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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: Sep 14, 2019)

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Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
pSTIINGResource, data or information resource, databaseA publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, geneSCR_002045(pSTIING, RRID:SCR_002045)University College London; London; United Kingdom Inflammation, Tumor, Cancerrelated to: Gene Ontology, listed by: OMICtoolsPMID:16381926Last checked downOMICS_01916
Developmental Therapeutics ProgramResource, topical portal, service resource, portal, funding resource, data or information resourcePortal for preclinical information and research materials, including web-accessible data and tools, NCI-60 Tumor Cell Line Screen, compounds in vials and plates, tumor cells, animals, and bulk drugs for investigational new drug (IND)-directed studies. DTP has been involved in the discovery or development of more than 70 percent of the anticancer therapeutics on the market today, and will continue helping the academic and private sectors to overcome various therapeutic development barriers, particularly through supporting high-risk projects and therapeutic development for rare cancers. Initially DTP made its drug discovery and development services and the results from the human tumor cell line assay publicly accessible to researchers worldwide. At first, the site offered in vitro human cell line data for a few thousand compounds and in vitro anti-HIV screening data for roughly 42,000 compounds. Today, visitors can find: * Downloadable in vitro human tumor cell line data for some 43,500 compounds and 15,000 natural product extracts * Results for 60,000 compounds evaluated in the yeast assay * In vivo animal model results for 30,000 compounds * 2-D and 3-D chemical structures for more than 200,000 compounds * Molecular target data, including characterizations for at least 1,200 targets, plus data from multiple cDNA microarray projects In addition to browsing DTP's databases and downloading data, researchers can request individual samples or sets of compounds on 96-well plates for research, or they can submit their own compounds for consideration for screening via DTP's online submission form. Once a compound is submitted for screening, researchers can follow its progress and retrieve data using a secure web interface. The NCI has collected information on almost half a million chemical structures in the past 50 years. DTP has made this information accessible and useful for investigators through its 3-D database, a collection of three-dimensional structures for more than 200,000 drugs. Investigators use the 3-D database to screen compounds for anticancer therapeutic activity. Also available on DTP's website are 127,000 connection tables for anticancer agents. A connection table is a convenient way of depicting molecular structures without relying on drawn chemical structures. As unique lists of atoms and their connections, the connection tables can be indexed and stored in computer databases where they can be used for patent searches, toxicology studies, and precursor searching, for example.cell line, drug discovery, drug development, drug, treatment, therapy, biopharmaceutical, bortezomib, paclitaxel, romidepsin, eribulin, sipuleucel-t, anticancer therapeutic, compound, natural product extract, animal model, in vivo, in vitro, chemical structure, chemical, structure, anti-hiv, anticancer, molecular structure, database, chemotherapeutic agent, testing, drug synthesis, chemistry, grant, contract, information technology, molecular pharmacology, natural product, pharmaceutical, screening technology, toxicology, pharmacology, screeningSCR_003057(Developmental Therapeutics Program, RRID:SCR_003057)National Cancer Institute Cancer, TumorNCIrelated to: Integrated Cell Lines, used by: NIF Data FederationLast checked downnif-0000-30447
PhenomeBLAST OntologyResource, ontology, data or information resource, controlled vocabularyA cross-species phenotype and anatomy ontology resulting from combining available anatomy and phenotype ontologies and their definitions. The ontology includes phenotype definitions for yeast, mouse, fish, worm, fly and human phenotypes and diseases.owlSCR_005139(PhenomeBLAST Ontology, RRID:SCR_005139)listed by: BioPortalLast checked downnlx_157549
