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on page 1 showing 20 out of 77 results from 1 sources


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 If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.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 (Ancora, RRID:SCR_001623)

URL: http://ancora.genereg.net/

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

Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements.

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Cite this (APHIDBASE, RRID:SCR_001765)

URL: http://www.aphidbase.com/aphidbase/

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

Centralized bioinformatic resource that facilitates community annotation of the pea aphid genome by the International Aphid Genomics Consortium (IAGC). It aims to (i) store recently acquired genomic resources on aphids and (ii) compare them to other insect resources as functional annotation tools. The AphidBase Information System designed to organize and distribute genomic data and annotations for a large international community was constructed using open source software tools from the Generic Model Organism Database (GMOD). The system includes Apollo and GBrowse utilities as well as a wiki, blast search capabilities and a full text search engine. For that, the Drosophila melanogaster genome has been loaded in the database using the GMOD open source software for a comparison with the 17 069 pea aphid unique transcripts (contigs) and the 13 639 gene transcripts of the Anopheles gambiae. Links to FlyBase and A.gambiae Entrez databases allow a rapid characterization of the putative functions of the aphid sequences. Text mining of the D.melanogaster literature was performed to construct a network of co-cited gene or protein names, which should facilitate functional annotation of aphid homolog sequences. AphidBase represents one of the first genomic databases for a hemipteran insect.

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Cite this (BABAM, RRID:SCR_015632)

URL: https://github.com/kristinbranson/BABAM

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

Graphical user interface for exploring hypotheses of correlations between neural activity in regions of the brain and behavior for Drosophila melanogaster. These correlation hypotheses are the result of our thermogenetic neural activation screen from the Janelia GAL4 collection.

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Cite this (Bgee: a dataBase for Gene Expression Evolution, RRID:SCR_002028)

URL: http://bgee.org/

Resource Type: Resource, data or information resource, database

Database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently RNA-Seq, Affymetrix, in situ hybridization, and EST data) to anatomy and development of different species.

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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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Cite this (Bloomington Drosophila Stock Center, RRID:SCR_006457)

URL: http://flystocks.bio.indiana.edu/bloomhome.htm

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

Database collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations. Approximately 29,000 fly strains are currently available. Up-to-date stock lists are available for searching, browsing, or downloading/copying at the Internet site. An order form is available on the same site. One small subculture is provided of each requested stock. Larger quantities of animals cannot be provided by the center. Requests may be submitted via a web-based automated ordering system. Stock center scientists are available to answer questions about center stocks, use of the database, or general questions about Drosophila genetics for researchers new to the field. New users of the collection must contact the center for a Bloomington user number (BUN) before ordering stocks.

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Cite this (BodyMap-Xs, RRID:SCR_001147)

URL: http://bodymap.genes.nig.ac.jp/

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008

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Cite this (BrainTrap: Fly Brain Protein Trap Database, RRID:SCR_003398)

URL: http://braintrap.inf.ed.ac.uk/braintrap/

Resource Type: Resource, data or information resource, d spatial image, database

This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download.

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Cite this (Cell Centered Database, RRID:SCR_002168)

URL: http://ccdb.ucsd.edu

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

THIS RESOURCE IS NO LONGER IN SERVICE, documented June 5, 2017. It has been merged with Cell Image Library. Database for sharing and mining cellular and subcellular high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging that makes unique and valuable datasets available to the scientific community for visualization, reuse and reanalysis. Techniques range from wide field mosaics taken with multiphoton microscopy to 3D reconstructions of cellular ultrastructure using electron tomography. Contributions from the community are welcome. The CCDB was designed around the process of reconstruction from 2D micrographs, capturing key steps in the process from experiment to analysis. The CCDB refers to the set of images taken from microscope the as the Microscopy Product. The microscopy product refers to a set of related 2D images taken by light (epifluorescence, transmitted light, confocal or multiphoton) or electron microscopy (conventional or high voltage transmission electron microscopy). These image sets may comprise a tilt series, optical section series, through focus series, serial sections, mosaics, time series or a set of survey sections taken in a single microscopy session that are not related in any systematic way. A given set of data may be more than one product, for example, it is possible for a set of images to be both a mosaic and a tilt series. The Microscopy Product ID serves as the accession number for the CCDB. All microscopy products must belong to a project and be stored along with key specimen preparation details. Each project receives a unique Project ID that groups together related microscopy products. Many of the datasets come from published literature, but publication is not a prerequisite for inclusion in the CCDB. Any datasets that are of high quality and interest to the scientific community can be included in the CCDB.

