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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
European Bioinformatics InstituteOrganization, organization portal, portal, data or information resourceNon-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.organization, academic, bioinformatics, research, service, data, computational, biology, training, database, DNA, proteinSCR_004727(European Bioinformatics Institute, RRID:SCR_004727)European Molecular Biology Laboratory BBSRC, EMBL member states, European Union, Industry Programme partners, NIH, UK Research Councils, Wellcome Trustrelated to: AgedBrainSYSBIO, ProteomeXchange, Open PHACTS, RHEA, TraCeR, used by: Blueprint Epigenome, listed by: re3data.orgLast checked upnlx_72386
GoAnnotatorResource, analysis service resource, data analysis service, service resource, production service resourceA tool for assisting the GO annotation of UniProt entries by linking the GO terms present in the uncurated annotations with evidence text automatically extracted from the documents linked to UniProt entries. Platform: Online tooltext mining, protein, gene ontology, annotationSCR_005792(GoAnnotator, RRID:SCR_005792)University of Lisbon; Lisbon; Portugal European Unionrelated to: Gene Ontology, Universal Protein Resource, listed by: Gene Ontology ToolsPMID:17181854Last checked downnlx_149303
TXTGateResource, analysis service resource, data analysis service, service resource, production service resourceTXTGate is a literature index database and is part of an experimental platform to evaluate (combinations of) information extraction and indexing from a variety of biological annotation databases. It is designed towards the summarization and analysis of groups of genes based on text. By means of tailored vocabularies, selected textual fields and MedLine abstracts of LocusLink and SGD are indexed. Subclustering and links to external resources allow for an in-depth analysis of the resulting term profiles. You need to be registered in order to use the TXTGate application. Platform: Online toolgene, annotation, database, text miningSCR_005812(TXTGate, RRID:SCR_005812)Catholic University of Leuven; Flemish Brabant; Belgium Belgian Federal Science Policy Office, European Union, Fonds voor Wetenschappelijk Onderzoek - Vlaanderen, Instituut voor de aanmoediging van Innovatie door Wetenschap en Technologie Vlaanderen, Research Council K.U. Leuvenrelated to: Gene Ontology, SGD, listed by: Gene Ontology ToolsPMID:15186494Last checked upnlx_149305
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
PRED-TMR2Resource, analysis service resource, data analysis service, service resource, production service resourceA web server that classifies proteins into two classes from their sequences alone: the membrane protein class and the non-membrane protein class. This may be important in the functional assignment and analysis of open reading frames (ORF''s) identified in complete genomes and, especially, those ORF''s that correspond to proteins with unknown function. The network has a simple hierarchical feed-forward topology and a limited number of neurons which makes it very fast. By using only information contained in 11 protein sequences, the method was able to identify, with 100% accuracy, all membrane proteins with reliable topologies collected from several papers in the literature. Applied to a test set of 995 globular, water-soluble proteins, the neural network classified falsely 23 of them in the membrane protein class (97.7% of correct assignment). The method was also applied to the complete SWISS-PROT database with considerable success and on ORF''s of several complete genomes. The neural network developed was associated with the PRED-TMR algorithm (Pasquier,C., Promponas,V.J., Palaios,G.A., Hamodrakas,J.S. and Hamodrakas,S.J., 1999) in a new application package called PRED-TMR2.prediction, transmembrane, protein, algorithm, neural network, classification, transmembrane protein, protein classification, membrane protein, protein structureSCR_006205(PRED-TMR2, RRID:SCR_006205)PRED-TMR European Unionrelated to: DAM-BioPMID:10469822Last checked upnlx_151766
PRED-TMRResource, analysis service resource, data analysis service, service resource, production service resourceA web server that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The algorithm refines a standard hydrophobicity analysis with a detection of potential termini (edges, starts and ends) of transmembrane regions. This allows both to discard highly hydrophobic regions not delimited by clear start and end configurations and to confirm putative transmembrane segments not distinguishable by their hydrophobic composition. The accuracy obtained on a test set of 101 non homologous transmembranes proteins with reliable topologies compares well with that of other popular existing methods. Only a slight decrease in prediction accuracy was observed when the algorithm was applied to all transmembrane proteins of the SwissProt database (release 35).predict, transmembrane segment, protein, algorithm, sequence, membrane protein, protein structure, transmembrane region, hydrophobicity analysisSCR_006203(PRED-TMR, RRID:SCR_006203)University of Athens Biophysics and Bioinformatics Laboratory European Unionrelated to: waveTM, DAM-BioPMID:10360978Last checked upnlx_151765
