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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Brain Test Resource Report Resource Website |
Brain Test (RRID:SCR_006212) | Brain Test | portal, topical portal, data or information resource | A portal of online studies that encourage community participation to tackle the most challenging problems in neuropsychiatry, including attention-deficit / hyperactivity disorder, schizophrenia, and bipolar disorder. Our approach is to engage the community and try to recruit tens of thousands of people to spend an hour of their time on our site. You folks will provide data in both brain tests and questionnaires, as well as DNA, and in return, we will provide some information about your brain and behavior. You will also be entered to win amazon.com gift cards. While large collaborative efforts were made in genetics in order to discover the secrets of the human genome, there are still many mysteries about the behaviors that are seen in complex neuropsychiatric syndromes and the underlying biology that gives rise to these behaviors. We know that it will require studying tens of thousands of people to begin to answer these questions. Having you, the public, as a research partner is the only way to achieve that kind of investment. This site will try to reach that goal, by combining high-throughput behavioral assessment using questionnaires and game-like cognitive tests. You provide the data and then we will provide information and feedback about why you should help us achieve our goals and how it benefits everyone in the world. We believe that through this online study, we can better understand memory and attention behaviors in the general population and their genetic basis, which will in turn allow us to better characterize how these behaviors go awry in people who suffer from mental illness. In the end, we hope this will provide better, more personalized treatment options, and ultimately prevention of these widespread and extremely debilitating brain diseases. We will use the data we collect to try to identify the genetic basis for memory and impulse control, for example. If we can achieve this goal, maybe we can then do more targeted research to understand how the biology goes awry in people who have problems with cognition, including memory and impulse control, like those diagnosed with ADHD, Schizophrenia, Bipolar Disorder, and Autism Spectrum Disorders. By participating in our research, you can learn about mental illness and health and help researchers tackle these complex problems. We can''t do it without your help. | neuropsychiatry, brain, behavior, behavioral assessment, questionnaire, cognitive test, crowdsourcing, online study, memory, attention, brain disease, gene, exercise, genetics, mental disease, mental health, research project, research | has parent organization: University of California at Los Angeles; California; USA | Attention deficit-hyperactivity disorder, Schizophrenia, Bipolar Disorder, Mental disease, Normal, Autism Spectrum Disorder | NIMH ; NARSAD |
nlx_151777 | SCR_006212 | Brain Test project | 2026-08-06 09:26:34 | 0 | ||||||
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GWAS Central Resource Report Resource Website 100+ mentions |
GWAS Central (RRID:SCR_006170) | storage service resource, service resource, data repository, data or information resource, database | Publicly available database of summary level findings from genetic association studies in humans, including genome wide association studies (GWAS). Previously named HGBASE, HGVbase and HGVbaseG2P. | Human Genome Variation database of Genotype-to-Phenotype information, genetic association study, genotype, phenotype, gene, genome region, disease, frequency data, region, genome, marker, single nucleotide polymorphism, genetic variant, allele, genome wide association study, human genome, chromosome, genetics |
is listed by: re3data.org is related to: dbSNP has parent organization: University of Leicester; Leicester; United Kingdom |
European Union GEN2PHEN project ; University of Leicester; Leicester; United Kingdom ; GlaxoSmithKline |
PMID:18948288 | nlx_151672, nif-0000-02958, SCR_007709, r3d100010565 | http://www.hgvbaseg2p.org, https://doi.org/10.17616/R34G8W | SCR_006170 | Genome Wide Association Studies Central, Human Genome Variation database of Genotype to Phenotype information, HGVbaseG2P | 2026-08-06 09:26:33 | 105 | ||||||
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Genes Cognition and Psychosis Program Resource Report Resource Website 1+ mentions |
Genes Cognition and Psychosis Program (RRID:SCR_006292) | GCAP | portal, topical portal, disease-related portal, data or information resource | Schizophrenia related portal that aims to solve the mystery of genetic predisposition to psychosis, develop new methods for early diagnosis and prevention, and discover new treatments that will cure people suffering from it. Our objectives are to fully characterize: # neurobiological mechanisms related to susceptibility genes for schizophrenia and related clinical disorders; # genetic variation in aspects of cognition and emotionality associated with schizophrenia; and # small molecular targets for novel therapies. A unique feature of this Program is that its diverse scientific resources will be focused on a highly specific scientific agenda, that is to acquire the critical biological information about the susceptibility genes associated with schizophrenia and related illnesses. Our mission