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on page 1 showing 20 out of 58 results

    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 If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.

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Cite this (Arabidopsis Gene Regulatory Information Server, RRID:SCR_006928)

URL: http://arabidopsis.med.ohio-state.edu

Resource Type: Resource, data or information resource, database

An information resource of Arabidopsis promoter sequences, transcription factors and their target genes that contains three databases. *AtcisDB consists of approximately 33,000 upstream regions of annotated Arabidopsis genes (TAIR9 release) with a description of experimentally validated and predicted cis-regulatory elements. *AtTFDB contains information on approximately 1,770 transcription factors (TFs). These TFs are grouped into 50 families, based on the presence of conserved domains. *AtRegNet contains 11,355 direct interactions between TFs and target genes. They provide free download of Arabidopsis thaliana cis-regulatory database (AtcisDB) and transcription factor database (AtTFDB).

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Cite this (Arabidopsis Hormone Database, RRID:SCR_001792)

URL: http://ahd.cbi.pku.edu.cn

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

Database providing a systematic and comprehensive view of morphological phenotypes regulated by plant hormones, as well as regulatory genes participating in numerous plant hormone responses. By integrating the data from mutant studies, transgenic analysis and gene ontology annotation, genes related to the stimulus of eight plant hormones were identified, including abscisic acid, auxin, brassinosteroid, cytokinin, ethylene, gibberellin, jasmonic acid and salicylic acid. Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies. To increase the coverage of phytohormone related genes, the database has been updated from AHD to AHD2.0 adding and integrating several pronounced features: (1) added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) integrated predicted miRNA splicing site in each gene in the database; (4) provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, they also provided links to a powerful online analysis platform Weblab that they have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research. Please help to improve the database with your contributions.

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Cite this (Arabidopsis thaliana Genome Database, RRID:SCR_001901)

URL: http://www.plantgdb.org/AtGDB/

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

Database providing a sequence-centered genome view for Arabidopsis thaliana, with a narrow focus on gene structure annotation. The current genome assembly displayed at AtGDB is version TAIR9. Annotated gene models are TAIR10. They have mapped the complete set of 176,915 publicly available Arabidopsis EST sequences onto the Arabidopsis genome using GeneSeqer, a spliced alignment program incorporating sequence similarity and splice site scoring. About 96% of the available ESTs could be properly aligned with a genomic locus, with the remaining ESTs deriving from organelle genomes and non-Arabidopsis sources or displaying insufficient sequence quality for alignment. The mapping provides verified sets of EST clusters for evaluation of EST clustering programs. Analysis of the spliced alignments suggests corrections to current gene structure annotation and provides examples of alternative and non-canonical pre-mRNA splicing.

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Cite this (Arabidopsis thaliana Protein Interactome Database, RRID:SCR_001896)

URL: http://www.megabionet.org/atpid/webfile/

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

Centralized platform to depict and integrate the information pertaining to protein-protein interaction networks, domain architecture, ortholog information and GO annotation in the Arabidopsis thaliana proteome. The Protein-protein interaction pairs are predicted by integrating several methods with the Naive Baysian Classifier. All other related information curated is manually extracted from published literature and other resources from some expert biologists. You are welcomed to upload your PPI or subcellular localization information or report data errors. Arabidopsis proteins is annotated with information (e.g. functional annotation, subcellular localization, tissue-specific expression, phosphorylation information, SNP phenotype and mutant phenotype, etc.) and interaction qualifications (e.g. transcriptional regulation, complex assembly, functional collaboration, etc.) via further literature text mining and integration of other resources. Meanwhile, the related information is vividly displayed to users through a comprehensive and newly developed display and analytical tools. The system allows the construction of tissue-specific interaction networks with display of canonical pathways.

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    AraCyc

Cite this (AraCyc, RRID:SCR_008109)

URL: http://www.plantcyc.org

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

Tool for visualizing biochemical pathways of Arabidopsis thaliana, the database contains a mix of information: extracted from peer-reviewed literature and computationally predicted. Users are strongly encouraged to share their pathway knowledge to help in the constant task of improving data content (see the Data Submission page). The manual curation of the database, which includes correcting pathways and adding missing pathways, is on-going. AraCyc is released on a semi-annual basis with a summary of the DataBase Content and PathoLogic Software Report with each release. The OMICS Viewer allows the overlay of data from gene expression, proteomic, or metabolomic experiments on a metabolic map. Other tools for mining the data in AraCyc are provided including the Comparative Analysis tool and an Advanced Query Page. Users can download the AraCyc database files from the Plant Metabolic Network website, by FTP, or programmatically.

