Tools   Select Another Resource Report Type

http://www.ebi.ac.uk/arrayexpress/

International functional genomics data collection generated from microarray or next-generation sequencing (NGS) platforms. Repository of functional genomics data supporting publications. Provides genes expression data for reuse to the research community where they can be queried and downloaded. Integrated with the Gene Expression Atlas and the sequence databases at the European Bioinformatics Institute. Contains a subset of curated and re-annotated Archive data which can be queried for individual gene expression under different biological conditions across experiments. Data collected to MIAME and MINSEQE standards. Data are submitted by users or are imported directly from the NCBI Gene Expression Omnibus.

Proper citation: ArrayExpress (RRID:SCR_002964) Copy   

•   Source: SciCrunch Registry

http://isa-tools.org

Desktop software suite targeted to curators and experimentalists that assists in the reporting and local management of experimental metadata, engages with minimum information checklists and ontologies and formats studies for submission to international public repositories. The ISA software suite is the product of an ongoing collaboration between various research and service groups from diverse life science domains. It represents an opportunity for the wider research community to start taking data management into their own hands by supporting graduated adherence to community standards and the efficient curation of experimental metadata at source, shielded from underlying complexities. The software suite is comprised of several platform-independent Java-based software components for local use, including a relational database, built around the ISA-Tab format. The components work both as stand-alone applications and as a unified system.

Proper citation: ISA Infrastructure for Managing Experimental Metadata (RRID:SCR_002041) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/resolver/SCR_002250

THIS RESOURCE IS NO LONGER IN SERVICE. Documented Jul 19, 2024. Metadatabase manually curated that provides web accessible tools related to genomics, transcriptomics, proteomics and metabolomics. Used as informative directory for multi-omic data analysis.

Proper citation: OMICtools (RRID:SCR_002250) Copy   

•   Source: SciCrunch Registry

http://www.datacite.org/

Platform for storing, finding and accessing data that provides a service for data centres to mint DOIs and store associated metadata. Their goals are to establish easier access to scientific research data on the Internet, increase acceptance of research data as legitimate, citable contributions to the scientific record and support data archiving that will permit results to be verified and re-purposed for future study. DataCite is global, with member institutions offering services and advice directly where they are needed by the researchers. While datasets are shared and accessed globally, researchers work within national funding and organizational frameworks. It therefore operates globally, with national representation. The DataCite Metadata Scheme is a list of core metadata properties chosen for the accurate and consistent identification of data for citation and retrieval purposes, along with recommended use instructions.

Proper citation: DataCite (RRID:SCR_004139) Copy   

•   Source: SciCrunch Registry

http://www.mged.org/mage-tab/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 27,2023. A simple tab-delimited, spreadsheet-based format which will become a part of the MAGE microarray data standard that can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML.

Proper citation: MAGE-TAB (RRID:SCR_003222) Copy   

•   Source: SciCrunch Registry

http://www.fged.org/projects/minseqe/

The Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. The five elements of experimental description considered essential when making data available supporting published high-throughput sequencing experiments are as follows: # The description of the biological system, samples, and the experimental variables being studied # The sequence read data for each assay # The "final" processed (or summary) data for the set of assays in the study # General information about the experiment and sample-data relationships # Essential experimental and data processing protocols

Proper citation: MINSEQE (RRID:SCR_003221) Copy   

•   Source: SciCrunch Registry

http://fged.org/projects/miame/

Standard specification for the Minimum Information About a Microarray Experiment that is needed to enable the interpretation of the results of the experiment unambiguously and potentially to reproduce the experiment.

Proper citation: MIAME (RRID:SCR_002349) Copy   

•   Source: SciCrunch Registry

http://dknet.org/

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/ArrayExpress.html

Software to access the ArrayExpress Repository at EBI and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet

Proper citation: ArrayExpress (R) (RRID:SCR_000120) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/gxa/

Gene Expression Atlas is a semantically enriched database of meta-analysis based summary statistics over a curated subset of ArrayExpress Archive, servicing queries for condition-specific gene expression patterns as well as broader exploratory searches for biologically interesting genes/samples. The EBI Gene Expression Atlas Blog discusses ideas, features and problems of creating a large scale meta-analytical atlas of gene expression from publicly available microarray data. Atlas REST API provides all the results available in the main web application in a pragmatic, easy to use form - simple HTTP GET queries as input and either JSON or XML formats as output. Gene Expression Atlas goals: 1. Provision of a statistically robust framework for integration of gene expression experiment results across different platforms at a meta-analytical level 2. A simple interface for identifying strong differential expression candidate genes in conditions of interest 3. Integration of ontologies for high quality annotation of gene and sample attributes 4. Construction of new gene expression summarized views, with a view to analysis of putative signaling pathway targets, discovery of correlated gene expression patterns and the identification of condition/tissue-specific patterns of gene expression.