and goal, to understand the basic mechanisms of serious mental illness, has again guided us into new areas of research and to new insights. We have found evidence of new genes implicated in the cause of schizophrenia and involved in brain functions related to cognition and emotion and we have begun to explore how genes interact with each other and with the environment to individualize risk for these conditions. We are working now with over 20 genes related to schizophrenia. One of the key developments in our research over the past year has been the emergence of some targets for the development of novel therapeutics. We have discovered a new schizophrenia susceptibility gene, KCNH2, which represents the first clear target for the development of novel treatments. Just in this past year, for example, we published the first extensive statistical analysis of how schizophrenia genes may vary in their risk effects based on different genetic background (Nicodemus et al Hum Gen 2006), the first studies of schizophrenia genes interacting in effecting gene expression in brain (Lipska et al Hum Mol Genetics 2006a, Lipska et al Hum Mol Gen 2006 b); the first evidence that the mechanism of genetic association of NRG1 with schizophrenia involves a novel isoform of the gene in human brain (Law et al PNAS 2006), and the first evidence that MAOA may be linked to mood and impulse control because it effects critical mood regulatory neural networks (Meyer-Lindenberg et al PNAS 2006). | gene, genetic variation, cognition, emotion, therapeutics, treatment, drug development, brain function, psychosis, drug |
is related to: NIMH Intramural Research Program Clinical Brain Disorders Branch has parent organization: NIMH Division of Intramural Research Programs |
Schizophrenia, Mental illness, Psychiatric disorder | NIMH | nlx_151948 | SCR_006292 | 2026-08-06 09:26:35 | 1 | |||||||
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UMD-BRCA1/ BRCA2 databases Resource Report Resource Website 10+ mentions |
UMD-BRCA1/ BRCA2 databases (RRID:SCR_006128) | UMD-BRCA1/ BRCA2 databases | storage service resource, service resource, data repository, data or information resource, database | The UMD-BRCA1/BRCA2 databases have been set up in a joined national effort through the network of 16 diagnostic laboratories to provide up-to-date information about mutations of the BRCA1 and BRCA2 genes identified in patients with breast and/or ovarian cancer. These databases currently contain published and unpublished information about the BRCA1/BRCA2 mutations reported in French diagnostic laboratories. This database includes 28 references and 5530 mutations (1440 different mutations and 786 protein variants) The databases of BRCA1 and BRCA2 mutations were built using the Universal Mutation Database tool. For each mutation, information is provided at several levels: * at the gene level: exon and codon number, wild type and mutant codon, mutation event, mutation name and, * at the protein level: wild type and mutant amino acid, binding domain, affected domain. If you want to submit a mutation, please contact R. Lidereau., S. Caputo. or E. Rouleau. | cancer, gene, mutation, exon, codon, wild type, mutant, mutation, protein, amino acid, binding domain, affected domain, brca1, brca2, variant, polymorphism, unclassified variant, unknown variant, female, woman, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: National Institute of Health and Medical Research; Rennes; France |
Breast cancer, Ovarian cancer | French National Cancer Institute ; European Union FP7/2007-2013; Association dAide a la Recherche Cancerologique de Saint Cloud |
PMID:22144684 | The UMD- BRCA1 Locus Specific Databases constitute the intellectual property of the curators of the database. Any unauthorized copying, Storage or distribution of this material without written permission from the curators would lead to copyright infringement with possible ensuing litigation. | nlx_151608, biotools:brca_share | https://bio.tools/brca_share | SCR_006128 | UMD-BRCA1 mutations database, UMD-BRCA1 / BRCA2 databases, UMD-BRCA1/BRCA2 databases | 2026-08-06 09:26:30 | 26 | |||
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InterSpecies Analysing Application using Containers Resource Report Resource Website 10+ mentions |
InterSpecies Analysing Application using Containers (RRID:SCR_006243) | ISAAC | software resource, service resource, production service resource, data analysis service, analysis service resource | Web based tool to enable the analysis of sets of genes, transcripts and proteins under different biological viewpoints and to interactively modify these sets at any point of the analysis. Detailed history and snapshot information allows tracing each action. One can switch back to previous states and perform new analyses. Sets can be viewed in the context of genomes, protein functions, protein interactions, pathways, regulation, diseases and drugs. Additionally, users can switch between species with an automatic, orthology based translation of existing gene sets. Sets as well as results of analyses can be exchanged between members of groups. | protein function, protein interaction, pathway, mirna, disease, drug, gene, genome, transcript, protein, regulation |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Wurzburg; Bavaria; Germany |
PMID:24428905 | OMICS_02237 | SCR_006243 | ISAAC (Interspecies Analysing Application using Containers), ISAAC - InterSpecies Analysing Application using Containers, Interspecies Analysing Application using Containers - ISAAC | 2026-08-06 09:26:34 | 35 | |||||||
