15613389 PMID:15733837 PMID:18501684 PMID:20526350 |
r3d100011046, nif-0000-21180 | http://csbdb.mpimp-golm.mpg.de/csbdb/gmd/gmd.html, https://doi.org/10.17616/R3MC9K | SCR_006625 | Golm Metabolome Data Base, The Golm Metabolome Database, Golm Metabolome Database | 2026-08-04 09:41:40 | 157 | ||||||
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MGI GO Browser Resource Report Resource Website 1+ mentions |
MGI GO Browser (RRID:SCR_006489) | MGI GO Browser | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | With the MGI GO Browser, you can search for a GO term and view all mouse genes annotated to the term or any subterms. You can also browse the ontologies to view relationships between terms, term definitions, as well as the number of mouse genes annotated to a given term and its subterms. The MGI GO browser directly accesses the GO data in the MGI database, which is updated nightly. Platform: Online tool | gene, ontology, browser, molecular function, biological process, cellular component, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Mouse Genome Informatics (MGI) |
Free for academic use | nlx_149104 | SCR_006489 | 2026-08-04 09:41:36 | 7 | ||||||||
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UNITE Resource Report Resource Website 1000+ mentions |
UNITE (RRID:SCR_006518) | UNITE | data analysis service, analysis service resource, storage service resource, data repository, production service resource, service resource, database, data or information resource | A fungal rDNA internal transcribed spacer (ITS) sequence database (although additional genes and genetic markers are also welcome) to facilitate identification of environmental samples of fungal DNA. Additional important features include user annotation of INSD sequences to add metadata on, e.g., locality, habitat, soil, climate, and interacting taxa. The user can furthermore annotate INSD sequences with additional species identifications that will appear in the results of any analyses done. UNITE focuses on high-quality ITS sequences generated from fruiting bodies collected and identified by experts and deposited in public herbaria. In addition, it also holds all fungal ITS sequences in the International Nucleotide Sequence Databases (INSD: NCBI, EMBL, DDBJ). Both sets of sequences may be used in any analyses carried out. UNITE is accompanied by a project management system called PlutoF, where users can store field data, document the sequencing lab procedures, manage sequences, and make analyses. PlutoF intends to make it possible for taxonomists, ecologists, and biogeographers to use a common platform for data storage, handling, and analyses, with the intent of facilitating an integration of these disciplines. A user can have an unlimited number of projects but still make analyses across any project data available to him. | sequence, barcoding sequence, internal transcribed spacer sequence, rdna, gene, genetic marker, internal transcribed spacer, dna, FASEB list |
has parent organization: University of Tartu; Tartu; Estonia has parent organization: University of Oslo; Oslo; Norway has parent organization: University of Gothenburg; Gothenburg; Sweden has parent organization: University of Lisbon; Lisbon; Portugal |
PMID:20409185 PMID:15869663 |
Creative Commons Attribution-ShareAlike License, v3 Unported, The community can contribute to this resource | nlx_61947, r3d100011316 | https://doi.org/10.17616/R37635 | http://unite.zbi.ee | SCR_006518 | unite: A molecular database for the identification of fungi | 2026-08-04 09:41:37 | 2010 | ||||
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Phytozome Resource Report Resource Website 1000+ mentions |
Phytozome (RRID:SCR_006507) | Phytozome | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | A comparative platform for green plant genomics. Families of orthologous and paralogous genes that represent the modern descendents of ancestral gene sets are constructed at key phylogenetic nodes. These families allow easy access to clade specific orthology / paralogy relationships as well as clade specific genes and gene expansions. As of release v9.1, Phytozome provides access to forty-one sequenced and annotated green plant genomes which have been clustered into gene families at 20 evolutionarily significant nodes. Where possible, each gene has been annotated with PFAM, KOG, KEGG, and PANTHER assignments, and publicly available annotations from RefSeq, UniProt, TAIR, JGI are hyper-linked and searchable., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genome, genomics, plant, green plant, cluster sequence, alignment, gene, node, cluster, blast, blat, biomart, peptide homolog, gene ancestry, sequence, annotation, gene structure, gene family, genome organization, comparative genomics, physiology, comparative, bio.tools, FASEB list |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: Plant Co-expression Annotation Resource has parent organization: DOE Joint Genome Institute has parent organization: Lawrence Berkeley National Laboratory |
Gordon and Betty Moore Foundation ; DOE DE-AC02-05CH11231 |
PMID:22110026 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:phytozome, nlx_151490, r3d100010850 | https://bio.tools/phytozome, https://doi.org/10.17616/R38021 | SCR_006507 | 2026-08-04 09:41:36 | 3108 | |||||
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Gene Expression Database Resource Report Resource Website 50+ mentions |
Gene Expression Database (RRID:SCR_006539) | GXD | storage service resource, data repository, service resource, database, data or information resource | Community database that collects and integrates the gene expression information in MGI with a primary emphasis on endogenous gene expression during mouse development. The data in GXD are obtained from the literature, from individual laboratories, and from large-scale data providers. All data are annotated and reviewed by GXD curators. GXD stores and integrates different types of expression data (RNA in situ hybridization; Immunohistochemistry; in situ reporter (knock in); RT-PCR; Northern and Western blots; and RNase and Nuclease s1 protection assays) and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development. GXD also maintains an index of the literature examining gene expression in the embryonic mouse. It is comprehensive and up-to-date, containing all pertinent journal articles from 1993 to the present and articles from major developmental journals from 1990 to the present. GXD stores primary data from different types of expression assays and by integrating these data, as data accumulate, GXD provides increasingly complete information about the expression profiles of transcripts and proteins in different mouse strains and mutants. GXD describes expression patterns using an extensive, hierarchically-structured dictionary of anatomical terms. In this way, expression results from assays with differing spatial resolution are recorded in a standardized and integrated manner and expression patterns can be queried at different levels of detail. The records are complemented with digitized images of the original expression data. The Anatomical Dictionary for Mouse Development has been developed by our Edinburgh colleagues, as part of the joint Mouse Gene Expression Information Resource project. GXD places the gene expression data in the larger biological context by establishing and maintaining interconnections with many other resources. Integration with MGD enables a combined analysis of genotype, sequence, expression, and phenotype data. Links to PubMed, Online Mendelian Inheritance in Man (OMIM), sequence databases, and databases from other species further enhance the utility of GXD. GXD accepts both published and unpublished data. | endogenous, expression assay, expression data, expression image, gene expression, genes, image, immunohistochemistry, in situ reporter, knock in, mouse, mouse mutant, northern blot, nuclease protection assay, rna in situ hybridization, rnase protection assay, rt-pcr, western blot, endogenous gene expression, mouse development, gene, transcript, protein, annotation, development, embryonic mouse, bio.tools, FASEB list |
is listed by: GUDMAP Ontology is listed by: NIDDK Information Network (dkNET) is listed by: Debian is listed by: bio.tools is related to: VisiGene Image Browser is related to: Mouse Genome Informatics (MGI) is related to: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project is related to: EMAGE Gene Expression Database is related to: aGEM has parent organization: Jackson Laboratory is parent organization of: Adult Mouse Anatomy Ontology is parent organization of: Mouse Anatomical Dictionary Browser |
NICHD HD033745 | PMID:21062809 | Free | nif-0000-01253, biotools:gxd, SCR_017529 | https://bio.tools/gxd | SCR_006539 | Jackson Lab Gene Expression Database | 2026-08-04 09:41:38 | 56 |
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