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on page 1 showing 20 out of 65 results from 1 sources

    ADGO

Cite this (ADGO, RRID:SCR_006343)

URL: http://www.btool.org/ADGO2

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets.

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Cite this (Aging Genes and Interventions Database, RRID:SCR_002701)

URL: http://uwaging.org/genesdb/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

A database of genes and interventions connected with aging phenotypes including those with respect to their effects on life-span or age-related neurological diseases. Information includes: organism, aging phenotype, allele type, strain, gene function, phenotypes, mutant, and homologs. If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.

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    Annmap

Cite this (Annmap, RRID:SCR_011783)

URL: http://annmap.picr.man.ac.uk/

Resource Type: Resource, software resource, data or information resource, database

A genome browser that includes mappings between genomic features and Affymetrix microarrays. Associated with annmap is: * a Bioconductor package, annmap that provides programmatic access to the underlying MySQL database tables (which are freely available for download on this site) * xmapbridge, a Bioconductor package that outputs numeric data in a form suitable for presentation in the browser. This is supported by XMapBridge, a Java client that sits on the local desktop and performs the graph rendering for the browser.

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    BaCelLo

Cite this (BaCelLo, RRID:SCR_011965)

URL: http://gpcr.biocomp.unibo.it/bacello/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable.

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Cite this (BiblioSpec, RRID:SCR_004349)

URL: http://proteome.gs.washington.edu/software/bibliospec/documentation/index.html

Resource Type: Resource, software resource, data or information resource, database

BiblioSpec enables the identification of peptides from tandem mass spectra by searching against a database of previously identified spectra. This suite of software tools is for creating and searching MS/MS peptide spectrum libraries. BiblioSpec is available free of charge for noncommercial use through an interactive web-site at http://depts.washington.edu/ventures/UW_Technology/Express_Licenses/bibliospec.php The BiblioSpec package contains the following programs: * BlibBuild creates a library of peptide MS/MS spectra from MS2 files. * BlibFilter removes redundant spectra from a library. * BlibSearch searches a spectrum library for matches to query spectra, reporting the results in an SQT file. In addition to the primary programs, the following auxiliary programs are available: * BlibStats writes summary statistics describing a library. * BlibToMS2 writes a library in MS2 file format. * BlibUpdate adds, deletes, or annotates spectra. * BlibPpMS2 processes spectra (bins peaks, removes noise, normalizes intensity) as done in BlibSearch and prints the resulting spectra to a text file. Several reference libraries are available for download. These libraries are updated regularly and are for use under the Linux operating system. You will find libraries for * Escherichia coli * Saccharomyces cerevisiae * Caenorhabditis elegans

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Cite this (BiGG Database, RRID:SCR_005809)

URL: http://bigg.ucsd.edu/

Resource Type: Resource, data or information resource, database

A knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest.

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    BioGRID

Cite this (BioGRID, RRID:SCR_007393)

URL: http://www.thebiogrid.org/

Resource Type: Resource, database, service resource, storage service resource, software resource, data repository, data or information resource

A curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. The current version searches over 41,000 publications containing over 720,000 interactions (June 2014) and contributions are welcome. Complete coverage of the entire literature is maintained for budding yeast (S. cerevisiae), fission yeast (S. pombe) and thale cress (A. thaliana), and efforts to expand curation across multiple metazoan species are underway. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. It provides interaction data to several model organism databases, resources such as Entrez-Gene, SGD, TAIR, FlyBase and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including IMEx compatible PSI MI XML. For developers, BioGRID interactions are also available via a REST based Web Service and Cytoscape plugin.

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    Cscan

Cite this (Cscan, RRID:SCR_006756)

URL: http://159.149.160.51/cscan/

Resource Type: Resource, data analysis service, database, analysis service resource, production service resource, service resource, data or information resource

Data resource that includes a large collection of genome-wide ChIP-Seq experiments performed on transcription factors (TFs), histone modifications, RNA polymerases and others. Enriched peak regions from the ChIP-Seq experiments are crossed with the genomic coordinates of a set of input genes, to identify which of the experiments present a statistically significant number of peaks within the input genes' loci. The input can be a cluster of co-expressed genes, or any other set of genes sharing a common regulatory profile. Users can thus single out which TFs are likely to be common regulators of the genes, and their respective correlations. Also, by examining results on promoter activation, transcription, histone modifications, polymerase binding and so on, users can investigate the effect of the TFs (activation or repression of transcription) as well as of the cell or tissue specificity of the genes' regulation and expression.

