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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GoFish Resource Report Resource Website 1+ mentions |
GoFish (RRID:SCR_005682) | GoFish | production service resource, analysis service resource, source code, service resource, software resource, data analysis service | Software program, available as a Java applet online or to download, allows the user to select a subset of Gene Ontology (GO) attributes, and ranks genes according to the probability of having all those attributes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, ontology or annotation browser, java, windows, mac os x, linux, unix, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA |
Aventis Pharmaceuticals ; Howard Hughes Medical Institute ; NHGRI |
PMID:12691998 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:gofish, nlx_149126, OMICS_02272 | http://llama.mshri.on.ca/Software.html https://bio.tools/gofish |
SCR_005682 | 2026-02-17 10:00:57 | 1 | |||||
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Hepatitis C Virus Database (HCVdb) Resource Report Resource Website 1+ mentions |
Hepatitis C Virus Database (HCVdb) (RRID:SCR_005718) | HCVdb, | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms. | hepatitis c, hepatitis c virus, genome, gene, virus, ortholog comparison, ortholog | has parent organization: VBRC | Hepatitis C virus | NIAID contract HHSN266200400036C | nlx_149175 | SCR_005718 | Hepatitis C Viral Database | 2026-02-17 10:00:56 | 4 | ||||||
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CLENCH Resource Report Resource Website 1+ mentions |
CLENCH (RRID:SCR_005735) | CLENCH | software application, source code, software resource, data processing software | Cluster Enrichment (CLENCH) allows A. thaliana researchers to perform automated retrieval of GO annotations from TAIR and calculate enrichment of GO terms in gene group with respect to a reference set. Before calculating enrichment, CLENCH allows mapping of the returned annotations to arbitrary coarse levels using GO slim term lists (which can be edited by the user) and a local installation of GO. Platform: Windows compatible, Linux compatible, | gene, microarray, function, functional categorization, statistical analysis, slimmer-type tool, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: TAIR has parent organization: Stanford Center for Biomedical Informatics Research |
PMID:14764555 | Free for academic use | nlx_149216 | http://www.personal.psu.edu/nhs109/Clench | SCR_005735 | CLENCH - Cluster Enrichment, CLENCH: A program for calculating cluster enrichment using the Gene Ontology, Cluster Enrichment, Cluster Enrichment (CLENCH) | 2026-02-17 10:00:38 | 4 | |||||
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Mammalian Adult Neurogenesis Gene Ontology Resource Report Resource Website 50+ mentions |
Mammalian Adult Neurogenesis Gene Ontology (RRID:SCR_006176) | MANGO | data or information resource, ontology, database, controlled vocabulary | Database of genes concerning adult neurogenesis mapped to cell types and processes that have been curated from the literature. In its present state, the database is restricted to neurogenesis in the hippocampus. | adult neurogenesis, adult, neurogenesis, hippocampus, gene, annotation, cell type, process, FASEB list | has parent organization: Dresden University of Technology; Saxony; Germany | nlx_151684 | SCR_006176 | 2026-02-17 10:01:01 | 63 | |||||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | biospecimen repository, material storage repository, storage service resource, data or information resource, topical portal, disease-related portal, research forum portal, service resource, portal | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-02-17 10:00:46 | 42 | |||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF https://bio.tools/scertf |
http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-02-17 10:01:04 | 19 | |||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-02-17 10:00:52 | 1 | ||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | data or information resource, production service resource, analysis service resource, database, service resource, software resource, source code, data analysis service | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | 2026-02-17 10:01:04 | 0 | |||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-02-17 10:00:51 | 25 | ||||
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NHMRC Australian PhenomeBank Resource Report Resource Website 1+ mentions |