PRED-CLASSResource, analysis service resource, data analysis service, service resource, production service resourceA system of cascading neural networks that classifies any protein, given its amino acid sequence alone, into one of four possible classes: membrane, globular, fibrous, mixed.classification, protein, fibrous, globular, protein class, membrane, sequence, algorithm, protein classification, neural network, transmembrane, genome annotation, genome-wide analysisSCR_006216(PRED-CLASS, RRID:SCR_006216)University of Athens Biophysics and Bioinformatics Laboratory European Unionrelated to: DAM-BioPMID:11455609Last checked upnlx_151762
orienTMResource, analysis service resource, data analysis service, service resource, production service resourceA computer software that utilizes an initial definition of transmembrane segments to predict the topology of transmembrane proteins from their sequence. It uses position-specific statistical information for amino acid residues which belong to putative non-transmembrane segments derived from a statistical analysis of non-transmembrane regions of membrane proteins stored in the SwissProt database. Its accuracy compares well with that of other popular existing methods.topology, prediction, transmembrane, protein, segment, algorithm, transmembrane proteinSCR_006218(orienTM, RRID:SCR_006218)University of Athens Biophysics and Bioinformatics Laboratory European Unionrelated to: waveTM, DAM-BioPMID:11477216Last checked upnlx_151764
CASTResource, analysis service resource, data analysis service, service resource, production service resourceA novel algorithm for low-complexity region detection and selective masking. The algorithm is based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties. The output of the algorithm is both the masked query sequence for further analysis, e.g. database searches, as well as the regions of low complexity.algorithm, sequence tract, complexity, protein sequenceSCR_000628(CAST, RRID:SCR_000628)University of Athens Biophysics and Bioinformatics Laboratory European Molecular Biology Laboratory; Heidelberg; Germany, European Union, IBM Research, TMR ProrammePMID:11120681Last checked upnlx_151779http://www.ebi.ac.uk/research/cgg/services/cast/
G:ProfilerResource, analysis service resource, software resource, data analysis service, service resource, production service resourceA web-based toolset for functional profiling of gene lists from large-scale experiments. It has a simple web interface with powerful visualization. It currently supports 85 species, including mammals, fungi, plants, insects, etc, from the Ensembl and Ensembl Genomes databases. g:Profiler consists of the following tools: * g:GOSt retrieves most significant Gene Ontology (GO) terms, KEGG and REACTOME pathways, and TRANSFAC motifs to a user-specified group of genes, proteins or microarray probes. g:GOSt also allows analysis of ranked or ordered lists of genes, visual browsing of GO graph structure, interactive visualization of retrieved results, and many other features. Multiple testing corrections are applied to extract only statistically important results. * g:Convert allows conversion between gene or protein names, database IDs and microarray probes of more than 100 types. A mix of various IDs may be presented as input; output options include HTML, text and XLS spreadsheet. * g:Orth retrieves orthologs for a given set of genes, proteins or probes in a selected organism. Graphical representation also shows orthologs present in all g:Profiler organisms. * g:Sorter searches for similar expression profiles to a given gene, protein or probe in a large set of public microarray datasets from the Gene Expression Omnibus (GEO) database. * g:Cocoa provides a compact interface for comparing enrichments of multiple gene lists. Platform: Online toolgene, high-throughput, genomics, visualization, statistical analysis, slimmer-type tool, term enrichment, protein interaction, functional similarity, analysis, coexpression, gene id, network enrichment analysis, orthology mapping, genomic locus, ontology or annotation visualization, other analysis, ortholog, functional profile, gene list, ontology, pathway, transcription factor, microrna, regulatory motif, protein-protein interaction, biomolecule, gene expression, gene, homology, single nucleotide polymorphism, dna polymorphism, chromosome, network analysis, disease gene, rSCR_006809(G:Profiler, RRID:SCR_006809)BIIT - Bioinformatics Algorithmics and Data Mining Group EITSA, ENFIN, ERDF through EXCS funding projects, ETF7437 MEM, European Union, FP6 COBRED, University of Tartu; Tartu; Estoniarelated to: Gene Ontology, Ensembl, Ensembl Genomes, listed by: Gene Ontology Tools, OMICtoolsReferences (2)Last checked upnif-0000-31975, OMICS_02223