phenomeNETResource, source code, data analysis service, database, analysis service resource, production service resource, service resource, software resource, data or information resourcePhenomeNet is a cross-species phenotype similarity network. It contains the experimentally observed phenotypes of multiple species as well as the phenotypes of human diseases. PhenomeNet provides a measure of phenotypic similarity between the phenotypes it contains. The latest release (from 22 June 2012) contains 124,730 complex phenotype nodes taken from the yeast, fish, worm, fly, rat, slime mold and mouse model organism databases as well as human disease phenotypes from OMIM and OrphaNet. The network is a complete graph in which edge weights represent the degree of phenotypic similarity. Phenotypic similarity can be used to identify and prioritize candidate disease genes, find genes participating in the same pathway and orthologous genes between species. To compute phenotypic similarity between two sets of phenotypes, we use a weighted Jaccard index. First, phenotype ontologies are used to infer all the implications of a phenotype observation using several phenotype ontologies. As a second step, the information content of each phenotype is computed and used as a weight in the Jaccard index. Phenotypic similarity is useful in several ways. Phenotypic similarity between a phenotype resulting from a genetic mutation and a disease can be used to suggest candidate genes for a disease. Phenotypic similarity can also identify genes in a same pathway or orthologous genes. PhenomeNet uses the axioms in multiple species-dependent phenotype ontologies to infer equivalent and related phenotypes across species. For this purpose, phenotype ontologies and phenotype annotations are integrated in a single ontology, and automated reasoning is used to infer equivalences. Specifically, for every phenotype, PhenomeNet infers the related mammalian phenotype and uses the Mammalian Phenotype Ontology for computing phenotypic similarity. Tools: * PhenomeBLAST - A tool for cross-species alignments of phenotypes * PhenomeDrug - method for drug-repurposingphenotype, disease, gene, genotype, allele, model organism, human disease, candidate disease gene, pathway, orthologous gene, ortholog, ontology, semantic similarity, mutant phenotype, disease pathway, alignment, pharmacogenomics, drugSCR_006165(phenomeNET, RRID:SCR_006165)University of Cambridge; Cambridge; United Kingdom BBSRC, European Union 7th FPRICORDO project, NHGRIrelated to: OMIM, Orphanet, PharmGKB, MPOPMID:21737429Last checked downnlx_151667
COMPARTMENTS Subcellular localization databaseResource, data or information resource, databaseWeb resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell.subcellular localization databaseSCR_015561(COMPARTMENTS Subcellular localization database, RRID:SCR_015561)CSIRO Computation and Simulation Sciences, CSIRO Office of the Chief Executive, EMBL International PhD Programme, Luxembourg Centre for Systems Biomedicine, Novo Nordisk Foundation Center for Protein Researchsubmitted by: Resource Identification PortalLast checked down
BSA4YeastResource, data analysis service, data access protocol, production service resource, analysis service resource, web service, service resource, software resourceWeb application for Quantitative Trait Loci mapping via bulk segregant analysis of yeast sequencing data. Application provides automated data processing, annotations, and web interface to explore identified QTLs.quantitative, trait, loci, mapping, bulk, segregant, analysis, yeast, sequencing, data, processing, annotationSCR_017113(BSA4Yeast, RRID:SCR_017113)University of Luxembourg; Luxembourg; Luxembourg Fonds Nationale de la Recherche (FNR) LuxembourgLast checked down
MOPED - Model Organism Protein Expression Database Resource, data analysis service, resource, production service resource, analysis service resource, database, service resource, data or information resourceAn expanding multi-omics resource that enables rapid browsing of gene and protein expression information from publicly available studies on humans and model organisms. MOPED also serves the greater research community by enabling users to visualize their own expression data, compare it with existing studies, and share it with others via private accounts. MOPED uniquely provides gene and protein level expression data, meta-analysis capabilities and quantitative data from standardized analysis utilizing SPIRE (Systematic Protein Investigative Research Environment). Data can be queried for specific genes and proteins; browsed based on organism, tissue, localization and condition; and sorted by false discovery rate and expression. MOPED links to various gene, protein, and pathway databases, including GeneCards, Entrez, UniProt, KEGG and Reactome. The current version of MOPED (MOPED 2.5) The current version of MOPED (MOPED 2.5, 2014) contains approximately 5 million total records including ~260 experiments and ~390 conditions.protein expression, gene expression, model organism, gene, protein, pathway, proteomics, transcriptomics, data visualization, overlap plot, heatmap, dot plot, data sharing, protein localization, gene localizationSCR_006065( MOPED - Model Organism Protein Expression Database , RRID:SCR_006065)NIDDK, NIGMS, NSF, Robert B McMillen Foundationrelated to: GeneCards, Universal Protein Resource, KEGG, Reactome, Monarch InitiativeReferences (2)Last checked downnlx_151470