NHMRC Australian PhenomeBank (RRID:SCR_006149) | APB | organism supplier, biomaterial supply resource, cell repository, material resource | The NHMRC Australian PhenomeBank (APB) is a non-profit repository of mouse strains used in Medical Research. The database allows you to search for murine strains, housed or archived in Australia, carrying mutations in particular genes, strains with transgenic alterations and for mice with particular phenotypes. 1876 publicly available strains, 922 genes, 439 transgenes The APB has two roles: Provide and maintain a central database of genetically modified mice held in Australia either live or as cryopreserved material; Establish and maintain a mouse strain archive. Strains are archived as cryopreserved sperm or embryos. | RIN, Resource Information Network, murine, mutation, gene, strain, transgenic, alteration, phenotype, live mouse, sperm, embryo, transgene, database, allele, chromosome, RRID Community Authority |
is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network has parent organization: Australian Phenomics Network works with: International Mouse Strain Resource |
Public | nlx_151640 | http://pb.apf.edu.au/phenbank/foreignPageImport.html?page=http://pbstatic.apf.edu.au:80/phenbank/home.htm | SCR_006149 | Australian Phenome Bank, Phenome Bank, Australian PhenomeBank, NHMRC Australian Phenome Bank, PhenomeBank | 2026-02-17 10:01:04 | 3 | ||||||
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VBRC Resource Report Resource Website 10+ mentions |
VBRC (RRID:SCR_005971) | VBRC | storage service resource, data or information resource, production service resource, analysis service resource, database, service resource, data analysis service, data repository | One of eight Bioinformatics Resource Centers nationwide providing comprehensive web-based genomics resources including a relational database and web application supporting data storage, annotation, analysis, and information exchange to support scientific research directed at viruses belonging to the Arenaviridae, Bunyaviridae, Filoviridae, Flaviviridae, Paramyxoviridae, Poxviridae, and Togaviridae families. These centers serve the scientific community and conduct basic and applied research on microorganisms selected from the NIH/NIAID Category A, B, and C priority pathogens that are regarded as possible bioterrorist threats or as emerging or re-emerging infectious diseases. The VBRC provides a variety of analytical and visualization tools to aid in the understanding of the available data, including tools for genome annotation, comparative analysis, whole genome alignments, and phylogenetic analysis. Each data release contains the complete genomic sequences for all viral pathogens and related strains that are available for species in the above-named families. In addition to sequence data, the VBRC provides a curation for each virus species, resulting in a searchable, comprehensive mini-review of gene function relating genotype to biological phenotype, with special emphasis on pathogenesis. | virus, arenaviridae, bunyaviridae, filoviridae, flaviviridae, paramyxoviridae, poxviridae, togaviridae, blast, ortholog, variation, sequence analysis, genome, gene, epidemiology, bioinformatics resource center, phenotype, pathogenesis, pathogen, annotation, genomics |
has parent organization: University of Alabama at Birmingham; Alabama; USA has parent organization: University of Victoria; British Columbia; Canada is parent organization of: Hepatitis C Virus Database (HCVdb) |
NIAID contract HHSN266200400036C | r3d100012088, nif-0000-03632 | https://doi.org/10.17616/R31M1P | SCR_005971 | Viral Bioinformatics Resource Center | 2026-02-17 10:00:59 | 18 | ||||||
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HFV Database Resource Report Resource Website 1+ mentions |
HFV Database (RRID:SCR_006017) | HFV Database | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | The Hemorrhagic Fever Viruses (HFV) sequence database collects and stores sequence data and provides a user-friendly search interface and a large number of sequence analysis tools, following the model of the highly regarded and widely used Los Alamos HIV database. The database uses an algorithm that aligns each sequence to a species-wide reference sequence. The NCBI RefSeq database is used for this; if a reference sequence is not available, a Blast search finds the best candidate. Using this method, sequences in each genus can be retrieved pre-aligned. Hemorrhagic fever viruses (HFVs) are a diverse set of over 80 viral species, found in 10 different genera comprising five different families: arena-, bunya-, flavi-, filo- and togaviridae. All these viruses are highly variable and evolve rapidly, making them elusive targets for the immune system and for vaccine and drug design. About 55,000 HFV sequences exist in the public domain today. A central website that provides annotated sequences and analysis tools will be helpful to HFV researchers worldwide. | gene, hemorrhagic fever virus, biothreat, virus, sequence, nucleotide sequence, reference sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: RefSeq has parent organization: HIV Databases |
