Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

  • Register
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.


Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Preparing word cloud



Type in a keyword to search

Filter by last modified time
See new records

Current Facets and Filters

  • Funding Agency:Wellcome Trust (facet)
  • Website Status : Ascending


Sort alphabetically | Sort by count

Recent searches

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

(last updated: Sep 14, 2019)

Physical Resource or Software Tool Software

120 Results - per page

Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
Genes to Cognition - Biological ResourcesResource, biomaterial supply resource, material resource, organism supplierBiological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline as part of the Genes to Cognition research program are freely-available to interested researchers. Available Transgenic Mouse Lines: *Hras1 (H-ras) knockout,C57BL/6J *Dlg4 (PSD-95) knockout,129S5 *Dlg4 (PSD-95) knockout,C57BL/6J *Dlg3 (SAP102) knockout with hprt mutation,129S5 *Dlg3 (SAP102) knockout (wild-type for hprt,C57BL/6J *Syngap1 (SynGAP) knockout (from 8.24 clone), C57BL/6J *Dlg4 (PSD-95) guanylate kinase domain deletion, C57BL/6J *Ptk2 (FAK) knockout,C57BL/6Jtransgenic, mutant mouse strain, c57bl/6j, 129s5, transgenic mouse line, vector, es cell line, transgenic mouseSCR_001675(Genes to Cognition - Biological Resources, RRID:SCR_001675)University of Edinburgh; Scotland; United Kingdom BBSRC, EPSRC, European Union, Framework Programme, Gatsby Charitable Foundation, Human Frontiers Science Programme, MRC, NSF, Wellcome Trustlisted by: One Mind Biospecimen Bank ListingLast checked downnif-0000-10163
InterMineResource, software resourceAn open source data warehouse system built for the integration and analysis of complex biological data that enables the creation of biological databases accessed by sophisticated web query tools. Parsers are provided for integrating data from many common biological data sources and formats, and there is a framework for adding data. InterMine includes a user-friendly web interface that works "out of the box" and can be easily customized for specific needs, as well as a powerful, scriptable web-service API to allow programmatic access to data.mac os x, unix/linux, windows, javaSCR_001772(InterMine, RRID:SCR_001772)University of Cambridge; Cambridge; United Kingdom Wellcome Trustlisted by: OMICtoolsPMID:24753429Last checked downOMICS_03840
Flybrain at StanfordResource, image analysis software, data processing software, software application, image collection, software resource, data or information resourceProject content including raw image data, neuronal tracings, image registration tools and analysis scripts covering three manuscripts: Comprehensive Maps of DrosophilaHigher Olfactory Centres : Spatially Segregated Fruit and Pheromone Representation which uses single cell labeling and image registration to describe the organization of the higher olfactory centers of Drosophila; Diversity and wiring variability of olfactory local interneurons in the Drosophila antennal lobe which uses single cell labeling to describe the organization of the antennal lobe local interneurons; and Sexual Dimorphism in the Fly Brain which uses clonal analysis and image registration to identify a large number of sex differences in the brain and VNC of Drosophila. Data * Raw Data of Reference Brain (pic, amira) (both seed and average) * Label field of LH and MB calyx and surfaces for these structures * Label field of neuropil of Reference Brain * Traces (before and after registration). Neurolucida, SWC and AmiraMesh lineset. * MB and LH Density Data for different classes of neuron. In R format and as separate amira files. * Registration files for all brains used in the study * MBLH confocal images for all brains actually used in the study (Biorad pic format) * Sample confocal images for antennal lobe of every PN class * Confocal stacks of GABA stained ventral PNs Programs * ImageJ plugins (Biorad reader /writer/Amira reader/writer/IGS raw Reader) * Binary of registration, warp and gregxform (macosx only, others on request) * Simple GUI for registration tools (macosx only at present) * R analysis/visualization functions * Amira Script to show examples of neuronal classes The website is a collaboration between the labs of Greg Jefferis and Liqun Luo and has been built by Chris Potter and Greg Jefferis. The core Image Registration tools were created by Torsten Rohlfing and Calvin Maurer.brain, cell, neuron, neuropil, olfactory, pheromone, confocal image, antennal lobe, axon trace, forum, neuronal tracing, image registration tool, analysis script, single-cell labeling, image registration, mushroom body, lateral horn, olfactory receptor neuronSCR_001877(Flybrain at Stanford, RRID:SCR_001877)Stanford University; Stanford; California Damon Runyon Cancer Research Foundation, NIAAA, NIDCD, Wellcome TrustPMID:17382886Last checked downnif-0000-10437
