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on page 1 showing 16 out of 16 results from 1 sources

    AmiGO

Cite this (AmiGO, RRID:SCR_002143)

URL: http://amigo.geneontology.org/

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

Official Web-based tools for searching and browsing the Gene Ontology database, which consists of a controlled vocabulary of terms covering biological concepts, and a large number of genes or gene products whose attributes have been annotated using GO terms. It can be accessed online at the main installation or deployed locally. The Gene Ontology project is a major bioinformatics initiative with the aim of standardizing the representation of gene and gene product attributes across species and databases. AmiGO can be used to:
* search for a gene or gene product, or a list of gene or gene products, and view the GO term associations
* perform a sequence identity BLAST search and view the GO term associations for the genes or proteins returned
* search for GO terms and view the genes or gene products they are annotated to
* browse the GO ontology and view terms
* the slimmer tool can be used to map the granular annotations of the query set of genes to one or more high-level
* term enrichment tool is used to discover what a set of genes may have in common by examining annotations and finding significant shared GO terms.
* GOOSE is for advanced users who want to run custom SQL queries against the GO database.

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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 (BioMart Project, RRID:SCR_002987)

URL: http://www.biomart.org

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

A query-oriented data management system that can be used with any type of data and is particularly suited for providing "data mining" like searches of complex descriptive data. BioMart comes with an "out of the box" website that can be installed, configured and customized according to user requirements. Further access is provided by graphical and text based applications or programmatically using web services or API written in Perl and Java. BioMart has built-in support for query optimization and data federation and in addition can be configured to work as a DAS 1.5 Annotation server. The process of converting a data source into BioMart format is fully automated by the tools included in the package. Currently supported RDBMS platforms are MySQL, Oracle and Postgres.

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Cite this (Enhancer Trap Line Browser, RRID:SCR_003592)

URL: http://yasuimac.bio.brandeis.edu/

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

Database and atlas of transgenic mouse lines that are generated by random insertion of enhancer trap probes. The trapped lines have highly restricted expression of tet transcription activator (some lines also have Cre DNA recombinase), which enables genetic manipulations in specific cell types.

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Cite this (Gene Expression Database, RRID:SCR_006539)

URL: http://www.informatics.jax.org/expression.shtml

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

Community database that collects and integrates the gene expression information in MGI with a primary emphasis on endogenous gene expression during mouse development. The data in GXD are obtained from the literature, from individual laboratories, and from large-scale data providers. All data are annotated and reviewed by GXD curators. GXD stores and integrates different types of expression data (RNA in situ hybridization; Immunohistochemistry; in situ reporter (knock in); RT-PCR; Northern and Western blots; and RNase and Nuclease s1 protection assays) and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development. GXD also maintains an index of the literature examining gene expression in the embryonic mouse. It is comprehensive and up-to-date, containing all pertinent journal articles from 1993 to the present and articles from major developmental journals from 1990 to the present. GXD stores primary data from different types of expression assays and by integrating these data, as data accumulate, GXD provides increasingly complete information about the expression profiles of transcripts and proteins in different mouse strains and mutants. GXD describes expression patterns using an extensive, hierarchically-structured dictionary of anatomical terms. In this way, expression results from assays with differing spatial resolution are recorded in a standardized and integrated manner and expression patterns can be queried at different levels of detail. The records are complemented with digitized images of the original expression data. The Anatomical Dictionary for Mouse Development has been developed by our Edinburgh colleagues, as part of the joint Mouse Gene Expression Information Resource project. GXD places the gene expression data in the larger biological context by establishing and maintaining interconnections with many other resources. Integration with MGD enables a combined analysis of genotype, sequence, expression, and phenotype data. Links to PubMed, Online Mendelian Inheritance in Man (OMIM), sequence databases, and databases from other species further enhance the utility of GXD. GXD accepts both published and unpublished data.

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Cite this (Gene Ontology, RRID:SCR_002811)

URL: http://www.geneontology.org/

Resource Type: Resource, data or information resource, portal, knowledge environment resource

A community-based bioinformatics resource consisting of three structured controlled vocabularies (ontologies) for the annotation of gene products with respect to their molecular function, cellular component, and biological role in a species-independent manner. This initiative to standardize the representation of gene and gene product attributes across species and databases is an effort to address the need for consistent descriptions of gene products in different databases. The Gene Ontology project encourages input from the community into both the content of the GO and annotation using GO. There are three separate aspects to this effort: first, they write and maintain the ontologies themselves; second, they make cross-links between the ontologies and the genes and gene products in the collaborating databases; and third, they develop tools that facilitate the creation, maintenance and use of ontologies. The controlled vocabularies are structured so that users can query them at different levels: for example, uers can use GO to find all the gene products in the mouse genome that are involved in signal transduction, or users can zoom in on all the receptor tyrosine kinases. This structure also allows annotators to assign properties to gene products at different levels, depending on how much is known about a gene product.

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Cite this (HomoloGene, RRID:SCR_002924)

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

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

Databse that provides a system for the automatic detection of homologs, including paralogs and orthologs, among the annotated genes of a wide range of completely sequenced eukaryotic genomes. HomoloGene processing uses proteins from input organisms to compare and sequence homologs, mapping back to corresponding DNA sequences. HomoloGene reports include homology and phenotype information drawn from Online Mendelian Inheritance in Man, Mouse Genome Informatics, Zebrafish Information Network, Saccharomyces Genome Database and FlyBase. Information about the HomoloGene build procedure is provided at www.ncbi.nlm.nih.gov/HomoloGene/HTML/homologene_buildproc.html. The HomoloGene Downloader retrieves transcript, protein or genomic sequences for the genes in a HomoloGene group; in the case of genomic sequence, upstream and downstream regions may be specified.

