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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
Functional Anatomy of the Cerebro-Cerebellar System (FACCS)Resource, data analysis service, production service resource, analysis service resource, database, service resource, storage service resource, data repository, data or information resourcePublic neuroscience database providing a collection of published data describing structure and structure-function relationships in one of the largest projection systems of the brain: the cerebro-cerebellar system. It also gives access to a suite of tools that allow the user to visualize and analyze any selected combination of data sets. Contact them if you are interested in contributing data. The overall goal is to improve communication of results and permit re-use of previously published data in new contexts. FACCS is a part of the Rat Brain WorkBench, a new research and development project funded by The Research Council of Norway, the Centre for Molecular Biology and Neuroscience, and the European Union. The project is directed by Jan G. Bjaalie, Centre for Molecular Biology and Neuroscience & Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.axonal tracer, axon tracing, brain, cerebellum, cerebral cortex, cerebro-cerebellar function, cerebro-cerebellar structure, cerebro-cerebellar system, injection, injection site, labeled cells, labeled fibers, pontine nuclear complex, pontine nuclei, video, cerebellar cortexSCR_001661(Functional Anatomy of the Cerebro-Cerebellar System (FACCS), RRID:SCR_001661)University of Oslo; Oslo; Norway Centre for Molecular Biology and Neuroscience, European Union, Research Council of NorwayReferences (2)Last checked downnif-0000-02317
Kidney and Urinary Pathway Knowledge BaseResource, data analysis service, production service resource, analysis service resource, data set, service resource, storage service resource, data repository, data or information resourceA collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made.kidney, urinary, urine, pathway, molecule, visualizer, gene, protein, mirna, metabolite, mrna, microarray, ortholog, rdf, renal cell, anatomy, animal model, disease, sparql, proteomics, ontology, biomarker, gene expression, physiology, pathologySCR_001746(Kidney and Urinary Pathway Knowledge Base, RRID:SCR_001746)University of Manchester; Manchester; United Kingdom , National Institute of Health and Medical Research; Rennes; France Kidney diseaseEuropean Union, FP7, ICT-2007.4.4 e-LICO projectrelated to: NIDDK Information Network, Gene Expression Omnibus, Gene Ontology, KEGG, submitted by: NIDDK Information NetworkPMID:21624162Last checked downnlx_154134
JASPARResource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resourceOpen source database of curated, non-redundant set of profiles derived from published collections of experimentally defined transcription factor binding sites for multicellular eukaryotes. Consists of open data access, non-redundancy and quality. JASPAR CORE is smaller set that is non-redundant and curated. Collection of transcription factor DNA-binding preferences, modeled as matrices. These can be converted into Position Weight Matrices (PWMs or PSSMs), used for scanning genomic sequences. Web interface for browsing, searching and subset selection, online sequence analysis utility and suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval.structural class, transcription factor binding site, profile, regulatory region, genome, genomic, matrix, transcription factor, binding site, dnaSCR_003030(JASPAR, RRID:SCR_003030) Karolinska Institutet; Stockholm; Sweden , University of Copenhagen; Copenhagen; Denmark Carlsberg Foundation, EMBRACEa Sixth Framework Network of Excellence, European Union, Novo Nordisk Foundation, Sars Centrerelated to: Babelomics, listed by: OMICtools, re3data.orgReferences (3)Last checked downnif-0000-03061, OMICS_00538http://,
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
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
aneurISTResource, topical portal, production service resource, analysis service resource, data analysis service, standard specification, narrative resource, service resource, portal, knowledge environment, data or information resourceAn IT infrastructure for the management, integration and processing of data associated with the diagnosis and treatment of cerebral aneurysm and subarachnoid hemorrhage. This new paradigm to understand and manage cerebral aneurysms, provides an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments. aneurIST benefits patients with better diagnostics, prevention and treatment because it combines efforts of clinicians and industry. Through research clinicians gain a greater insight in aneurysm understanding, while industry will be dragged by these achievements to develop more suitable medical devices to treat the disease. This infrastructure : * Facilitate clinicians the diagnosis and study of the disease, as a result of providing a seamless access to patient data using data fusion and processing of complex information spanning from the molecular to the personal level. * Provide