United States Department of Defense contract HDTRA B084498I | PMID:22064861 | biotools:hfv, nlx_151408 | https://bio.tools/hfv | SCR_006017 | HFV Sequence Database, Hemorrhagic Fever Viruses Database, Hemorrhagic Fever Viruses (HFV) Database, LANL hemorrhagic fever virus database, Hemorrhagic Fever Viruses (HFV) Database Project | 2026-02-17 10:00:43 | 1 | |||||
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GWASdb Resource Report Resource Website 10+ mentions |
GWASdb (RRID:SCR_006015) | GWASdb | data access protocol, data or information resource, database, software resource, web service | Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3) | genetic variant, genome-wide association study, functional annotation, disease classification, snp, gene, chromosome region, annotation, pathway, protein-protein interaction, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: GWASrap is related to: Human Phenotype Ontology is related to: IKMB GWAS Association Testing Pipeline is related to: GWAS Quality Control Pipeline is related to: Human Disease Ontology |
University of Hong Kong Small Project Fund 201007176262; Research Grants Council of Hong Kong 781511M; Research Grants Council of Hong Kong 778609M; Research Grants Council of Hong Kong N_HKU752/10; Food and Health Bureau of Hong Kong 10091262; NCI |
PMID:22139925 | biotools:gwasdb, nlx_151404 | https://bio.tools/gwasdb | SCR_006015 | 2026-02-17 10:00:51 | 43 | ||||||
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Federation of International Mouse Resources Resource Report Resource Website 1+ mentions |
Federation of International Mouse Resources (RRID:SCR_006137) | FIMRe | data or information resource, topical portal, portal, community building portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 7, 2022. Federation of International Mouse Resources (FIMRe) is a collaborating group of Mouse Repository and Resource Centers worldwide whose collective goal is to archive and provide strains of mice as cryopreserved embryos and gametes, ES cell lines, and live breeding stock to the research community. Goals of the Federation of International Mouse Resources: * Coordinate repositories and resource centers to: ** archive valuable genetically defined mice and ES cell lines being created worldwide ** meet research demand for these genetically defined mice and ES cell lines * Establish consistent, highest quality animal health standards in all resource centers * Provide genetic verification and quality control for genetic background and mutations * Provide resource training to enhance user ability to utilize cryopreserved resources | embryo, gamete, embryonic stem cell, embryonic stem cell line, live breeding stock, live mouse, resource center, international network, mouse model, human disease, gene, genome, biomaterial supply resource, cell repository, organism supplier, biospecimen repository, mutation, cryopreserved |
is related to: Jackson Laboratory is related to: Mutant Mouse Resource and Research Center is related to: European Mouse Mutant Archive is related to: RIKEN BioResource Center has parent organization: Mouse Genome Informatics (MGI) |
PMID:16688526 | THIS RESOURCE IS NO LONGER IN SERVICE. | nlx_151627 | SCR_006137 | Federation of International Mouse Resources (FIMRe) | 2026-02-17 10:00:52 | 4 | ||||||
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SpliceDisease Resource Report Resource Website 1+ mentions |
SpliceDisease (RRID:SCR_006130) | SpliceDisease | storage service resource, data or information resource, database, service resource, data repository | Curated database of experimentally supported data of RNA Splicing mutation and disease. The RNA Splicing mutations include cis-acting mutations that disrupt splicing and trans-acting mutations that affecting RNA-dependent functions that cause disease. Information such as EntrezGeneID, gene genomic sequence, mutation (nucleotide substitutions, deletions and insertions), mutation location within the gene, organism, detailed description of the splicing mutation and references are also given. Users are able to submit new entries to the database. This database integrating RNA splicing and disease associations would be helpful for understanding not only the RNA splicing but also its contribution to disease. In SpliceDisease database, they manually curated 2337 splicing mutation disease entries involving 303 genes and 370 diseases, which have been supported experimentally in 898 publications. The SpliceDisease database provides information including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference PubMed ID and detailed description for the relationship among gene mutations, splicing defects and diseases. They standardized the names of the diseases and genes and provided links for these genes to NCBI and UCSC genome browser for further annotation and genomic sequences. For the location of the mutation, they give direct links of the entry to the respective position/region in the genome browser. | rna splicing, mutation, disease, gene, genomic sequence, nucleotide substitution, deletion, insertion, mutation location, splicing mutation, nucleotide, disease association, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Peking University; Beijing; China |