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Cite this (CYGD - Comprehensive Yeast Genome Database, RRID:SCR_002289)

URL: http://mips.gsf.de/genre/proj/yeast/index.jsp

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

The 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.

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Cite this (DNAtraffic, RRID:SCR_008886)

URL: http://dnatraffic.ibb.waw.pl/

Resource Type: Resource, data or information resource, database

DNAtraffic database is dedicated to be an unique comprehensive and richly annotated database of genome dynamics during the cell life. DNAtraffic contains extensive data on the nomenclature, ontology, structure and function of proteins related to control of the DNA integrity mechanisms such as chromatin remodeling, DNA repair and damage response pathways from eight model organisms commonly used in the DNA-related study: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Escherichia coli and Arabidopsis thaliana. DNAtraffic contains comprehensive information on diseases related to the assembled human proteins. Database is richly annotated in the systemic information on the nomenclature, chemistry and structure of the DNA damage and drugs targeting nucleic acids and/or proteins involved in the maintenance of genome stability. One of the DNAtraffic database aim is to create the first platform of the combinatorial complexity of DNA metabolism pathway analysis. Database includes illustrations of pathway, damage, protein and drug. Since DNAtraffic is designed to cover a broad spectrum of scientific disciplines it has to be extensively linked to numerous external data sources. Database represents the result of the manual annotation work aimed at making the DNAtraffic database much more useful for a wide range of systems biology applications. DNAtraffic database is freely available and can be queried by the name of DNA network process, DNA damage, protein, disease, and drug.

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Cite this (DOMINO: Domain peptide interactions, RRID:SCR_002392)

URL: http://mint.bio.uniroma2.it/domino/

Resource Type: Resource, data or information resource, database

Open-access database comprising more than 3900 annotated experiments describing interactions mediated by protein-interaction domains. The curation effort aims at covering the interactions mediated by the following domains (SH3, SH2, 14-3-3, PDZ, PTB, WW, EVH, VHS, FHA, EH, FF, BRCT, Bromo, Chromo, GYF). The interactions deposited in DOMINO are annotated according to the PSI MI standard and can be easily analyzed in the context of the global protein interaction network as downloaded from major interaction databases like MINT, INTACT, DIP, MIPS/MPACT. It can be searched with a versatile search tool and the interaction networks can be visualized with a convenient graphic display applet that explicitly identifies the domains/sites involved in the interactions.

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Cite this (EGAN: Exploratory Gene Association Networks, RRID:SCR_008856)

URL: http://akt.ucsf.edu/EGAN/

Resource Type: Resource, software resource, software application, data analysis software, data processing software

Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible

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Cite this (Ensembl Variation, RRID:SCR_001630)

URL: http://uswest.ensembl.org/info/docs/variation/index.html

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Database that stores areas of the genome that differ between individual genomes (variants) and, where available, associated disease and phenotype information. There are different types of variants for several species: single nucleotide polymorphisms (SNPs), short nucleotide insertions and/or deletions, and longer variants classified as structural variants (including CNVs). The effects of variants on the Ensembl transcripts and regulatory features for each species are predicted. You can run the same analysis on your own data using the Variant Effect Predictor. These data are integrated with other data sources in Ensembl, and can be accessed using the API or website. For several different species in Ensembl, they import variation data (SNPs, CNVs, allele frequencies, genotypes, etc) from a variety of sources (e.g. dbSNP). Imported variants and alleles are subjected to a quality control process to flag suspect data. In human, they calculate the linkage disequilibrium for each variant, by population.

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Cite this (eSLDB - eukaryotic Subcellular Localization database, RRID:SCR_000052)

URL: http://gpcr.biocomp.unibo.it/esldb

Resource Type: Resource, data or information resource, database

A database of protein subcellular localization annotation for eukaryotic organisms. It contains experimental annotations derived from primary protein databases, homology based annotations and computational predictions.

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Cite this (EUROpean Saccharomyces Cerevisiae ARchive for Functional Analysis, RRID:SCR_003093)

URL: http://www.euroscarf.de/index.php?name=News

Resource Type: Resource, organism supplier, biomaterial supply resource, biospecimen repository, service resource, storage service resource, material resource, material storage repository

Archive of yeast strains and plasmids that were generated during various yeast functional analysis projects.