a better planning and personalization of minimally invasive interventional procedures for patients, after linking modern diagnostic imaging to computational tools. * Collaborate in the development, extension and exploitation of standards and protocols at all project stages. * Share biomedical knowledge providing access to a set of software tools and platforms such as aneuLink, aneuFuse, aneuRisk, aneuEndo, aneuCompute and aneuInfo. * Create awareness through scientific dissemination and collaboration. * Explore the business opportunities directly arising from aneurIST. It intends to provide an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments. Software: * aneuLink will create an IT environment with the goal of establishing a link between genomics and disease. * aneuFuse will fuse diagnostic, modelling and simulation data into a coherent representation of the patient''s condition. * aneuRisk will provide clinicians with a tool to facilitate the personalized risk assessment and guidelines establishment to treat patients. * aneuEndo will develop computational tools to optimize and customize the design of endovascular devices. * aneuInfo will enable access to clinical and epidemiological data distributed in public and project-specific protected databases. * aneuCompute will provide aneurIST with distributed computing capabilities ensuring secure data transport.gene, genetic, adult, cerebral aneurysm, cerebral brain hemorrhage, cerebral hemorrhage, cerebral parenchymal hemorrhage, cerebral hemorrhage, clinical, genomic, human, intracerebral hemorrhage, intracranial aneurysm, subarachnoid hemorrhage, risk, aneurysm rupture, patient, treatment, infrastructure, platform, genomics, disease, personalized risk assessment, bioinformatics, clinical, data management, data integration, data processing, software tool, cerebrumSCR_007427(aneurIST, RRID:SCR_007427)Pompeu Fabra University; Barcelona; Spain Cerebral aneurysm, Subarachnoid hemorrhage, AgingEuropean Union, Sixth FPPriority 2 of the Information Society Technologies ISTLast checked downnif-0000-00538
RNAmmerResource, data analysis service, standalone software, data processing software, data access protocol, production service resource, web service, software application, analysis service resource, service resource, data analysis software, software resourceSoftware package to predict ribosomal RNA genes in full genome sequences by utilising two levels of Hidden Markov Models. Consistent and rapid annotation of ribosomal RNA genes.predict, ribosomal, RNA, gene, full, genome, sequence, HMM, rRNASCR_017075(RNAmmer, RRID:SCR_017075)Technical University of Denmark; Lyngby; Denmark Danish Center for Scientific Computing, EMBIO at the University of Oslo, European Union, Research Council of NorwayPMID:17452365Last checked up
SynGOResource, data analysis service, production service resource, analysis service resource, service resource, ontology, controlled vocabulary, data or information resourceEvidence based, expert curated knowledge base for synapse. Universal reference for synapse research and online analysis platform for interpretation of omics data. Interactive knowledge base that accumulates available research about synapse biology using Gene Ontology annotations to novel ontology terms.Synapse, evidence, curated, base, reference, analysis, omics, data, ontology, gene, annotationSCR_017330(SynGO, RRID:SCR_017330)CERCA Program/Generalitat de Catalunya, European Union, German Federal Ministry of Education and Research, NINDS, Stanley Center for Psychiatric Research at The Broad Institute of MIT and Harvarduses: Gene Ontology, submitted by: Neuroscience Information FrameworkPMID:31171447Last checked up
InteroPorcResource, source code, data analysis service, data analysis software, data processing software, database, analysis service resource, software application, production service resource, service resource, software resource, data or information resourceAutomatic prediction tool to infer protein-protein interaction networks, it is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8. Users can use this page to ask InteroPorc for all species present in Integr8. Some results are already computed and users can run InteroPorc to investigate any other species. Currently, the following databases are processed and merged (with datetime of the last available public release for each database used): IntAct, MINT, DIP, and Integr8.orthology, prediction, protein interaction, tool, sequenced genome, proteinprotein interaction, inferred interaction, molecular interaction, interaction, proteinSCR_002067(InteroPorc, RRID:SCR_002067)CEA; Gif sur Yvette; France European Union, French Atomic Energy Commission, French National Agency of Research, Marie Curie Fellowshiprelated to: Integr8 : Access to complete genomes and proteomes, IntAct, MINT, Database of Interacting Proteins, PSICQUIC RegistryPMID:18508856Last checked upnif-0000-20816