Wellcome Trust Case Control ConsortiumResource, data or information resourceConsortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, diseaseSCR_001973(Wellcome Trust Case Control Consortium, RRID:SCR_001973)Wellcome Trust Sanger Institute; Hinxton; United Kingdom Bipolar Disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunctionBill and Melinda Gates Foundation, Wellcome Trust, Wellcome Trust Sanger Institute; Hinxton; United Kingdomrelated to: Psychiatric Genomics ConsortiumPMID:17554300Last checked downnif-0000-10551
Genes to Cognition DatabaseResource, data or information resource, databaseDatabase of protein complexes, protocols, mouse lines, and other research products generated from the Genes to Cognition project, a project focused on understanding molecular complexes involved in synaptic transmission in the brain.allele, gene list, mouse line, human disease, phenotyping, plasticity, behavior, proteonomics, brain, cognition, cognition disorder, learning, memory, neuroscience, experimental protocol, synapse proteomics, synapseSCR_002735(Genes to Cognition Database, RRID:SCR_002735)BBSRC, EPSRC, European Union, Framework Programme, Gatsby Charitable Foundation, Human Frontiers Science Programme, MRC, NSF, Wellcome TrustLast checked downnif-0000-02864
International HapMap ProjectResource, narrative resource, data or information resource, experimental protocol, databaseTHIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.genetic variant, disease, genetic sequence, genetic variation, single nucleotide polymorphism, genetic diversity, dna, sequence, catalog, genome, chromosomeSCR_002846(International HapMap Project, RRID:SCR_002846)NCBI Chinese Academy of Sciences, Chinese Ministry of Science and Technology, Delores Dore Eccles Foundation, Genome Canada, Genome Quebec, Hong Kong Innovation and Technology Commission, Japanese Ministry of Education Culture Sports Science and Technology MEXT, National Natural Science Foundation of China, NIH, SNP Consortium, University Grants Committee of Hong Kong, Wellcome Trust, W. M. Keck Foundationrelated to: SNAP - SNP Annotation and Proxy Search, Haploview, NHGRI Sample Repository for Human Genetic Research, DistiLD - Diseases and Traits in LD, SNP at Ethnos, GBrowse, used by: BioSample Database at EBI, listed by: OMICtoolsLast checked downnif-0000-02940, OMICS_00273
ShARMResource, organism supplier, database, biomaterial supply resource, biospecimen repository, tissue bank, service resource, portal, storage service resource, data or information resource, material resource, community building portal, material storage repositoryA not for profit organization to accelerate research into aging by sharing resources: providing access to cost and time effective, aged murine tissue through a biorepository and database of live ageing colonies, as well as promoting the networking of researchers and dissemination of knowledge through its online collaborative environment; MiCEPACE. ShARM will provide valuable resources for the scientific community while helping to reduce the number of animals used in vital research into aging. The biobank of tissue and networking facility will enable scientists to access shared research material and data. By making use of collective resources, the number of individual animals required in research experiments can be minimized. The project also has the added value of helping to reduce the costs of research by connecting scientists, pooling resource and combining knowledge. ShARM works in partnership with MRC Harwell and the Centre for Intergrated Research into Musculoskeletal Ageing (CIMA).data sharing, female, male, gut, heart, kidney, livers, lung, mammary fat, muscle, pancreas, bat, bladder, bone, brain, femur, skin, spleen, thymus, tibia, wat, aged tissue, aged mouse, murine modelSCR_003120(ShARM, RRID:SCR_003120)Aging, Control, Young controlWellcome Trustlisted by: One Mind Biospecimen Bank ListingPMID:24085518Last checked downnlx_156767
Roslin Wellcome Trust Tick Cell BiobankResource, production service resource, biomaterial supply resource, biospecimen repository, material resource, material service resource, service resource, storage service resource, cell repository, training service resource, biomaterial manufacture, material storage repositoryThe world''s largest collection of tick cell lines, enabling scientists to carry out advanced research. This biobank is establishing a collection of all the continuous cell lines derived from ixodid and argasid ticks of medical and veterinary importance available worldwide now and in future. Ticks are blood feeding arthropods which transmit many human and animal diseases. Research into prevention and cure of these diseases, which are caused by viruses, bacteria and protozoa, is greatly assisted by the use of cell culture systems which enable study of both how tick cells function, and how and why ticks transmit these disease-causing pathogens. Cell lines will always be shipped to recipient laboratories as growing cultures, since we cannot guarantee successful resuscitation of frozen stabilates. Tick cells in culture