EurexpressResource, atlas, expression atlas, data or information resource, image collection, databaseGenome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays.Genome, transcriptome, atlas, RNA, in situ, hybrydization, sagittal, section, developing, mouse, embryo, expression, geneSCR_005093(Eurexpress, RRID:SCR_005093)Telethon Institute of Genetics and Medicine; Naples; Italy Association pour la Recherche sur le Cancer, European Union, Ingenio 2010 MEuropean Union, Max Planck Society, MRC, Swiss National Science Foundation, Telethon Foundation, VI Frameworkrelated to: EMAGE Gene Expression Database, aGEM, listed by: GUDMAP Ontology , NIDDK Information NetworkPMID:21267068Last checked upnif-0000-00243http://www.eurexpress.org/ee/databases/anatomy/treeFrames.jsp
GenePaintResource, atlas, expression atlas, data or information resource, reference atlas, databaseDigital atlas of gene expression patterns in developing and adult mouse. Several reference atlases are also available through this site. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. Sections are available from several developmental ages: E10.5, E14.5 (whole embryos), E15.5, P7 and P56 (brains only). To retrieve expression patterns, search by gene name, site of expression, GenBank accession number or sequence homology. For viewing expression patterns, GenePaint.org features virtual microscope tool that enables zooming into images down to cellular resolution.gene expression, adult mouse, annotated, c57bl6, mouse, mouse embryo, mrna, non radioactive in situ hybridization, light microscopy, molecular neuroanatomy resource, in situ hybridization, embryonic, postnatal, adult, brain, head, annotation, rna probe, sequence, anatomical structureSCR_003015(GenePaint, RRID:SCR_003015)Max Planck Institute for Biophysical Chemistry; Gottingen; Germany BMBF, Burroughs Wellcome Fund, European Union, Max Planck Society, Merck Genome Research Institute, NINDS, Romansky EndowmentReferences (2)Last checked upnif-0000-00009, SCR_017526
Chernobyl Tissue BankResource, biomaterial supply resource, material resourceThe CTB (Chernobyl Tissue Bank) is an international cooperation that collects, stores and disseminates biological samples from tumors and normal tissues from patients for whom the aetiology of their disease is known - exposure to radioiodine in childhood following the accident at the Chernobyl power plant. The main objective of this project is to provide a research resource for both ongoing and future studies of the health consequences of the Chernobyl accident. It seeks to maximize the amount of information obtained from small pieces of tumor by providing multiple aliquots of RNA and DNA extracted from well documented pathological specimens to a number of researchers world-wide and to conserve this valuable material for future generations of scientists. It exists to promote collaborative, rather than competitive, research on a limited biological resource. Tissue is collected to an approved standard operating procedure (SOP) and is snap frozen; the presence or absence of tumor is verified by frozen section. A representative paraffin block is also obtained for each case. Where appropriate, we also collect fresh and paraffin-embedded tissue from loco-regional metastases. Currently we do not issue tissue but provide extracted nucleic acid, paraffin sections and sections from tissue microarrays from this material. The project is coordinated from Imperial College, London and works with Institutes in the Russian Federation (the Medical Radiological Research Centre in Obninsk) and Ukraine (the Institute of Endocrinology and Metabolism in Kiev) to support local scientists and clinicians to manage and run a tissue bank for those patients who have developed thyroid tumors following exposure to radiation from the Chernobyl accident. Belarus was also initially included in the project, but is currently suspended for political reasons.SCR_010662(Chernobyl Tissue Bank, RRID:SCR_010662)Imperial College London; London; United Kingdom Tumor, Normal, Exposure to radioiodine in childhood following the accident at the Chernobyl power plantEuropean Union, NCI, Sasakawa Memorial Health Foundationlisted by: One Mind Biospecimen Bank ListingLast checked upnlx_70828
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-0000-10163http://www.genes2cognition.org/mice_resources/http://www.genes2cognition.org/resources.html