CYGD - Comprehensive Yeast Genome DatabaseResource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resourceThe MIPS Comprehensive Yeast Genome Database (CYGD) aims to present information on the molecular structure and functional network of the entirely sequenced, well-studied model eukaryote, the budding yeast Saccharomyces cerevisiae. In addition, the data of various projects on related yeasts are used for comparative analysis.saccharomyces cerevisiae, yeast, yeast genome, genomeSCR_002289(CYGD - Comprehensive Yeast Genome Database, RRID:SCR_002289)DFG, European Union, Federal Ministry of Education Science Research and Technology, Government of the Brussels Region - Belgiumrelated to: FunSpecPMID:15608217Last checked upnif-0000-02713
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,, 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
BRENDAResource, data analysis service, database, analysis service resource, production service resource, service resource, storage service resource, data repository, data or information resourceMain database of functional biochemical and molecular enzyme data that provides access to seven interconnected databases. It contains 2.7 million manually annotated data on enzyme occurrence, function, kinetics and molecular properties. The majority of the data are manually extracted from the primary literature. Each entry is connected to a reference and the source organism. Enzyme ligands are stored with their structures and can be accessed via their names, synonyms or via a structure search. FRENDA (Full Reference ENzyme DAta) and AMENDA (Automatic Mining of ENzyme DAta) are based on text mining methods and represent a complete survey of PubMed abstracts with information on enzymes in different organisms, tissues or organelles. The supplemental database DRENDA provides more than 910 000 new EC number-disease relations in more than 510 000 references from automatic search and a classification of enzyme-disease-related information. KENDA (Kinetic ENzyme DAta), a new amendment extracts and displays kinetic values from PubMed abstracts. The integration of the EnzymeDetector offers an automatic comparison, evaluation and prediction of enzyme function annotations for prokaryotic genomes. The biochemical reaction database BKM-react contains non-redundant enzyme-catalyzed and spontaneous reactions and was developed to facilitate and accelerate the construction of biochemical models. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. BRENDA provides viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. Furthermore a ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps. The disease text mining part is strongly enhanced. It is possible to submit new, not yet classified enzymes to BRENDA, which then are reviewed and classified by the International Union of Biochemistry and Molecular Biology. A new SBML output format of BRENDA kinetic data allows the construction of organism-specific metabolic models. The enzymes are classified according to the Enzyme Commission list of enzymes. Some 5000 different enzymes are covered. Frequently enzymes with very different properties are included under the same EC number. Although they intend to give a representative overview on the characteristics and variability of each enzyme the Handbook is not a compendium. The reader will have to go to the primary literature for more detailed information. Naturally it is not possible to cover all the numerous literature references for each enzyme (for some enzymes up to 40000) if the data representation is to be concise as is intended. The data collection is being developed into a metabolic network information system with links to Enzyme expression and regulation information. BRENDA SOAP Webservice is available.enzyme, metabolic pathway, protein sequence, protein structure, genome, structure, function, annotation, kinetics, molecular property, occurrence, preparation, application, mutant, variant, pathway, ligand, web service, sequence, substructureSCR_002997(BRENDA, RRID:SCR_002997)Technical University of Braunschweig; Braunschweig; Germany European Unionrelated to: ENZYMEReferences (6)Last checked upnif-0000-30222
PROSITEResource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resourceDatabase of protein families and domains that is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. It is complemented by ProRule, a collection of rules based on profiles and patterns, which increases the discriminatory power of profiles and patterns by providing additional information about functionally and/or structurally critical amino acids. ScanProsite finds matches of your protein sequences to PROSITE signatures. PROSITE currently contains patterns and profiles specific for more than a thousand protein families or domains. Each of these signatures comes with documentation providing background information on the structure and function of these proteins. The database is available via FTP.protein domain, protein family, functional site, protein, structure, function, pattern, profileSCR_003457(PROSITE, RRID:SCR_003457)SIB Swiss Institute of Bioinformatics European Union, FNS, Swiss Federal government through the Federal Office of Education and Sciencelisted by: OMICtoolsReferences (3)Last checked upnif-0000-03351, OMICS_01699,