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OGEE - Online GEne Essentiality database Resource Report Resource Website 1+ mentions |
OGEE - Online GEne Essentiality database (RRID:SCR_006080) | OGEE, OGEEdb | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | Online GEne Essentiality database containing genes that were tested experimentally for essentiality and their features; it also provides a set of tools to systematically explore and analyze these data. The main purpose of this project is to better understand gene essentiality by facilitating the comparisons of the differences and similarities between essential and non-essential genes. This is achieved by collecting not only experimentally tested essential and non-essential genes, but also associated gene features such as expression profiles, duplication status, conservation across species, evolutionary origins and involvement in embryonic development. We focus on large-scale experiments and complement our data with text-mining results. Genes are organized into data sets according to their sources. Genes with variable essentiality status across data sets are tagged as conditionally essential, highlighting the complex interplay between gene functions and environments. Linked tools allow the user to compare gene essentiality among different gene groups, or compare features of essential genes to non-essential genes, and visualize the results. Why is it different from existing databases? * we included both essential and non-essential genes so that we could better understand the gene essentiality by comparing the similarities and differences between the two gene sets; * we compiled a list of features for each gene, including whether they are duplicates or involved in development, the number of other homologous genes in the same genome, as well as their earliest expression stages during development. These features are keys to understand the essentiality of genes; * we also provide a set of tools to explore our data and visualize the results. For example, users can simply divide genes into two groups according to whether they are duplicates, calculate the proportion of essential genes (PE%) in each group and then visualize the results in a bar plot; or they can classify genes into multiple groups according to their earliest expression stages during evolution, compare the essentiality of genes that were expressed earlier with those were latter, and plot the results in a line chart. | genome-wide association study, essentiality, gene, essential gene, non-essential gene, growth, expression profile, duplication status, conservation, evolutionary origin, embryonic development, text-mining, gene function, environment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Molecular Biology Laboratory |
BMBF 0315450C | PMID:22075992 | Free | nlx_151488, biotools:ogee | https://bio.tools/ogee | SCR_006080 | Online GEne Essentiality database | 2026-08-06 09:26:30 | 2 | ||||
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CreZOO Resource Report Resource Website |
CreZOO (RRID:SCR_006132) | CreZOO | material resource, organism supplier, biomaterial supply resource | The CreZOO database is the European virtual repository of Cre and other targeted conditional driver strains. CreZOO is being developed in the context of the CREATE consortium, a core of major European and international mouse database holders and research groups involved in conditional mutagenesis. Its aim is to capture and disseminate extant and new information on Cre driver strains. CreZOO also aims to contribute data to the CREATE portal for worldwide access of related information. All transgenic strains carry detailed information on the promoter, specificity (using Adult Mouse Anatomy terms and Theiler Stages) and expressed gene(s) including IDs and direct links where available. Allele details are also presented, in addition to strain, background and availability (in the form of live mice, cryopreserved embryos or sperm etc) information (including EMMA, MGI, MMRRC etc hyperlinks where available). Handling and genotyping details (in the form of documents or hyperlinks) together with all relevant publications are clearly presented with PMID(s) and direct PubMed links. | cre, gene expression, mouse model, gene function, disease pathology, cre driver strain, cre driver, strain, promoter, allele, inducibility, expression pattern, live mouse, embryo, sperm, embryonic stem cell, promoter, gene, allele |
is listed by: One Mind Biospecimen Bank Listing has parent organization: CREATE has parent organization: BSRC Al. Fleming; East Attica; Greece |
European Union FP7 FP7-HEALTH-2007-223487-CREATE | PMID:22730454 | Database access is free of charge and there are no registration requirements for data querying. | nlx_151616 | SCR_006132 | 2026-08-06 09:26:31 | 0 | ||||||
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CREATE Resource Report Resource Website 50+ mentions |