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    FIDEA

Cite this (FIDEA, RRID:SCR_004187)

URL: http://www.biocomputing.it/fidea/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A web server for the functional interpretation of differential expression analysis. It can: * Calculate overrepresentation statistics using KEGG, Interpro, Gene Ontology Molecular Function, Gene Ontology Biological Process, Gene Ontology Cellular Component and GoSlim classifications; * Analyze down-regulated and up-regulated DE genes separately or together as a single set; * Provide interactive graphs and tables that can be modified on the fly according to user defined parameters; the user can set a fold change filter and interactively see the effects on the gene set under examination; * Output publication-ready plot of the graph; * Compare the results of several experiments in any combination.

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Cite this (FuncAssociate: The Gene Set Functionator, RRID:SCR_005768)

URL: http://llama.mshri.on.ca/funcassociate/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool

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    FungiDB

Cite this (FungiDB, RRID:SCR_006013)

URL: http://fungidb.org/fungidb/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

FungiDB is a database for functional and evolutionary comparison of fungal genomes. FungiDB is a functional genomic resource for pan-fungal genomes that was developed in partnership with the Eukaryotic Pathogen Bioinformatic resource center (http://EuPathDB.org). FungiDB uses the same infrastructure and user interface as EuPathDB, which allows for sophisticated and integrated searches to be performed using an intuitive graphical system. The current release of FungiDB contains genome sequence and annotation from 18 species spanning several fungal classes, including the Ascomycota classes, Eurotiomycetes, Sordariomycetes, Saccharomycetes and the Basidiomycota orders, Pucciniomycetes and Tremellomycetes, and the basal "Zygomycete" lineage Mucormycotina. Additionally, FungiDB contains cell cycle microarray data, hyphal growth RNA-sequence data and yeast two hybrid interaction data. The underlying genomic sequence and annotation combined with functional data, additional data from the FungiDB standard analysis pipeline and the ability to leverage orthology provides a powerful resource for in silico experimentation.

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    FunSpec

Cite this (FunSpec, RRID:SCR_006952)

URL: http://funspec.med.utoronto.ca/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

FunSpec is a web-based tool for statistical evaluation of groups of genes and proteins (e.g. co-regulated genes, protein complexes, genetic interactors) with respect to existing annotations, including GO terms. FunSpec (an acronym for Functional Specification) inputs a list of yeast gene names, and outputs a summary of functional classes, cellular localizations, protein complexes, etc. that are enriched in the list. The classes and categories evaluated were downloaded from the MIPS Database and the GO Database . In addition, many published datasets have been compiled to evaluate enrichment against. Hypertext links to the publications are given. The p-values, calculated using the hypergeometric distribution, represent the probability that the intersection of given list with any given functional category occurs by chance. The Bonferroni-correction divides the p-value threshold, that would be deemed significant for an individual test, by the number of tests conducted and thus accounts for spurious significance due to multiple testing over the categories of a database. After the Bonferroni correction, only those categories are displayed for which the chance probability of enrichment is lower than: p-value/#CD where #CD is the number of categories in the selected database. Without the Bonferroni Correction, all categories are displayed for which the same probability of enrichment is lower than: p-value threshold in an individual test Note that many genes are contained in many categories, especially in the MIPS database (which are hierarchical) and that this can create biases for which FunSpec currently makes no compensation. Also the databases are treated as independent from one another, which is really not the case, and each is searched seperately, which may not be optimal for statistical calculations. Nonetheless, we find it useful for sifting through the results of clustering analysis, TAP pulldowns, etc. Platform: Online tool

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Cite this (GeneCodis, RRID:SCR_006943)

URL: http://genecodis.cnb.csic.es/

Resource Type: Resource, data analysis service, data access protocol, production service resource, analysis service resource, web service, service resource, software resource

Web-based tool for the ontological analysis of large lists of genes. It can be used to determine biological annotations or combinations of annotations that are significantly associated to a list of genes under study with respect to a reference list. As well as single annotations, this tool allows users to simultaneously evaluate annotations from different sources, for example Biological Process and Cellular Component categories of Gene Ontology.

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