Maitreya Dunham's LabResource, portal, data or information resourceA portal for Maitreya Dunham's lab, which works on the genomic analysis of experimental evolution in yeast using microarrays and the chemostat. Research interests of the lab include experimental evolution of genetic networks in yeast, aneuploidy and copy number variation, comparative genomics, technology development and human genetics in yeast.seattle, washington, maitreya dunham, lab, yeast, genomic, microarray, chemostat, copy number variation, human, genetics, technologySCR_000784(Maitreya Dunham's Lab, RRID:SCR_000784)University of Washington; Seattle; USA Howard Hughes Medical Institute, Lewis-Sigler Institute, NIHLast checked upnif-0000-30476
ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasetsResource, data set, data or information resourceRNA-seq gene count datasets built using the raw data from 18 different studies. The raw sequencing data (.fastq files) were processed with Myrna to obtain tables of counts for each gene. For ease of statistical analysis, they combined each count table with sample phenotype data to form an R object of class ExpressionSet. The count tables, ExpressionSets, and phenotype tables are ready to use and freely available. By taking care of several preprocessing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward.rna-seq, gene count, gene, phenotype, rSCR_001774(ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets, RRID:SCR_001774)SourceForge , Johns Hopkins Bloomberg School of Public Health; Maryland; USA NIGMSrelated to: Myrna, listed by: OMICtoolsPMID:22087737Last checked upOMICS_01953
Arabidopsis Nucleolar Protein DatabaseResource, image, data or information resource, databaseDatabase of proteins found in the nucleoli of Arabidopsis, identified through proteomic analysis. The Arabidopsis Nucleolar Protein database (AtNoPDB) provides information on the plant proteins in comparison to human and yeast proteins, and images of cellular localizations for over a third of the proteins. A proteomic analysis was carried out of nucleoli purified from Arabidopsis cell cultures and to date 217 proteins have been identified. Many proteins were known nucleolar proteins or proteins involved in ribosome biogenesis. Some proteins, such as spliceosomal and snRNP proteins, and translation factors, were unexpected. In addition, proteins of unknown function which were either plant-specific or conserved between human and plant, and proteins with differential localizations were identified.image, plant protein, plant, protein, homologue, blast, human proteome, orthologue, human, yeast, cell culture, blast, nucleolar proteinSCR_001793(Arabidopsis Nucleolar Protein Database, RRID:SCR_001793)James Hutton Institute; Scotland; United Kingdom BBSRC, Scottish Executive Environment and Rural Affairs DepartmentPMID:15608277Last checked upnif-0000-02562
Candida Genome DatabaseResource, service resource, data or information resource, data repository, storage service resource, databaseDatabase of genetic and molecular biological information about Candida albicans, a yeast that is an opportunistic pathogen of humans, and about other Candida-related species, such as Candida glabrata. It contains information about genes and proteins; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information. Each CGD gene or open reading frame has an individual Locus Page. Genetic loci that are not tied to a DNA sequence also have Locus Pages. The Locus Page is the central clearinghouse for all information specific to that gene and tools for its analysis, including: * gene name, synonyms, and systematic name * Gene Ontology (GO) annotations * descriptions of the gene and gene product * phenotype of mutations in the gene * chromosomal and contig coordinates * interactive graphical chromosome map and browsing tool * tools for retrieval and analysis of the gene and protein sequences * a curated collection of literature CGD also provides a Gene Ontology, GO, to all its users. GO is a collaborative project involving CGD and other model organism databases to provide controlled vocabularies that are used to describe the molecular function and cellular location of gene products and the biological process in which they are involved. The three ontologies that comprise GO (Molecular Function, Cellular Component, and Biological Process) are used by multiple databases to annotate gene products, so that this common vocabulary can be used to compare gene products across species. The development of the ontologies is ongoing in order to incorporate new information. Data submissions are welcome.protein, chromosome, classification, gene, genome, candidiasis, thrush, yeast, yeast gene, yeast genome, candida albicans, candida glabrata, data analysis service, biological role, molecular function, subcellular localization, chromosome sequenceSCR_002036(Candida Genome Database, RRID:SCR_002036)Stanford University School of Medicine; California; USA NIDCRrelated to: AmiGO, ASPGD, Gene Ontology, used by: NIF Data FederationPMID:19808938Last checked upnif-0000-02634