CREATE (RRID:SCR_006133) | CREATE | international standard specification, topical portal, data or information resource, portal, standard specification, narrative resource, database | The CREATE consortium represents a core of major European and international mouse database holders and research groups involved in conditional mutagenesis, primarily to develop a strategy for the integration and dissemination of Cre driver strains for modelling aspects of complex human diseases in the mouse. Collectively the participants have amassed a significant number of these strains in their respective databases. Therefore one of the goals of CREATE is to provide a unified portal for worldwide access to these critical resources. The portal can either be searched through an advanced BioMart interface, by driver name, or by anatomical site of expression using Embryonic Mouse Anatomy Project (EMAP) and Mouse Anatomy (MA) ontology terms. Search results link back to the original source of the data for more detailed information and to IMSR to order mice if available. The ontology browser is particularly useful as it enables the CREATE consortium to identify cell and tissues that are not currently covered by existing lines. CREATE also aims to coordinate the production of suitable lines by the Cre generation projects described above. Through the CREATE portal, the CREATE consortium aims to develop a strategy for the production, integration and dissemination of new Cre driver strains for modelling aspects of complex human diseases in the mouse. CREATE is also developing a roadmap for harnessing emerging technologies and methods for improving Cre-mediated recombination in vivo through targeted, intensive workshops and discussion forums on the portal. This will entail review of construct design options for classical transgenic constructs (promoter/enhancer used, small size <2025 Kb) vs large transgenic constructs (BAC, P1, YAC etc.); methods used for Cre transgenic lines including random vs targeted integration, position independent expression loci, or replacement of endogenous coding sequences with Cre recombinase under the control of the endogenous locus. CREATE provides a platform for discussion of additional issues specific to inducible Cre strategies including background activity before induction, inducibility (kinetics), efficiency, and protocols used for induction of Cre recombinase activity. Additional components of the technology roadmap will be the cataloguing of other existing methodologies (rtTA, FLP, Dre) of mouse genome modification, sharing information on validated Cre mutant lines as well as identification and assessment of new methods of mutagenesis such as RNAi and other emerging technologies. Other discussion topics addressed through surveys on the CREATE portal include the characterization of Cre lines (specificity of expression/deletion; efficiency of expression/ deletion; reproducibility of deletion from animal to animal for the same floxed allele; reproducibility with different floxed alleles; timing of expression/deletion, etc.), the extent to which Cre expression changes upon backcrossing to specific genetic backgrounds through variegation and silencing; potential phenotypes caused by either integration- mediated mutagenesis or Cre ''toxicity''; and other factors affecting the specificity of Cre-mediated expression/deletion. CREATE regularly integrates common fields from the Cre-X, CreZOO and the MGI recombinase portal resources described below. The data in common consists of: * Transgene or Knock-in name. * MGI ID of allele. * Driver. * Anatomical site of expression. * Pubmed ID. * IMSR strain name and link. * Inducibility (YES/NO). | cre driver, mutagenesis, cre, gene, allele, mutant mouse es cell line, mutant mouse, es cell line, phenotype, gene expression, cre recombinase, tissue, organ, cell, mouse mutagenesis, cre line, FASEB list |
is related to: Recombinase (cre) Activity has parent organization: European Bioinformatics Institute is parent organization of: CreZOO |
European Union FP7 HEALTH-2007-2.1.2-6; European Union FP7 223487 |
PMID:21195764 | nlx_151617 | SCR_006133 | CREATE (Coordination of resources for conditional expression of mutated mouse alleles) project, CREATE - Coordination of resources for conditional expression of mutated mouse alleles, CREATE portal, CREATE (Coordination of resources for conditional expression of mutated mouse alleles) | 2026-08-06 09:26:33 | 50 | ||||||
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phenomeNET Resource Report Resource Website 10+ mentions |
phenomeNET (RRID:SCR_006165) | PhenomeNet | source code, software resource, service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | PhenomeNet is a cross-species phenotype similarity network. It contains the experimentally observed phenotypes of multiple species as well as the phenotypes of human diseases. PhenomeNet provides a measure of phenotypic similarity between the phenotypes it contains. The latest release (from 22 June 2012) contains 124,730 complex phenotype nodes taken from the yeast, fish, worm, fly, rat, slime mold and mouse model organism databases as well as human disease phenotypes from OMIM and OrphaNet. The network is a complete graph in which edge weights represent the degree of phenotypic similarity. Phenotypic similarity can be used to identify and prioritize candidate disease genes, find genes participating in the same pathway and orthologous genes between species. To compute phenotypic similarity between two sets of phenotypes, we use a weighted Jaccard index. First, phenotype ontologies are used to infer all the implications of a phenotype observation using several phenotype ontologies. As a second step, the information content of each phenotype is computed and used as a weight in the Jaccard index. Phenotypic similarity is useful in several ways. Phenotypic similarity between a phenotype resulting from a genetic mutation and a disease can be used to suggest candidate genes