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    AthaMap

Cite this (AthaMap, RRID:SCR_006717)

URL: http://www.athamap.de/

Resource Type: Resource, data or information resource, database

Database that generates a genome-wide map of potential transcription factor binding sites (TFBS) in Arabidopsis thaliana. Data in AthaMap is based on published transcription factor (TF) binding specificities available as alignment matrices or experimentally determined single binding sites. The complete list of the 146 transcription factors included in AthaMap and the corresponding references and screening results are displayed on the documentation page. By using the search function, the sequence of a specific genomic position or gene can be displayed in a sequence window including the potential transcription factor binding sites. A colocalization function allows the search for user-defined potential combinatorial elements. A set of pre-calculated known combinatorial elements is already incorporated in AthaMap. The Gene Analysis tool enables identification of common transcription factor binding sites in a set of user-submitted genes. The Gene Identification tool allows the search for genes harbouring specific transcription factor binding sites. All genes targeted by smallRNAs and miRNAs are identified in AthaMap when the web-tools Colocalization, Gene-Analysis, and Gene Identification are used. The MicroRNA Targets function permits the identifcation of target genes for miRNAs. 190 screening sequences corresponding to the 243 miRNA genes and the number of genomic hits can be found on the the Documentation page. The Small RNA Targets function enables identification of small RNA targets from different small RNA libraries given on the Documentation page.

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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 (BioGPS: The Gene Portal Hub, RRID:SCR_006433)

URL: http://biogps.org/

Resource Type: Resource, data or information resource, database

An extensible and customizable gene annotation portal that emphasizes community extensibility and user customizability. It is a complete resource for learning about gene and protein function. Community extensibility reflects a belief that any BioGPS user should be able to add new content to BioGPS using the simple plugin interface, completely independently of the core developer team. User customizability recognizes that not all users are interested in the same set of gene annotation data, so the gene report layouts enable each user to define the information that is most relevant to them. Currently, BioGPS supports eight species: Human (Homo sapiens), Mouse (Mus musculus), Rat (Rattus norvegicus), Fruitfly (Drosophila melanogaster), Nematode (Caenorhabditis elegans), Zebrafish (Danio rerio), Thale-cress (Arabidopsis thaliana), Frog (Xenopus tropicalis), and Pig (Sus scrofa). BioGPS presents data in an ortholog-centric format, which allows users to display mouse plugins next to human ones. Our data for defining orthologs comes from NCBI's HomoloGene database.

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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.

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Cite this (CSHL - Hannon Lab, RRID:SCR_005982)

URL: http://hannonlab.cshl.edu/index.html

Resource Type: Resource, laboratory portal, portal, organization portal, data or information resource

The Hannon laboratory comprises a broad spectrum of programs in small RNA biology, mammalian genetics and genomics. We study RNAi and related pathways in a wide variety of organisms to extract common themes that define both the mechanisms by which small RNAs act and the biological processes which they impact. Currently, we focus on microRNAs, endogenous siRNAs and piRNAs and their roles in gene regulation, cancer biology, stem cell biology and in defense of the genome against transposons. In collaboration with Steve Elledge (Harvard) and Scott Lowe (CSHL), we develop genome-wide shRNA tools for RNAi-based genetics in mammalian cells, and we are now producing similar collections of artificial microRNAs for Arabidopsis with Detlef Weigel (MPI), Dick McCombie (CSHL) and Rob Martienssen (CSHL) as part of the 2010 project (see 2010.cshl.edu). Our genomic efforts include the application of RNAi-based genetic screens to cancer biology and stem cells. We also make heavy use of next generation sequencing methodologies for probing small RNA populations, in part as a member of the ENCODE consortium (with Tom Gingeras, CSHL). Finally, we develop (with Dick McCombie) and apply focal re-sequencing methods for identifying disease relevant mutations, for probing the epigenetic landscape and for the study of human evolution.

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Cite this (Database of Arabidopsis Transcription Factors, RRID:SCR_007101)

URL: http://datf.cbi.pku.edu.cn/

Resource Type: Resource, data or information resource, database

Database that collects all arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families. It uses not only locus (gene), but also gene model (transcript, protein) and the detail information is for each gene model not for locus. It adds multiple alignment of the DNA-binding domain of each family, Neighbor-Joining phylogenetic tree of each family, the GO annotation, homolog with the Database of Rice Transcription Factors (DRTF). It also keeps old information items such as the unique cloned and sequenced information of about 1200 transcription factors, protein domains, 3D structure information with BLAST hits against PDB, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.

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    DATFAP

Cite this (DATFAP, RRID:SCR_005413)

URL: http://cgi-www.daimi.au.dk/cgi-chili/datfap/frontdoor.py

Resource Type: Resource, data or information resource, database

A database of transcription factors from 13 plant species, and PCR primers for around 90% of them.

  • From Current Category

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 (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 (EID: Exon-Intron Database, RRID:SCR_002469)

URL: http://bpg.utoledo.edu/~afedorov/lab/eid.html

Resource Type: Resource, data set, data or information resource

Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames.

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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 (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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Cite this (GeneMANIA, RRID:SCR_005709)

URL: http://genemania.org/

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

Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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