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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: Oct 12, 2019)

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Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
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
GenomEUtwinResource, disease-related portal, topical portal, database, biomaterial supply resource, research forum portal, portal, material resource, data or information resourceTHIS 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, diseaseSCR_002843(GenomEUtwin, RRID:SCR_002843)University of Helsinki; Helsinki; Finland TwinEuropean Unionrelated to: KI Biobank - TwinGene, listed by: One Mind Biospecimen Bank ListingLast checked downnif-0000-25218
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
BovMap DatabaseResource, service resource, data or information resource, data repository, storage service resource, databaseTHIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database containing information on the cattle genome comprising loci list, phenes list, homology query, cattle maps, gene list, and chromosome homology. The objective of BovMap is to develop a set of anchored loci for the cattle genome map. In total, 58 clones were hybridized with chromosomes and identified loci on 22 of the 31 different bovine chromosomes. Three clones contained satellite DNA. Two or more markers were placed on 12 chromosomes. Sequencing of the microsatellites and flanking regions was performed directly from 43 cosmids, as previously reported. Primers were developed for 39 markers and used to describe the polymorphism associated with the corresponding loci. Users are also allowed to summit their own data for Bovmap. An integrated cytogenetic and meiotic map of the bovine genome has also been developed around the Bovmap database. One objective that Bovmap uses as the mapping strategy for the bovine genome uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing.genetic, bovine, cattle, chromosome, clone, cosmid, cow, cytogenetic, dna, genome, homology, locus, meiotic, phene, polymorphism, sequence, map, geneSCR_008145(BovMap Database, RRID:SCR_008145)INRA - French National Institute for Agricultural Research; Paris; France European UnionLast checked downnif-0000-20968
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