for a disease. Phenotypic similarity can also identify genes in a same pathway or orthologous genes. PhenomeNet uses the axioms in multiple species-dependent phenotype ontologies to infer equivalent and related phenotypes across species. For this purpose, phenotype ontologies and phenotype annotations are integrated in a single ontology, and automated reasoning is used to infer equivalences. Specifically, for every phenotype, PhenomeNet infers the related mammalian phenotype and uses the Mammalian Phenotype Ontology for computing phenotypic similarity. Tools: * PhenomeBLAST - A tool for cross-species alignments of phenotypes * PhenomeDrug - method for drug-repurposing | phenotype, disease, gene, genotype, allele, model organism, human disease, candidate disease gene, pathway, orthologous gene, ortholog, ontology, semantic similarity, mutant phenotype, disease pathway, alignment, pharmacogenomics, drug |
is related to: OMIM is related to: Orphanet is related to: PharmGKB is related to: MPO has parent organization: University of Cambridge; Cambridge; United Kingdom |
European Union 7th FPRICORDO project 248502; NHGRI R01 HG004838-02; BBSRC BBG0043581 |
PMID:21737429 | The source code and all data are freely available on http://phenomeblast.googlecode.com | nlx_151667 | SCR_006165 | PhenomeNet - Cross Species Phenotype Network | 2026-08-06 09:26:31 | 13 | |||||
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Phenexplorer Resource Report Resource Website 1+ mentions |
Phenexplorer (RRID:SCR_006156) | PhenExplorer | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | The PhenExplorer allows you to browse the Human Phenotype Ontology (HPO) in different ways, using the tabs ''''by features'''', ''''by disease'''', ''''by ontology'''' or ''''by genes''''. Clicking on a particular phenotypic feature (HPO-term) you can get a list of disease entries that are linked to it (i.e. diseases that are annotated with this HPO-term). You can also visualize this term in the context of the ontological structure. Finally, a lists of genes can be displayed, that are known to cause (when mutated) the linked diseases mentioned above. For each disease you can get the list of linked HPO-terms and genes. You can also search for specific genes and explore to which HPO-terms and diseases they are linked. | phenotype, ontology, feature, disease, gene |
is used by: Human Phenotype Ontology is related to: Human Phenotype Ontology has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
nlx_151656 | SCR_006156 | PhenExplorer - Explore the Human Phenotype Ontology | 2026-08-06 09:26:31 | 2 | ||||||||
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Gene-Disease Association Type Ontology Resource Report Resource Website |
Gene-Disease Association Type Ontology (RRID:SCR_006159) | controlled vocabulary, ontology, data or information resource | Ontology that describes the different types of associations between a gene and a disease. It was developed to integrate information from different databases that contain gene-disease associations such as UniProt, CTD, Orphanet, the GWAS Catalog, GAD, MGD, RGD, and LHGDN. | gene, disease, owl, ontology |
is affiliated with: DisGeNET has parent organization: Pompeu Fabra University; Barcelona; Spain |
PMID:21695124 PMID:24602174 |
Free | nlx_151711 | http://www.disgenet.org/web/DisGeNET/menu/downloads | SCR_006159 | Gene Disease Association, GeneDiseaseAssociation Type Ontology | 2026-08-06 09:26:31 | 0 | ||||||
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Hereditary Hearing Loss Homepage Resource Report Resource Website 100+ mentions |
Hereditary Hearing Loss Homepage (RRID:SCR_006469) | Hereditary Hearing Loss | atlas, topical portal, data or information resource, portal, database | Overview of the genetics of hereditary hearing impairment for researchers and clinicians. The site lists data and references for all known gene localizations and identifications for nonsyndromic hearing impairment, and several for syndromic hearing loss. For syndromic hearing impairment, only a few of the most frequent forms are covered. An atlas of cochlea with genes listed can be accessed from this site. | cochlea, syndromic, nonsyndromic, gene, genetics, hearing impairment, hearing, ear, FASEB list |
is listed by: OMICtools is related to: MITOMAP - A human mitochondrial genome database has parent organization: University of Iowa; Iowa; USA has parent organization: University of Antwerp; Antwerp; Belgium |
Hereditary hearing impairment, Hearing impairment | nif-0000-00075, OMICS_01542 | SCR_006469 | 2026-08-06 09:26:37 | 455 | ||||||||
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ErmineJ Resource Report Resource Website 50+ mentions |