can tolerate the range of temperatures experienced during transit by air for up to a week. Training: We will provide training in tick cell line care and maintenance. This is an essential component of successful transfer of tick cells to, and their establishment in, laboratories with little or no previous experience of tick cell culture. Recipient scientists (preferably the person who will actually look after the cells) can visit the biobank for between 2 days and 2 weeks, depending on their level of previous experience, to be trained in the specific approach and methods for tick cell cultivation. Establishment of new cell lines: In response to requests and on receipt of suitable starting material (engorged female or moulting nymphal ticks), we will attempt to establish new cell lines from tick species or strains which are not already represented in the collection. Deposition of new tick cell lines: We invite researchers anywhere in the world who have established new tick cell lines to deposit samples for safekeeping free of charge and, if requested, for distribution alongside the existing biobank portfolio.SCR_004228(Roslin Wellcome Trust Tick Cell Biobank, RRID:SCR_004228)University of Edinburgh; Scotland; United Kingdom Wellcome Trustlisted by: One Mind Biospecimen Bank ListingLast checked downnlx_24657
HapMap 3 and ENCODE 3Resource, data or information resource, databaseDraft release 3 for genome-wide SNP genotyping and targeted sequencing in DNA samples from a variety of human populations (sometimes referred to as the HapMap 3 samples). This release contains the following data: * SNP genotype data generated from 1184 samples, collected using two platforms: the Illumina Human1M (by the Wellcome Trust Sanger Institute) and the Affymetrix SNP 6.0 (by the Broad Institute). Data from the two platforms have been merged for this release. * PCR-based resequencing data (by Baylor College of Medicine Human Genome Sequencing Center) across ten 100-kb regions (collectively referred to as ENCODE 3) in 712 samples. Since this is a draft release, please check this site regularly for updates and new releases. The HapMap 3 sample collection comprises 1,301 samples (including the original 270 samples used in Phase I and II of the International HapMap Project) from 11 populations, listed below alphabetically by their 3-letter labels. Five of the ten ENCODE 3 regions overlap with the HapMap-ENCODE regions; the other five are regions selected at random from the ENCODE target regions (excluding the 10 HapMap-ENCODE regions). All ENCODE 3 regions are 100-kb in size, and are centered within each respective ENCODE region. The HapMap 3 and ENCORE 3 data are downloadable from the ftp site.human, gene, genotype, sequence, single nucleotide polymorphism, dna, softwareSCR_004563(HapMap 3 and ENCODE 3, RRID:SCR_004563)Baylor University; Texas; USA NHGRI, NIDCD, Wellcome Trustrelated to: NHGRI Sample Repository for Human Genetic Research, listed by: 3DVCLast checked downnlx_143820
Expression ProfilerResource, analysis service resource, data analysis service, service resource, production service resourceTHIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice.other analysis, cluster, analysis, visualization, gene expression, genomic, gene ontology, gene association, microarray, protein-protein interaction, geneSCR_005821(Expression Profiler, RRID:SCR_005821)European Bioinformatics Institute Estonian Science Foundation, European Union, Wellcome Trustrelated to: Gene Ontology, listed by: Gene Ontology ToolsPMID:15215431Last checked downnlx_149323
Sanger Mouse Resources PortalResource, database, biomaterial supply resource, production service resource, material service resource, service resource, cell repository, material resource, biomaterial manufacture, data or information resourceDatabase of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen.bacterial artificial chromosome, vector, embryonic stem cell, mutant mouse line, phenotype, 129s7, c57bl6/j, gene, knockout, gene expression, genetics, chromosome, mutant, mouse line, mammal, marker symbolSCR_006239(Sanger Mouse Resources Portal, RRID:SCR_006239)Wellcome Trust Sanger Institute; Hinxton; United Kingdom European Union, NCRR, NHGRI, Wellcome Trustrelated to: Ensembl, Monarch Initiative, listed by: One Mind Biospecimen Bank ListingLast checked downnlx_151819