Protein LoungeResource, data analysis service, database, analysis service resource, production service resource, narrative resource, service resource, training material, data or information resourceComplete siRNA target database, complete Peptide-Antigen target database and a Kinase-Phosphatase database. They have also developed the largest database of illustrated signal transduction pathways, which are interconnected to their extensive protein database and online gene / protein analysis tools. The interactive web-based databases and software help life-scientists understand the complexity of systems biology. Systems biology efforts focus on understanding cellular networks, protein interactions involved in cell signaling, mechanisms of cell survival and apoptosis leading to development or identification of drug candidates against a variety of diseases. In the post-genomic era, one of the major concerns for life-science researchers is the organization of gene / protein data. Protein Lounge has met this concern by organizing all necessary data about genes / proteins into one portal.gene, antigen, bioinformatics, kinase, life science, peptide, phosphatase, signal transduction pathway, sirna, systems biology, protein, biology, cellular network, protein interaction, cell signaling, cell survival, apoptosis, peptide-antigen, kinase-phosphatase, image, pathwaySCR_002117(Protein Lounge, RRID:SCR_002117)Last checked upnif-0000-20903
ConsensusPathDBResource, data or information resource, databaseAn integrative interaction database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabolic and signaling reactions and gene regulatory interactions are integrated in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. With human, yeast and mouse complex functional interactions, it currently constitutes the most comprehensive publicly available interaction repository for these species. Different ways of utilizing these integrated interaction data, in particular with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways is offered.gene regulatory network, pathway, gene regulatory network, molecular interaction, interaction, gene regulation, protein interaction, genetic interaction, biochemical reaction, drug-target interaction, molecule, visualization, gene, protein, complex, metaboliteSCR_002231(ConsensusPathDB, RRID:SCR_002231)Max Planck Institute for Molecular Genetics; Berlin; Germany European Unionrelated to: BIND, BioCarta Pathways, BioGRID, CORUM, Database of Interacting Proteins, DrugBank, HPRD - Human Protein Reference Database, HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism, Integrating Network Objects with Hierarchies, InnateDB, IntAct, KEGG, MINT, MIPS Mammalian Protein-Protein Interaction Database, MatrixDB, NetPath, Research Collaboratory for Structural Bioinformatics Protein Data Bank, PDZBase, Pathway Interaction Database, PIG - Pathogen Interaction Gateway, PINdb, PharmGKB, PhosphoPOINT, PhosphoSitePlus: Protein Modification Site, Reactome, Small Molecule Pathway Database, SignaLink, SPIKE, Therapeutic Target Database, WikiPathways, listed by: OMICtoolsReferences (4)Last checked upnif-0000-02684, OMICS_01903
GenevestigatorResource, data analysis service, commercial organization, database, analysis service resource, production service resource, service resource, data or information resourceA high performance search engine for gene expression that integrates thousands of manually curated public microarray and RNAseq experiments and nicely visualizes gene expression across different biological contexts (diseases, drugs, tissues, cancers, genotypes, etc.). There are two basic analysis approaches: # for a gene of interest, identify which conditions affect its expression. # for condition(s) of interest, identify which genes are specifically expressed in this/these conditions. Genevestigator builds on the deep integration of data, both at the level of data normalization and on the level of sample annotations. This deep integration allows scientists to ask new types of questions that cannot be addressed using conventional tools.gene, genetic, animal, development, disease, meta-analysis, regulation, stage, microarray, rnaseq, visualization, gene expression, disease, drug, tissue, cancer, genotype, pharma, biomedical, conditions, genotype, anatomy, neoplasm, chemical, hormone, infection, model organism, organ, cell type, cell line, target, biomarker, similaritySCR_002358(Genevestigator, RRID:SCR_002358)Last checked upnif-0000-21172, nif-0000-21172, OMICS_00763
GeneSeerResource, data or information resource, databaseDatabase to access gene information through common names and allows identification of homologs and paralogs for a given gene. This publicly available tool leverages public sequence data, gene metadata information, and other publicly available data to calculate and display orthologous and paralogous gene relationships for all genes from several species, including yeasts, insects, worms, vertebrates, mammals, and primates such as humans.gene, homolog, paralog, genome, search engine, orthologSCR_002626(GeneSeer, RRID:SCR_002626)PMID:16176584Last checked upnlx_156048http://katahdin.mssm.edu/geneseer/scripts/main.plhttp://geneseer.cshl.org/