ErmineJ (RRID:SCR_006450) | ermineJ | data analysis software, software application, software resource, data processing software | Data analysis software for gene sets in expression microarray data or other genome-wide data that results in rankings of genes. A typical goal is to determine whether particular biological pathways are doing something interesting in the data. The software is designed to be used by biologists with little or no informatics background. A command-line interface is available for users who wish to script the use of ermineJ. Major features include: * Implementation of multiple methods for gene set analysis: ** Over-representation analysis ** A resampling-based method that uses gene scores ** A rank-based method that uses gene scores ** A resampling-based method that uses correlation between gene expression profiles (a type of cluster-enrichment analysis). * Gene sets receive statistical scores (p-values), and multiple test correction is supported. * Support of the Gene Ontology terminology; users can choose which aspects to analyze. * User files use simple text formats. * Users can modify gene sets or create new ones. * The results can be visualized within the software. * It is simple to compare multiple analyses of the same data set with different settings. * User-definable hyperlinks are provided to external sites to allow more efficient browsing of the results. * For programmers, there is a command line interface as well as a simple application programming interface that can be used to plug ermineJ functionality into your own code Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | microarray, gene ontology, analysis, high-throughput, gene, gene expression, statistical analysis, term enrichment, genome |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of British Columbia; British Columbia; Canada has parent organization: Columbia University; New York; USA |
PMID:16280084 | Free for academic use | nif-0000-07758 | SCR_006450 | ermineJ: Gene Ontology analysis for high-throughput data | 2026-08-06 09:26:35 | 50 | ||||||
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COLT-Cancer Resource Report Resource Website 10+ mentions |
COLT-Cancer (RRID:SCR_006485) | COLT-Cancer | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | The COLT-Cancer database is a collection of shRNA dropout signatures profiles, covering ~16000 human genes, and derived from more than 70 Pancreatic, Ovarian and Breast human cancer cell-lines using the microarray detection platform developed in the COLT (CCBR-OICR Lentiviral Technology) facility at the Moffat Lab. All shRNA dropout profiles are freely available through download or queries via this website. | gene, shrna profile, shrna, functional genetics, cancer, cell line, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Toronto; Ontario; Canada |
Pancreatic cancer, Ovarian cancer, Breast cancer | Ontario Institute for Cancer Research ; Terry Fox Research Institute ; Canadian Institutes of Health Research ; Canada Foundation for Innovation ; Ontario Research Fund |
PMID:22102578 | Free | biotools:colt-cancer, nlx_149426 | https://bio.tools/colt-cancer | SCR_006485 | CCBR-OICR Lentiviral Technology Cancer, COLT-Cancer database | 2026-08-06 09:26:35 | 11 | |||
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MouseBook Resource Report Resource Website 10+ mentions |
MouseBook (RRID:SCR_006358) | MouseBook | material resource, organism supplier, biomaterial supply resource | Databases and portal to data and ordering mouse strains from MRC Harwell including mouse stocks in FESA (Frozen Embryo and Sperm Archive), mutants from the mutagenesis screen, the ENU DNA archive, standardized phenotyping procedures, imprinting genes and chromosome anomalies. The portal integrates curated information from the MRC Harwell stock resource, and other Harwell databases, with information from external data resources to provide added value information above and beyond what is available through other routes such as IMSR (International Mouse Stain Resource). MouseBook can be searched either using an intuitive Google-style free text search or using the Mammalian Phenotype Ontology (MP) tree structure. Text searches can be on gene, allele, strain identifier (e.g. MGI ID) or phenotype term and are assisted by automatic recognition of term types and autocompletion of gene and allele names covered by the database. Results are returned in a tabbed format providing categorized results identified from each of the catalogs in MouseBook. Individual results lines from each catalog include information on gene, allele, chromosomal location and phenotype and provide a simple click-through link to further information as well as ordering the strain. The infrastructure underlying MouseBook has been designed to be extensible, allowing additional data sources to be added enabling other sites to make their data directly available through MouseBook. | mutant mouse strain, gene, allele, phenotype, embryonic mouse, embryo, sperm, live, chromosomal location, mutant mouse line, imprint, standard operating procedure, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: Debian is listed by: bio.tools is related to: MPO |
Motor neuron disease, Chromosomal anomaly | MRC | PMID:19854936 | Public | nlx_152127, biotools:mousebook | https://bio.tools/mousebook | SCR_006358 | Mouse Book | 2026-08-06 09:26:35 | 18 | |||
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European Nucleotide Archive (ENA) Resource Report Resource Website 1000+ mentions |
European Nucleotide Archive (ENA) (RRID:SCR_006515) | ENA | storage service resource, service resource, data repository, data or information resource, database | Public archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource. | analysis, bioinformatics, dna, nucleotide, sequencing, web service, rna, molecular biology, nucleotide sequence, protein, gene expression, gene, genome, biochemistry, molecular structure, metabolite, protein binding, chemogenomics, gold standard |