Genes to Cognition: Neuroscience Research ProgrammeResource, blog, topical portal, software application, narrative resource, portal, software resource, training material, data or information resourceA neuroscience research program that studies genes, the brain and behavior in an integrated manner, established to elucidate the molecular mechanisms of learning and memory, and shed light on the pathogenesis of disorders of cognition. Central to G2C investigations is the NMDA receptor complex (NRC/MASC), that is found at the synapses in the central nervous system which constitute the functional connections between neurons. Changes in the receptor and associated components are thought to be in a large part responsible for the phenomenon of synaptic plasticity, that may underlie learning and memory. G2C is addressing the function of synapse proteins using large scale approaches combining genomics, proteomics and genetic methods with electrophysiological and behavioral studies. This is incorporated with computational models of the organization of molecular networks at the synapse. These combined approaches provide a powerful and unique opportunity to understand the mechanisms of disease genes in behavior and brain pathology as well as provide fundamental insights into the complexity of the human brain. Additionally, Genes to Cognition makes available its biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline. The resources are freely-available to interested researchers.electrophysiological, es cell, functional, gene, gene-target vector, genetic, 1295s, allele, antibody, behavior, behavioral, brain, c57bl/6j, central nervous system, clone, cognition, computation, connection, deletion, disease, disorder, dlg3, dlg4, domain, genomic, guanylate kinase, hprt gene, hras1, human, knockout, learning, mechanism, memory, model, molecular, mouse, mutation, network, neuron, neuroscience, nmda receptor complex, pathogenesis, phenotyping, protein, proteomics, ptk2, strain, synapse, synaptic plasticity, syngap1, transgenic, modelSCR_007121(Genes to Cognition: Neuroscience Research Programme, RRID:SCR_007121)Wellcome Trust Sanger Institute; Hinxton; United Kingdom BBSRC, EPSRC, European Union, Framework Programme, Gatsby Charitable Foundation, Human Frontiers Science Programme, MRC, NSF, Wellcome Trustlisted by: 3DVCLast checked downnif-0000-10235
RfamResource, data analysis service, database, analysis service resource, production service resource, service resource, data or information resourceThe Rfam database is a collection of RNA families, each represented by multiple sequence alignments, consensus secondary structures and covariance models (CMs). The families in Rfam break down into three broad functional classes: Non-coding RNA genes, structured cis-regulatory elements and self-splicing RNAs. Typically these functional RNAs often have a conserved secondary structure which may be better preserved than the RNA sequence. The CMs used to describe each family are a slightly more complicated relative of the profile hidden Markov models (HMMs) used by Pfam. CMs can simultaneously model RNA sequence and the structure in an elegant and accurate fashion. Rfam is also available via FTP. You can find data in Rfam in various ways... * Analyze your RNA sequence for Rfam matches * View Rfam family annotation and alignments * View Rfam clan details * Query Rfam by keywords * Fetch families or sequences by NCBI taxonomy * Enter any type of accession or ID to jump to the page for a Rfam family, sequence or genomefamily, genome, clan, structure, non-coding rnaSCR_007891(Rfam, RRID:SCR_007891)Wellcome Trust Sanger Institute; Hinxton; United Kingdom Howard Hughes Medical Institute, University of Manchester; Manchester; United Kingdom, Wellcome TrustPMID:21062808Last checked downnif-0000-03402
Africa Centre for Health and Population StudiesResource, data set, data or information resourceLongitudinal datasets of demographic, social, medical and economic information from a rural demographic in northern KwaZulu-Natal, South Africa where HIV prevalence is extremely high. The data may be filtered by demographics, years, or by individuals questionnaires. The datasets may be used by other researchers but the Africa Centre requests notification that anyone contact them when downloading their data. The datasets are provided in three formats: Stata11 .dta; tables in a MS-Access .accdb database; and worksheets in a MS-Excel .xlsx workbook. Datasets are generated approximately every six months containing information spanning the whole period of surveillance from 1/1/2000 to present.medicine, hiv infection, economic, demography, biology, social, longitudinalSCR_008964(Africa Centre for Health and Population Studies, RRID:SCR_008964)University of KwaZulu-Natal; Durban; South Africa HIVAgence Nationale de Recherches sur le Sida et les Hepatites Virales, CIDA, CSIR, Department for International Development, EDCTP, National Research Foundation, South African MRC, UNFPA, USAID, Wellcome Trustlisted by:, DataCiteLast checked downnlx_152006