Erasmus MC Tissue BankResource, biomaterial supply resource, service resource, material resource, tissue bankThe Erasmus MC Virtual Tissue Bank is embedded in the department of Pathology. The collection is meant for medical research purposes only. This concerns a typical clinical based pathology biobank. Tissue samples left over from surgical resection specimen are stored under liquid nitrogen and can be requested by Erasmus MC scientists for medical scientific experiments. An application has been developed to enable scientists to search the collection on-line and request tissue samples over the Erasmus MC Intranet. Every request shall be judged according to procedures determined by the Erasmus MC Tissue Bank. A growing need is anticipated for large collections of well-diagnosed fresh frozen tumor tissue and, if available, corresponding pre-malignant and normal tissue samples. Scientific research on patient residual material has to comply with strict rules and regulations. Equipment The Erasmus MC Tissue bank manages the PALM microdissection laser for the center for Biomics, which is available through the center for Biomics ONLY after having followed an introduction course. Additionally, a complete TMA (Tissue Micro Array) platform, fully funded by the Josephine Nefkens Stichting, consisting of a Beecher Automated Tissue Arrayer ATA 27 and a Virtual Microscope or Nanozoomer from Hamamatsu and Medical Solutions with TMA analyses software strongly supports translational research on tissue samples. Complete histologic Images from the Virtual Microscope are available within the Erasmus MC Intranet or available on the Internet either by overview or a direct example.clinical, tumor tissue, tissue, pre-malignant tissue, normal tissue, liquid nitrogen, fresh frozen, frozen, tumorSCR_004945(Erasmus MC Tissue Bank, RRID:SCR_004945)TumorEuropean Unionlisted by: One Mind Biospecimen Bank ListingLast checked downnlx_91504http://www.erasmusmc.nl/pathologie/clinicalpathology/tissuebank/161390/
EuroBioBankResource, biomaterial supply resource, tissue bank, data set, cell repository, material resource, data or information resourceThe EuroBioBank network is the first operating network of biobanks in Europe providing human DNA, cell and tissue samples as a service to the scientific community conducting research on rare diseases. It is the only network dedicated to rare disease research in Europe. By creating a critical mass of collections and facilitating the exchange of biological material, the EuroBioBank network helps accelerate research on these diseases. * Over 440,000 samples are available across the network and can be requested via the online catalogue. Approximately 13,000 samples are collected each year and 7,000 samples distributed in Europe and beyond. The biological samples are obtained from patients affected by rare diseases, including rare neuromuscular disorders. * The EuroBioBank Network is currently composed of 18 members, of which 16 biobanks from 8 European countries (France, Germany, Hungary, Italy, Malta, Slovenia, Spain and the United-Kingdom) as well as Israel and Canada. Goals * Identify and localize biological material of interest to researchers * Build a critical mass of rare disease sample collections * Distribute high quality material and associated data to users * Promote best-practice guidelines for biobanking activities * Disseminate knowledge and know-how to the scientific community through training courses * Enhance collaboration with the medical and scientific community in the field of rare diseases EuroBioBank acts as a clearing house or virtual bank, with all samples listed in the central online catalogue remaining in the possession of the member biobanks, where they are located and can be requested. The network was established by patients and researchers to facilitate research on rare diseases by guaranteeing quick and easy access to samples via an online catalogue. The catalogue lists the samples available throughout the EuroBioBank network by type of biomaterial. A search engine enables a search by disease or by bank contact. Once a sample has been located in the catalogue, it can be requested by email. Therefore, the biological material is exchanged faster. If a sample does not appear in the EuroBioBank catalogue, help can be provided to further search it at: eurobiobank (at) telethon.it Funding and Collaboration Originally funded by the EC between 2003-2006, the EuroBioBank received further EC support between 2007-2011 within the European Network of Excellence TREAT-NMD (FP6), which covered the cost sustained by Eurordis for the network coordination and website hosting. Each biobank of the network is financed by its own Institution or charitable organization. As of January 2012, the Fondazione Telethon provides the administrative support for coordinating the EuroBioBank network and hosting the website.rare