is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: NCBI Sequence Read Archive (SRA) is related to: ENA Sequence Version Archive is related to: VBASE2 is related to: DDBJ Sequence Read Archive is related to: ISA Infrastructure for Managing Experimental Metadata is related to: DNA DataBank of Japan (DDBJ) is related to: DNA DataBank of Japan (DDBJ) is related to: NCBI is related to: INSDC is related to: INSDC is related to: NCBI Assembly Archive Viewer has parent organization: European Bioinformatics Institute is parent organization of: ENA Sequence Search works with: Eutherian comparative genomic analysis protocol |
EMBL ; Wellcome Trust ; European Union |
PMID:20972220 | Public, The community can contribute to this resource, Acknowledgement requested | OMICS_01029, r3d100010527, nif-0000-32981 | http://www.ebi.ac.uk/embl/, https://doi.org/10.17616/R3HW3J | SCR_006515 | ENA, European Nucleotide Archive | 2026-08-06 09:26:36 | 1272 | ||||
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Comparative Toxicogenomics Database (CTD) Resource Report Resource Website 1000+ mentions |
Comparative Toxicogenomics Database (CTD) (RRID:SCR_006530) | CTD | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | A public database that enhances understanding of the effects of environmental chemicals on human health. Integrated GO data and a GO browser add functionality to CTD by allowing users to understand biological functions, processes and cellular locations that are the targets of chemical exposures. CTD includes curated data describing cross-species chemical–gene/protein interactions, chemical–disease and gene–disease associations to illuminate molecular mechanisms underlying variable susceptibility and environmentally influenced diseases. These data will also provide insights into complex chemical–gene and protein interaction networks. | environment, chemical, disease, gene, pathway, protein, interaction, animal model, ontology, annotation, toxin, ontology or annotation browser, FASEB list |
is used by: DisGeNET is used by: NIF Data Federation is listed by: 3DVC is listed by: Gene Ontology Tools is related to: PharmGKB Ontology is related to: Gene Ontology is related to: BioRAT is related to: Integrated Gene-Disease Interaction is related to: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Mount Desert Island Biological Laboratory has parent organization: North Carolina State University; North Carolina; USA is parent organization of: Interaction Ontology |
Pfizer ; American Chemistry Council ; NIEHS ES014065; NIEHS R01 ES019604; NCRR P20 RR016463; NIEHS U24 ES033155 |
PMID:16902965 PMID:16675512 PMID:14735110 PMID:12760826 |
Free, Freely available | OMICS_01578, nif-0000-02683, r3d100011530 | http://ctd.mdibl.org, https://doi.org/10.17616/R3KS7N | SCR_006530 | CTD - Comparative Toxicogenomics Database | 2026-08-06 09:26:36 | 1188 | ||||
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Connexin-deafness Resource Report Resource Website 10+ mentions |
Connexin-deafness (RRID:SCR_006531) | Connexin-deafness | storage service resource, data set, service resource, data repository, data or information resource, database | Database and data set of known mutations in connexins related to deafness with associated information including published work and classification scheme. Users may submit new mutations. A large number of subjects are affected by hearing impairment. In developed countries deafness has an important genetic origin and at least 60% of the cases are inherited. The pattern of inheritance can be dominant, recessive, X-linked and mitochondrial. Many genes are involved in the different types of deafness (syndromic and non-syndromic). Non-syndromic hereditary deafness is mainly (80%) due to recessive genes (or mutations). It is believed that more than one hundred genes could be involved in hearing impairment. Several of these genes have been identified recently by positional cloning or positional candidate gene approaches. Despite the fact that more than 20 loci have been described for non-syndromic autosomal recessive deafness (DFNB), a single locus, DFNB1, accounts for a high proportion of the cases, with variability depending on the population. The gene involved in this type of deafness is GJB2, which encodes the gap junction protein connexin 26(Cx26). NEW Recent data indicates that DFNB1 can also be due to a deletion of 342Kb involving GJB6, a gene that is very close to GJB2. This deletion has been reported to cause deafness both in the homozygous status and in heterozygosity with a GJB2 point mutation in trans (see big deletions affecting connexin genes...). Connexins are transmembrane proteins that form channels allowing rapid transport of ions or small molecules between cells. There are two types of connexins, alpha and beta, named GJA or GJB followed by a number. Connexins are expressed in many different tissues. Other connexin genes are also involved in deafness. These are GJB1 (Cx32), which is also responsible for X-linked Charcot-Marie-Tooth disease type I; GJB3 (Cx31), involved in both deafness or a skin disease, erythrokeratodermia variabilis, depending on the location of the mutation; GJB6 (Cx30), which has been related to a dominant type of deafness in an Italian family and NEW GJA1 (Cx43), which has recently been shown to be involved in recessive deafness. | connexin, deletion, insertion, gjb1, gjb2, gjb3, gjb6, mutation, nonsyndromic deafness, polymorphism, syndromic deafness, hereditary deafness, gene, dominant, recessive, hearing, FASEB list | has parent organization: Centre for Genomic Regulation; Barcelona; Spain | Deafness, Hearing impairment | Acknowledgement requested | nif-0000-10449 | SCR_006531 | The Connexins-deafness, Connexins and deafness, Connexins-deafness, Connexins-deafness homepage, Connexin-deafness homepage, Connexins and deafness Homepage | 2026-08-06 09:26:37 | 45 | ||||||