eVOCResource, ontology, data or information resource, controlled vocabularyTHIS RESOURCE IS NO LONGER SUPPORTED, documented September 6, 2016. Set of orthogonal controlled vocabularies that unifies gene expression data by facilitating a link between the genome sequence and expression phenotype information. The system associates labelled target cDNAs for microarray experiments, or cDNA libraries and their associated transcripts with controlled terms in a set of hierarchical vocabularies. eVOC consists of four orthogonal controlled vocabularies suitable for describing the domains of human gene expression data including Anatomical System, Cell Type, Pathology and Developmental Stage. The four core eVOC ontologies provide an appropriate set of detailed human terms that describe the sample source of human experimental material such as cDNA and SAGE libraries. These expression terms are linked to libraries and transcripts allowing the assessment of tissue expression profiles, differential gene expression levels and the physical distribution of expression across the genome. Analysis is currently possible using EST and SAGE data, with microarray data being incorporated. The eVOC data is increasingly being accepted as a standard for describing gene expression and eVOC ontologies are integrated with the Ensembl EnsMart database, the Alternate Transcript Diversity Project and the UniProt Knowledgebase. Several groups are currently working to provide shared development of this resource such that it is of maximum use in unifying transcript expression information.mouse, mapping, cdna, development, microarray, expression, expressed sequence, anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation, treatment, gene expression, genome sequence, expression phenotype, genome, sequence, phenotype, anatomical system, cell type, pathology, anatomySCR_010704(eVOC, RRID:SCR_010704)University of the Western Cape; Bellville; South Africa European Union, South African Department of Arts Culture Science and Technology, South African National Research Foundation, Wellcome Trustrelated to: OBO, Bgee: a dataBase for Gene Expression EvolutionPMID:12799354Last checked downnlx_84448
BioMart MartViewResource, data set, web service, software resource, data access protocol, data or information resourceA web server interface of BioMart software and provides a unified view over disparate data sources that enable bioscientists to retrieve data from one or multiple sources in a simple and efficient way. This MartView web server features seamless data federation making cross querying of data sources in a user friendly and unified way. Data sources include major biomolecular sequence, pathway and annotation databases such as Ensembl, Uniprot, Reactome, HGNC, Wormbase, etc. The web server not only provides access through a web interface, it also supports programmatic access through a Perl API as well as RESTful and SOAP oriented web standardSCR_010714(BioMart MartView, RRID:SCR_010714)EMBL, European Union FP6, Ontario Institute for Cancer Research, Wellcome TrustReferences (2)Last checked downnlx_89178
EvidenceFinderResource, software resource, web applicationA web application to assist in the identification of articles and research related to literature search terms. The search covers full text articles in the Europe PMC repository. Relevant papers are suggested to users based on the scientific term searched and the selection of questions, generated by the application, relevant to term searched.web application, software resource, literature searchSCR_013764(EvidenceFinder, RRID:SCR_013764)Europe PubMed Central Wellcome Trustrelated to: Connected Researchers, Europe PubMed Central, used by: Europe PubMed Central, listed by: Connected ResearchersDOI:10.1093/nar/gku1061Last checked down
GENCODEResource, project portal, dataset, portal, data or information resourceHuman and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.human, mouse, genome, annotation, sequence, gene featuresSCR_014966(GENCODE, RRID:SCR_014966)NHGRI, Wellcome Trustaffiliated with: ENCODE - Encyclopedia of DNA ElementsPMID:22955987Last checked down
Open TrialsResource, data or information resource, databaseDatabase that contains data such as registry entries, portions of regulatory documents describing individual trials, structured data on methods and results, and researchers and papers from and/or related to clinical trials. The initiative aims to locate, match, and share all publicly accessible data and documents, on all trials conducted, on all medicines and other treatments, globally.clinical trial, clinical trial database, clinical trial data, open databaseSCR_015570(Open Trials, RRID:SCR_015570)University of Oxford; Oxford; United Kingdom Laura and John Arnold Foundation, Wellcome Trust, West of England Academic Health Science Network, World Health OrganisationLast checked down
FLIMfitResource, software resource, software application, software toolkitSoftware package for quantitative analysis of large Fluorescence Lifetime Imaging Microscopy (FLIM) data, including global analysis. It is able to routinely analyse multi-well plate FLIM datasets on conventional PC workstations in a reasonable time.fluorescence, lifetime, imaging, microscopy, dataset, global, analysis, multiwell, plate, routineSCR_016298(FLIMfit, RRID:SCR_016298)United Kingdom Biotechnology and Biological Sciences Research Council, United Kingdom Technology Strategy Board, Wellcome TrustDOI:10.1371/journal.pone.0070687, PMID:23940626Last checked down
  1. RRID Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Collections

    If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  6. Facets

    Here are the facets that you can filter the data by.

  7. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.