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Cite this (ComiR, RRID:SCR_013023)

URL: http://www.benoslab.pitt.edu/comir/

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

Data analysis service that predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data.

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Cite this (Connectome Mapping Toolkit, RRID:SCR_001644)

URL: http://connectome.ch/

Resource Type: Resource, image analysis software, data processing software, software application, data management software, data set, software resource, software toolkit, image processing software, data or information resource

A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application.

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Cite this (CuticleDB, RRID:SCR_007045)

URL: http://bioinformatics.biol.uoa.gr/cuticleDB

Resource Type: Resource, data or information resource, database

A relational database containing all structural proteins of Arthropod cuticle identified to date. Many come from direct sequencing of proteins isolated from cuticle and from sequences from cDNAs that share common features with these authentic cuticular proteins. It also includes proteins from the five sequenced genomes where manual annotation has been applied to cuticular proteins: Anopheles gambiae, Apis mellifera, Bombyx mori, Drosophila melanogaster, and Nasonia vitripennis. Some sequences were confirmed as authentic cuticular proteins because protein sequencing revealed that they were present in cuticle; others were identified by sequence homology and other criteria. Entries provides information about whether sequences are putative or authentic cuticular proteins. CuticleDB was primarily designed to contain correct and full annotation of cuticular protein data. The database will be of help to future genome annotators. Users will be able to test hypotheses for the existence of known and also of yet unknown motifs in cuticular proteins. An analysis of motifs may contribute to understanding how proteins contribute to the physical properties of cuticle as well as to the precise nature of their interaction with chitin.

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Cite this (dbVar, RRID:SCR_003219)

URL: http://www.ncbi.nlm.nih.gov/dbvar/

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

A structural variation database designed to store data on variant DNA > / = 1 bp in size from all organisms. Associations of defined variants with phenotype information is also provided. Users can browse data containing the number of variant cells from each study, and filter studies by organism, study type, method and genomic variant. Organisms include human, mouse, cattle and several additional animals. Practically speaking, they recommend submitting variation data that is >50bp to dbVar and variation data that is

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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 (doRiNA, RRID:SCR_013222)

URL: http://dorina.mdc-berlin.de/rbp_browser/dorina.html

Resource Type: Resource, data or information resource, database

In animals, RNA binding proteins (RBPs) and microRNAs (miRNAs) post-transcriptionally regulate the expression of virtually all genes by binding to RNA. Recent advances in experimental and computational methods facilitate transcriptome-wide mapping of these interactions. It is thought that the combinatorial action of RBPs and miRNAs on target mRNAs form a post-transcriptional regulatory code. We provide a database that supports the quest for deciphering this regulatory code. Within doRiNA, we are systematically curating, storing and integrating binding site data for RBPs and miRNAs. Users are free to take a target (mRNA) or regulator (RBP and/or miRNA) centric view on the data. We have implemented a database framework with short query response times for complex searches (e.g. asking for all targets of a particular combination of regulators). All search results can be browsed, inspected and analyzed in conjunction with a huge selection of other genome-wide data, because our database is directly linked to a local copy of the UCSC genome browser. At the time of writing, doRiNA encompasses RBP data for the human, mouse and worm genomes. For computational miRNA target site predictions, we provide an update of PicTar predictions.

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Cite this (Drosophila anatomy and development ontologies, RRID:SCR_001607)

URL: http://sourceforge.net/p/fbbtdv/wiki/Home/

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of the anatomy of Drosophila melanogaster. These ontologies are query-able reference sources for information on Drosophila anatomy and developmental stages. They also provide controlled vocabularies for use in annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. They were originally developed by FlyBase, who continue to maintain them and have used them for over 200,000 annotations of phenotypes and expression. Extensive use of synonyms means that, given a suitably sophisticated autocomplete, users can find relevant content by searching with almost any anatomical term they find in the literature. These ontologies are developed in the web ontology language OWL2. Their extensive formalization in OWL can be used to drive sophisticated query systems.

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Cite this (Drosophila Development Ontology, RRID:SCR_010310)

URL: http://purl.bioontology.org/ontology/FB-DV

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of the development of Drosophila melanogaster.

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Cite this (Drosophila Gross Anatomy Ontology, RRID:SCR_010311)

URL: http://purl.bioontology.org/ontology/FB-BT

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of the anatomy of Drosophila melanogaster.

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