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HUDSEN Human Gene Expression Spatial Database Resource Report Resource Website |
HUDSEN Human Gene Expression Spatial Database (RRID:SCR_006325) | HUDSEN Database | storage service resource, atlas, service resource, data repository, data or information resource, database | Database of a set of standard 3D virtual models at different stages of development from Carnegie Stages (CS) 12-23 (approximately 26-56 days post conception) in which various anatomical regions have been defined with a set of anatomical terms at various stages of development (known as an ontology). Experimental data is captured and converted to digital format and then mapped to the appropriate 3D model. The ontology is used to define sites of gene expression using a set of standard descriptions and to link the expression data to an ''''anatomical tree''''. Human data from stages CS12 to CS23 can be submitted to the HUDSEN Gene Expression Database. The anatomy ontology currently being used is based on the Edinburgh Human Developmental Anatomy Database which encompasses all developing structures from CS1 to CS20 but is not detailed for developing brain structures. The ontology is being extended and refined (by Prof Luis Puelles, University of Murcia, Spain) and will be incorporated into the HUDSEN database as it is developed. Expression data is annotated using two methods to denote sites of expression in the embryo: spatial annotation and text annotation. Additionally, many aspects of the detection reagent and specimen are also annotated during this process (assignment of IDs, nucleotide sequences for probes etc). There are currently two main ways to search HUDSEN - using a gene/protein name or a named anatomical structure as the query term. The entire contents of the database can be browsed using the data browser. Results may be saved. The data in HUDSEN is generated from both from researchers within the HUDSEN project, and from the wider scientific community. The HUDSEN human gene expression spatial database is a collaboration between the Institute of Human Genetics in Newcastle, UK, and the MRC Human Genetics Unit in Edinburgh, UK, and was developed as part of the Electronic Atlas of the Developing Human Brain (EADHB) project (funded by the NIH Human Brain Project). The database is based on the Edinburgh Mouse Atlas gene expression database (EMAGE), and is designed to be an openly available resource to the research community holding gene expression patterns during early human development. | embryonic human, anatomy, developmental stage, development, brain, gene expression, optical projection tomography, carnegie stage, in situ hybridization, immunohistochemistry, gene, ontology, anatomical structure, protein expression, embryonic development, annotation, embryo |
is related to: EMAGE Gene Expression Database is related to: Human Developmental Biology Resource has parent organization: HUDSEN |
NIMH 5RO1MH070370; EU FP6 Research Infrastructure Action Structuring the European Research Area Programme contract 011993; Spanish Ministry of Science and Innovation BFU2008-04156; SENECA Foundation contract 04548 �GERM �06-10891 |
PMID:20979583 | Open unspecified license, Acknowledgement requested | nlx_152026 | SCR_006325 | HUDSEN Gene Expression Database | 2026-08-06 09:26:33 | 0 | |||||
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Rat Genome Database (RGD) Resource Report Resource Website 100+ mentions |
Rat Genome Database (RGD) (RRID:SCR_006444) | RGD | storage service resource, service resource, data repository, data or information resource, database | Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources. | RIN, Resource Information Network, mouse, rat, human, gene, qtl, marker, map, strain, sequence, est, genome, ontology, pathway, comparative genomics, physiology, phenotype, disease, model organism, proteomics, function, genetic, genomic, variation, immunology, behavior, knockout, inbred rat strain, mutant, congenic rat, recombinant inbred rat, data analysis service, organism supplier, genotype, gold standard, FASEB list, RRID Community Authority |
uses: InterMOD is used by: ChannelPedia is used by: Resource Identification Portal is used by: DisGeNET is used by: Integrated Animals is used by: NIH Heal Project is recommended by: Resource Identification Portal is listed by: re3data.org is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: Rat Gene Symbol Tracker is related to: MPO is related to: NIF Data Federation is related to: MONARCH Initiative is related to: Vertebrate Trait Ontology is related to: Biositemaps is related to: One Mind Biospecimen Bank Listing is related to: AmiGO is related to: OMICtools is related to: re3data.org is related to: Integrated Manually Extracted Annotation is related to: OntoMate has parent organization: Medical College of Wisconsin; Wisconsin; USA is parent organization of: Diabetes Disease Portal is parent organization of: Rat Strain Ontology is parent organization of: Rat Strain Ontology is parent organization of: Renal Disease Portal is organization facet of: Alliance of Genome Resources |
NHLBI | PMID:23434633 PMID:18996890 PMID:17151068 |
Free, Freely available | nif-0000-00134, r3d100010417, OMICS_01660 | https://doi.org/10.17616/R3WK60 | SCR_006444 | , Rat Genome Database, RGD | 2026-08-06 09:26:36 | 272 |
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