3D Ribosomal Modification Maps DatabaseResource, data or information resource, databaseDatabase of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome.human, plant, arabidopsis, ribosome, eukaryote, eubacteria, archaea, eukaryaSCR_003097(3D Ribosomal Modification Maps Database, RRID:SCR_003097)University of Massachusetts Amherst; Massachusetts; USA NIGMS, U.S. Public Health Servicerelated to: Yeast snoRNA DatabasePMID:17947322Last checked upnif-0000-00552
Database of Interacting ProteinsResource, data analysis service, production service resource, analysis service resource, database, service resource, storage service resource, data repository, data or information resourceDatabase to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.blast, cellular network, ligand-receptor complex, ligand, network, protein, protein interaction, protein ligand, protein-protein interaction, protein receptor, receptor, sequence, interaction, regulatory pathway, signaling pathway, protein bindingSCR_003167(Database of Interacting Proteins, RRID:SCR_003167)University of California at Los Angeles; California; USA NIGMSrelated to: IMEx - The International Molecular Exchange Consortium, IMEx - The International Molecular Exchange Consortium, MPIDB, TissueNet - The Database of Human Tissue Protein-Protein Interactions, InteroPorc, Interaction Reference Index, ConsensusPathDB, Monarch Initiative, NIH Data Sharing Repositories, PSICQUIC Registry, Agile Protein Interactomes DataServer, listed by: OMICtools, re3data.org, NIH Data Sharing RepositoriesPMID:14681454Last checked upnif-0000-00569, OMICS_01905https://dip.doe-mbi.ucla.edu/dip/Main.cgi
RIKEN BioResource CenterResource, organism supplier, database, biomaterial supply resource, biospecimen repository, service resource, portal, storage service resource, cell repository, material storage repository, material resource, data or information resourceThe RIKEN BRC contributes to advancement of life science research by collecting, preserving and distributing biological resources such as experimental animals, experimental plants, cultured cell lines, genetic materials (DNA), and associated bioinformatics. The RIKEN BRC develops novel bioresources to promote scientific research and new technologies to increase the value of bioresources, and also to implement effective procedures for the preservation, quality control and usage of bioresources. The RIKEN BRC is working closely with institutions in Japan and abroad.experimental animal, experimental plant, cultured cell line, dna, animal, plant, cell line, genetic material, virus, gene, cultured cell, embryo, sperm, tissue, organ, seed, cell, recombinant host, bioresourceSCR_003250(RIKEN BioResource Center, RRID:SCR_003250)RIKEN Tsukuba Institute; Kansai; Japan related to: Federation of International Mouse Resources, MGI strains, listed by: One Mind Biospecimen Bank ListingLast checked upnif-0000-31407
Information Hyperlinked Over ProteinsResource, service resource, data or information resource, databaseInformation system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli.phenotype, gene, protein, interaction, pathology, physiology, gene network, network, literature, gene function, text-miningSCR_004829(Information Hyperlinked Over Proteins, RRID:SCR_004829)Autonomous University of Madrid; Madrid; Spain European Unionrelated to: PubMed, listed by: OMICtoolsPMID:15226743Last checked upnif-0000-00232, OMICS_01185
MycoBankResource, service resource, data or information resource, data repository, storage service resource, databaseDatabase documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated and will also serve as Life Science Identifiers (LSIDs). Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural errors; however, no censorship whatsoever, (nomenclatural or taxonomic) will be exerted by MycoBank. Deposited names will remain -when desired- strictly confidential until after publication, and will then be accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases to realize a species bank that eventually will link all databases of life. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute to this new initiative. For the moment 2 search engines are available from the MycoBank website. The first one permits to search for fungal names (at any rank level), the authority or the MycoBank unique number. The second is dedicated to bibliographic queries related to fungal name''''s publications. MycoBank users willing to deposit their data will have to register so that they willbe able to contact the depositor for specific information (e.g. MycoBank number, possible points of attention regarding the name, actual publication, etc), and to avoid fake entries.yeast, aspergillus, penicillium, phaeoacremonium, russula, resupinate russulales, mycosphaerella, trichomycete, arthropod, hysteriaceae, mytilinidiaceae, mycology, nomenclature, life science identifier, bibliography, sequence alignment, polyphasic identification, image collectionSCR_004950(MycoBank, RRID:SCR_004950)related to: Index FungorumLast checked upnlx_91803
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