National Natural Science Foundation of China 81001481 | PMID:22139928 | The community can contribute to this resource | biotools:splicedisease_db, nlx_151614 | https://bio.tools/splicedisease_db | SCR_006130 | Splice Disease, SpliceDisease Database Site, Splice Disease Database, SpliceDisease Database | 2026-02-17 10:00:45 | 2 | ||||
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Impress Resource Report Resource Website 50+ mentions |
Impress (RRID:SCR_006160) | IMPReSS | narrative resource, data access protocol, international standard specification, data or information resource, software resource, web service, standard specification, experimental protocol | Contains standardized phenotyping protocols essential for the characterization of mouse phenotypes. IMPReSS holds definitions of the phenotyping Pipelines and mandatory and optional Procedures and Parameters carried out and data collected by international mouse clinics following the protocols defined. This allows data to be comparable and shareable and ontological annotations permit interspecies comparison which may help in the identification of phenotypic mouse-models of human diseases. The IMPC (International Mouse Phenotyping Consortium) core pipeline describes the phenotype pipeline that has been agreed by the research institutions. IMPReSS has a SOAP web service machine interface. The WSDL can be accessed here: http://www.mousephenotype.org/impress/soap/server?wsdl | phenotype, phenotyping, adult, embryonic, ontology, enu-induced gene knockout, gene, knockout mouse, ethylnitrosourea |
is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: International Mouse Phenotyping Consortium (IMPC) |
nlx_151661 | SCR_006160 | International Mouse Phenotyping Resource of Standardised Screens, IMPReSS - International Mouse Phenotyping Resource of Standardised Screens | 2026-02-17 10:00:52 | 60 | ||||||||
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cafe variome Resource Report Resource Website 10+ mentions |
cafe variome (RRID:SCR_006162) | Cafe Variome | storage service resource, data or information resource, service resource, data set, data repository | Clearinghouse and exchange portal for gene variant (mutation) data produced by diagnostics laboratories, offering users a portal through which to announce, discover and acquire a comprehensive listing of observed neutral and disease-causing gene variants in patients and unaffected individuals. Cafe Variome is not a ''''database'''' for the hosting/display/release of data, but a shop window for finding data. As such, it holds only core info for each record, and uses this merely to enable holistic searching across resources. Diagnostics laboratories routinely assess DNA samples from patients with various inherited disorders, and so produce a great wealth of data on the genetic basis of disease. Unfortunately, those data are not usually shared with others. To address this gross deficiency, a novel system has been developed that aims to facilitate the automated transfer of diagnostic laboratory data to the wider community, via an internet based Cafe for routinely exchanging genetic variation data. The flow of research data concerning the genetic basis of health and disease is critical to understanding and developing treatments for a range of genetic diseases. Overall, the project aims to lower the barriers and provide incentives for a willing community to share data, and thereby facilitate the broader exploitation of diagnostic laboratory data. Cafe Variome aims to address the above data flow problems by: # Minimizing the effort required to publish variant data # Ensuring attribution for data creators working in diagnostic laboratories Key elements of the project strategy are: * Data publication will be automated by endowing standard analysis tools used by laboratories with an online data submission function. Submissions will be received by a central Internet depot, which will serve as a place where published datasets are advertised, and subsequently discovered by diverse 3rd parties. * Each dataset will be unambiguously linked with the data submitter''''s identity, and systems devised to facilitate citation of published variant datasets so they can be cited in the literature. Data creators will thus be credited for their contributions. Data submitters can use Cafe Variome