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Cite this (Integrated Brain Gene Expression, RRID:SCR_004197)

URL: https://scicrunch.org/scicrunch/data/source/nlx_154697-4/search?q=*

Resource Type: Resource, data or information resource, database

A virtual database currently indexing brain region gene expression data from mice from: Gene Expression Nervous System Atlas (GENSAT), Allen Mouse Brain Atlas, and Mouse Genome Institute (MGI).

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Cite this (JAX Neuroscience Mutagenesis Facility, RRID:SCR_007437)

URL: http://jaxmice.jax.org/list/ra1642.html

Resource Type: Resource, biomaterial supply resource, material resource, organism supplier

Produce new neurological mouse models that could serve as experimental models for the exploration of basic neurobiological mechanisms and diseases. The impetus for the program resulted from the recognition that: * The value of genomic data would remain limited unless more information about the functionality of its individual components became available. * The task of linking genes to specific behavior would best be accomplished by employing a combination of different approaches. In an effort to complement already existing programs, the Neuroscience Mutagenesis Facility decided to use: a random, genome-wide approach to mutagenesis, i.e.N-ethyl-N-nitrosourea (ENU) as the mutagen; a three-generation back-cross breeding scheme to focus on the detection of recessive mutations; behavioral screens selective for the detection of phenotypes deemed useful for the program goals. The resulting mutant mouse lines have been available to the scientific community for the last five years and over 700 NMF mice have been sent to interested investigators for research; these mutant mouse lines will remain available as frozen embryos (which can be re-derived on request) and can be ordered through the JAX customer service at 1-800-422-6423 (or 207-288-5845). The results of the work of the Neuroscience Mutagenesis Facility and that of two other neurogenesis centers, i.e. The Neurogenomics Project at Northwestern University, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium, can also be seen at Neuromice.org, a common web site of these three research centers; in addition, information about all mutants produced by these groups has been recorded in MGI.

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Cite this (MalaCards, RRID:SCR_005817)

URL: http://malacards.org

Resource Type: Resource, data or information resource, database

An integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. The database contains 17,705 diseases, consolidated from 28 sources.

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Cite this (MONARCH Disease Models View, RRID:SCR_000824)

URL: https://monarchinitiative.org/

Resource Type: Resource, data or information resource, database

Database that indexes authoritative information on experimental models of disease from MGI, RGD and ZFIN.

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    MouseCyc

Cite this (MouseCyc, RRID:SCR_001791)

URL: http://mousecyc.jax.org/

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

A manually curated database of both known and predicted metabolic pathways for the laboratory mouse. It has been integrated with genetic and genomic data for the laboratory mouse available from the Mouse Genome Informatics database and with pathway data from other organisms, including human. The database records for 1,060 genes in Mouse Genome Informatics (MGI) are linked directly to 294 pathways with 1,790 compounds and 1,122 enzymatic reactions in MouseCyc. (Aug. 2013) BLAST and other tools are available. The initial focus for the development of MouseCyc is on metabolism and includes such cell level processes as biosynthesis, degradation, energy production, and detoxification. MouseCyc differs from existing pathway databases and software tools because of the extent to which the pathway information in MouseCyc is integrated with the wealth of biological knowledge for the laboratory mouse that is available from the Mouse Genome Informatics (MGI) database.

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Cite this (NIH Data Sharing Repositories, RRID:SCR_003551)

URL: http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_repositories.html

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

A listing of NIH supported data sharing repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network. Also included are resources that aggregate information about biomedical data and information sharing systems. The table can be sorted according by name and by NIH Institute or Center and may be searched using keywords so that you can find repositories more relevant to your data. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of-contact for further information or inquiries can be found on the websites of the individual repositories.

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    PhenoGO

Cite this (PhenoGO, RRID:SCR_013646)

URL: http://www.phenogo.org

Resource Type: Resource, data or information resource, database

PhenoGO is a computed database designed for high throughput mining that provides phenotypic and experimental context - such as the cell type, disease, tissue, and organ - to existing annotations between gene products and Gene Ontology (GO) terms, as specified in the Gene Ontology Annotations (GOA) for multiple model organisms. Phenotypic and Experimental (P&E) contexts to identifiers are computationally mapped to general biological ontologies, including: the Cell Ontology (CO), phenotypes from the Unified Medical Language System (UMLS), species from Taxonomy of the National Center for Biotechnology Information (NCBI) taxonomy, and specialized ontologies such as Mammalian Phenotype Ontology (MP) and Mouse Anatomy (MA).

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Cite this (Rat Gene Symbol Tracker, RRID:SCR_003261)

URL: http://ratmap.gen.gu.se/

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process.

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Cite this (RIKEN integrated database of mammals, RRID:SCR_006890)

URL: https://database.riken.jp/sw/en/The_RIKEN_integrated_database_of_mammals/ria254i/

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

A database that integrates not only RIKEN''''s original large-scale mammalian databases, such as FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database and the Bioresource Database, but also imported data from public databases, such as Ensembl, MGI and biomedical ontologies. Our integrated database has been implemented on the infrastructure of publication medium for databases, termed SciNetS/SciNeS, or the Scientists'''' Networking System, where the data and metadata are structured as a semantic web and are downloadable in various standardized formats. The top-level ontology-based implementation of mammal-related data directly integrates the representative knowledge and individual data records in existing databases to ensure advanced cross-database searches and reduced unevenness of the data management operations. Through the development of this database, we propose a novel methodology for the development of standardized comprehensive management of heterogeneous data sets in multiple databases to improve the sustainability, accessibility, utility and publicity of the data of biomedical information.

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