disease, catalog, cell, dna, tissue, myoblast, fibroblast, myocyte, cardiomyocyte, epithelial cell, rare disease, rare neuromuscular disorder, myasthenia gravis, inflammatory myopathy, glycogen storage disease, mitochondrial myopathy, muscular dystrophy, malignant hyperthermia, congenital myopathy, myotonic disorder, duchenne dystrophySCR_003599(EuroBioBank, RRID:SCR_003599)Telethon Foundation Rare disease, Rare neuromuscular disorder, Myasthenia gravis, Inflammatory myopathy, Glycogen storage disease, Mitochondrial myopathy, Muscular dystrophy, Malignant hyperthermia, Congenital myopathy, Myotonic disorder, Duchenne dystrophy, Etc.European Union, Treat-NMDrelated to: Treat-NMD, Movement Disorders Biobank, listed by: One Mind Biospecimen Bank Listing, affiliated with: Telethon Network of Genetic BiobanksLast checked upnlx_12526
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
iMITSResource, catalog, data or information resource, databaseSoftware tool for the planning of all IMPC mouse production. Allows IMPC production centers to record the progress of mouse production, cre-excision and to summarise the progress of phenotype data collection and transfer to the IMPC DCC. Stores all the mutation molecular structures made for the IKMC, catalogs of all IKMC products.international, tracking, system, mouse, production, data, store, catalog, phenotype, collection, mutation, molecular, structure, IKMC, IMPCSCR_016552(iMITS, RRID:SCR_016552)European Union, NIHaffiliated with: IMPC, submitted by: Resource Identification PortalLast checked down
EnsemblResource, data analysis service, data access protocol, database, web service, production service resource, analysis service resource, catalog, service resource, software resource, data or information resourceCollection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.collection, genome, dataset, database, vertebrate, eukaryotic, DNA, protein, sequence, search, automaticly, annotate, dataSCR_002344(Ensembl, RRID:SCR_002344)European Bioinformatics Institute , Wellcome Trust Sanger Institute; Hinxton; United Kingdom BBSRC, EMBL, European Union, FP6, FP7, MRC, NHGRI, Wellcome Trustrelated to: Ensembl Genomes, GermOnline, CandiSNPer, Human Splicing Finder, NGS-SNP, Sanger Mouse Resources Portal, DECIPHER, Ensembl Genomes, PeptideAtlas, AnimalTFDB, Bgee: a dataBase for Gene Expression Evolution, FlyMine, Rat Gene Symbol Tracker, UniParc at the EBI, go-db-perl, UniParc, G:Profiler, RIKEN integrated database of mammals, VBASE2, p300db, used by: NIF Data Federation, Animal QTLdb, Monarch Initiative, ChannelPedia, Blueprint Epigenome, HmtPhenome, listed by: OMICtools, Biositemaps, re3data.org, LabWorm, works_with: Genotate, CellPhoneDB, Open Regulatory Annotation DatabaseReferences (2)Last checked upnif-0000-21145, OMICS_01647
FunSimMatResource, data analysis service, data access protocol, production service resource, analysis service resource, database, web service, service resource, software resource, data or information resourceFunSimMat is a comprehensive resource of semantic and functional similarity values. It allows ranking disease candidate proteins for OMIM diseases and searching for functional similarity values for proteins (extracted from UniProt), and protein families (Pfam, SMART). FunSimMat provides several different semantic and functional similarity measures for each protein pair using the Gene Ontology annotation from UniProtKB and the Gene Ontology Annotation project at EBI (GOA). There are several search options available: Disease candidate prioritization: * Rank candidate proteins using any OMIM disease entry * Compare a list of proteins to any OMIM disease entry * Compare all human proteins to any OMIM disease entry Functional similarity: * Compare one protein / protein family to a list of proteins / protein families * Compare a list of GO terms to a list of proteins / protein families Semantic similarity: * For a list of GO terms, FunSimMat performs an all-against-all comparison and displays the semantic similarity values. FunSimMat provides an XML-RPC interface for performing automatic queries and processing of the results as well as a RestLike Interface. Platform: Online toolfunctional similarity value, protein family, protein similarity, semantic similarity value, similarity value, functional similarity, disease gene candidate prioritization, disease, protein, protein family, disease candidate prioritization, semantic similarity, gene ontology, visualization, annotation, database or data warehouseSCR_002729(FunSimMat, RRID:SCR_002729)Max-Planck-Institute for Informatics; Saarbrucken; Germany European Union, German National Genome Research Network, Klinische Forschergrupperelated to: Gene Ontology, listed by: Gene Ontology ToolsReferences (2)Last checked upnif-0000-02860
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