to simply announce or publicize their data to the world. To enable this, only core, non-identifiable data is submitted to the central repository, enabling users to search and discover records of interest in the source repository. The data are not automatically handed on to the user (unless intended by the submitters). Hence, the concept is used to deal with the challenge of maximally sharing data whilst fully respecting ethico-legal considerations. | phenotype, gene variant, mutation, gene, normal, disease | has parent organization: University of Leicester; Leicester; United Kingdom | Diseased, Healthy | European Union FP7/2007-2013- the GEN2PHEN project | Open access, Restricted access and Linked access | nlx_151664 | SCR_006162 | 2026-02-17 10:00:46 | 11 | ||||||
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Allen Brain Atlas API Resource Report Resource Website 10+ mentions |
Allen Brain Atlas API (RRID:SCR_005984) | Allen Brain Atlas API | software application, data or information resource, topical portal, source code, software resource, portal | API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service | atlas application, expression data, 3d volume, 3d coordinate, gene, reference atlas, connectivity, histology, microarray, brain, rna sequencing, mri, dti, api, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics, ish, high resolution image, nissl, annotation, atlas, image, web service, neuroblast, gene expression, gene, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Allen Mouse Brain Reference Atlas is related to: Allen Developing Mouse Brain Atlas is related to: International Neuroinformatics Coordinating Facility is related to: Brain Explorer Atlas and Teaching Tool is related to: CellTax vignette is related to: Allen Mouse Brain Common Coordinate Framework has parent organization: Allen Institute for Brain Science |
Other/Commercial license License | nlx_151358 | http://www.nitrc.org/projects/incf_allen-brai | SCR_005984 | 2026-02-17 10:00:50 | 13 | |||||||
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GenomEUtwin Resource Report Resource Website 1+ mentions |
GenomEUtwin (RRID:SCR_002843) | GenomEUtwin | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Study of genetic and life-style risk factors associated with common diseases based on analysis of European twins. The population cohorts used in the Genomeutwin study consist of Danish, Finnish, Italian, Dutch, English, Australian and Swedish twins and the MORGAM population cohort. This project will apply and develop new molecular and statistical strategies to analyze unique European twin and other population cohorts to define and characterize the genetic, environmental and life-style components in the background of health problems like obesity, migraine, coronary heart disease and stroke, representing major health care problems worldwide. The participating 8 twin cohorts form a collection of over 0.6 million pairs of twins. Tens of thousands of DNA samples with informed consents for genetic studies of common diseases have already been stored from these population-based twin cohorts. Studies targeted to cardiovascular traits are now being undertaken in MORGAM, a prospective case-cohort study. MORGAM cohorts include approximately 6000 individuals, drawn from population-based cohorts consisting of more than 80 000 participants who have donated DNA samples. | genetic, environment, lifestyle, gene, disease |
is listed by: One Mind Biospecimen Bank Listing is related to: KI Biobank - TwinGene has parent organization: University of Helsinki; Helsinki; Finland |
Twin | European Union | PMID:14624719 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25218 | SCR_002843 | Studies of European Volunteer Twins to Identify Genes Underlying Common Diseases, GenomEUtwin Project, GenomeEUtwin | 2026-02-17 09:59:52 | 1 | ||||
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CYRILLIC Resource Report Resource Website 50+ mentions |
CYRILLIC (RRID:SCR_001823) | Cyrillic | commercial organization, software application, software resource | Software application for pedigree drawing with fully integrated risk analysis and support for industry standard databases (MS Access and Corel Paradox). It is designed for genetic counselors and others who work with patients. Cyrillic 2 draws pedigrees, works with genetic marker data, lets you do haplotyping and allows exports to a range of linkage analysis packages. | gene, genetic, genomic, visual c++, ms-windows, pedigree, linkage analysis, risk analysis, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software |
PMID:1973333 | Free, Available for download, Freely available | nlx_154279, OMICS_00208 | http://www.cyrillicsoftware.com | SCR_001823 | CyrillicSoftware | 2026-02-17 09:59:43 | 52 |
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