DTU Center for Biological Sequence AnalysisResource, topical portal, data access protocol, production service resource, analysis service resource, training resource, data analysis service, data set, web service, service resource, portal, software resource, data or information resourceThe Center for Biological Sequence Analysis of the Technical University of Denmark conducts basic research in the field of bioinformatics and systems biology and directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. A large number of computational methods have been produced, which are offered to others via WWW servers. Several data sets are also available. The center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. The on-line prediction services at CBS are available as interactive input forms. Most of the servers are also available as stand-alone software packages with the same functionality. In addition, for some servers, programmatic access is provided in the form of SOAP-based Web Services. The center also educates engineering students in biotechnology and systems biology and offers a wide range of courses in bioinformatics, systems biology, human health, microbiology and nutrigenomics.nucleotide, sequence, amino acid, dna, microarray, molecule, immunology, protein function, protein structure, protein, post-translational, whole genome, sequence analysisSCR_003590(DTU Center for Biological Sequence Analysis, RRID:SCR_003590)Technical University of Denmark; Lyngby; Denmark Danish Center for Scientific Computing, Danish National Research Foundation, Danish Research Councils, European Union, NIH, Novo Nordisk Foundation, Villum Kann Rasmussen FoundationLast checked upnlx_12329
SMARTResource, data analysis service, data access protocol, production service resource, analysis service resource, database, web service, service resource, software resource, data or information resourceSoftware tool for identification and annotation of genetically mobile domains and analysis of domain architectures.extracellular, gene, genetic, genetically, genome, architecture, chromatin, domain, mobile, phyletic, protein, proteome, signaling, structure, taxonomic, tertiarySCR_005026(SMART, RRID:SCR_005026)EMBL - Bork Group European Unionrelated to: Eukaryotic Linear Motif, Conserved Domain Database, GOTaxExplorer, used by: Mutation Annotation and Genomic InterpretationReferences (6)Last checked upnif-0000-03471
TRANSPATHResource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resourceDatabase on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. It can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyzer. Cross-references to important sequence and signature databases such as EMBL/GenBank UniProt/Swiss-Prot InterPro or Ensembl EntrezGene RefSeq are provided. The database is equipped with the tools for data visualization and analysis. It has three modules: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder, which provides several different types of network visualization and hence facilitates understanding; the third is ArrayAnalyzer, which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC, a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes.signal transduction, network analyzer, transcriptional regulator, transcription factor, metabolic pathway, signaling pathway, protein-protein interaction, gene-regulatory pathway, signal transduction pathway, complex, signaling molecule, reaction, molecule, gene, pathway, gene expressionSCR_005640(TRANSPATH, RRID:SCR_005640)BIOBASE Corporation BMBF, European Union, European Union FP6related to: TRANSFAC, GeneTrailReferences (4)Last checked upnif-0000-03580,,
GOTaxExplorerResource, data analysis service, production service resource, analysis service resource, database, service resource, software resource, data or information resourceGOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatiblegene, molecular function, protein family, taxonomy, visualization, functional similarity, semantic similarity, analysis, comparative genomics analysis, comparative genomics, search engine, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, function, other analysisSCR_005720(GOTaxExplorer, RRID:SCR_005720)Max-Planck-Institute for Informatics; Saarbrucken; Germany BMBF, DFG, European Union, German National Genome Research Networkrelated to: Gene Ontology, Universal Protein Resource, NCBI Taxonomy, Pfam, SMART, FSST - Functional Similarity Search Tool, listed by: Gene Ontology ToolsPMID:17346342Last checked upnlx_149179
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
InterProScanResource, data analysis service, data analysis software, data processing software, data access protocol, production service resource, analysis service resource, software application, web service, service resource, software resourceSoftware package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenomeSCR_005829(InterProScan, RRID:SCR_005829)European Bioinformatics Institute Biotechnology and Biological Sciences Research Council, EMBL, European Unionrelated to: Gene Ontology, RARTF, InterPro, LegumeIP, UniProtKB, listed by: Gene Ontology Tools, OMICtoolsReferences (3)Last checked upnlx_149337, OMICS_01479
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