Proper citation: Gene Expression Atlas (RRID:SCR_007989) Copy   

•   Source: SciCrunch Registry

http://www.flymine.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Integrated database of genomic, expression and protein data for Drosophila, Anopheles, C. elegans and other organisms. You can run flexible queries, export results and analyze lists of data. FlyMine presents data in categories, with each providing information on a particular type of data (for example Gene Expression or Protein Interactions). Template queries, as well as the QueryBuilder itself, allow you to perform searches that span data from more than one category. Advanced users can use a flexible query interface to construct their own data mining queries across the multiple integrated data sources, to modify existing template queries or to create your own template queries. Access our FlyMine data via our Application Programming Interface (API). We provide client libraries in the following languages: Perl, Python, Ruby and & Java API

Proper citation: FlyMine (RRID:SCR_002694) Copy   

•   Source: SciCrunch Registry

http://trace.ddbj.nig.ac.jp/dor/index_e.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Archival database of functional genomics data generated by microarray and highly parallel new generation sequencers. Data are exchanged between ArrayExpress at EBI and DOR in common MAGE-TAB format. Supports MIAME and MINSEQE-compliant data submissions. DOR issues accession numbers, E-DORD-n to experiment and A-DORD-n to array design. DOR exchanges public data with the EBI ArrayExpress in common MAGE-TAB format. Note: At present, DOR does not accept submissions. DDBJ will announce launch of DOR when it is ready. (2013/01/31) The data can be kept private until your paper is published. You can set the hold date for a maximum of 1 year and can change it. Registered records are released according to the Data Release Policy.

Proper citation: DDBJ Omics Archive (RRID:SCR_000597) Copy   

•   Source: SciCrunch Registry

https://www.niddk.nih.gov/

Center with mission to conduct and support medical research and research training and to disseminate science-based information on diabetes and other endocrine and metabolic diseases. The NIDDK supports a wide range of medical research through grants to universities and other medical research institutions across the country.

Proper citation: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases (RRID:SCR_012895) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/

Non-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.

Proper citation: European Bioinformatics Institute (RRID:SCR_004727) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/efo/

An application focused ontology modelling the experimental factors in ArrayExpress and Gene Expression Atlas. It has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology describes cross-product classes from reference ontologies in area such as disease, cell line, cell type and anatomy. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. This is achieved using a combination of automated and manual curation steps and the use of a phonetic matching algorithm. The ontology is evaluated with use cases from the ArrayExpress repository and ArrayExpress Atlas. You may also browse the EFO in the NCBO Bioportal. Term submissions are welcome.

Proper citation: Experimental Factor Ontology (RRID:SCR_003574) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-18/search?q=*&l=

A virtual database cataloging numerous data set resources, including: BrainMaps.org, Cell Centered Database, Clinical Trials Network (CTN) Data Share, ClinicalTrials.gov, CRCNS, Gene Expression Omnibus, ArrayExpress, MPD - Mouse Phenome Database, BioSharing, Gene Weaver, XNAT Central, 1000 Functional Connectomes Project, Health.Data.gov, SciCrunch Registry, NIF Registry Automated Crawl Data, NeuroVault, OpenfMRI, Physiobank, RanchoBiosciences, YPED, Data.gov Science, and Research Data Catalog.

Proper citation: Integrated Datasets (RRID:SCR_010503) Copy   

•   Source: SciCrunch Registry

http://bioinfo.jialab-ucr.org/CancerMIRNome/

Web server for cancer miRNome interactive analysis and visualization based on human miRNome data of cancer types from The Cancer Genome Atlas, and public cancer circulating miRNome profiling datasets from NCBI Gene Expression Omnibus and ArrayExpress. Comprehensive database for interactive analysis and visualization of miRNA expression profiles.

Proper citation: CancerMIRNome (RRID:SCR_022092) Copy   

•   Source: SciCrunch Registry

https://neuinfo.org/mynif/search.php?list=cover&q=*

Service that partners with the community to expose and simultaneously drill down into individual databases and data sets and return relevant content. This type of content, part of the so called hidden Web, is typically not indexed by existing web search engines. Every record links back to the originating site. In order for NIF to directly query these independently maintained databases and datasets, database providers must register their database or dataset with the NIF Data Federation and specify permissions. Databases are concept mapped for ease of sharing and to allow better understanding of the results. Learn more about registering your resource, http://neuinfo.org/nif_components/disco/interoperation.shtm Search results are displayed under the Data Federation tab and are categorized by data type and nervous system level. In this way, users can easily step through the content of multiple resources, all from the same interface. Each federated resource individually displays their query results with links back to the relevant datasets within the host resource. This allows users to take advantage of additional views on the data and tools that are available through the host database. The NIF site provides tutorials for each resource, indicated by the Professor Icon professor icon showing users how to navigate the results page once directed there through the NIF. Additionally, query results may be exported as an Excel document. Note: NIF is not responsible for the availability or content of these external sites, nor does NIF endorse, warrant or guarantee the products, services or information described or offered at these external sites. Integrated Databases: Theses virtual databases created by NIF and other partners combine related data indexed from multiple databases and combine them into one view for easier browsing. * Integrated Animal View * Integrated Brain Gene Expression View * Integrated Disease View * Integrated Nervous System Connectivity View * Integrated Podcasts View * Integrated Software View * Integrated Video View * Integrated Jobs * Integrated Blogs For a listing of the Federated Databases see, http://neuinfo.org/mynif/databaseList.php or refer to the Resources Listed by NIF Data Federation table below.

Proper citation: NIF Data Federation (RRID:SCR_004834) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.intec.ugent.be/magic/

Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress.

Proper citation: Magic (RRID:SCR_006406) Copy   

•   Source: SciCrunch Registry

http://www.re3data.org/

Global registry of research data repositories from all academic disciplines that allows the easy identification of appropriate research data repositories, both for data producers and users. Information icons display principal attributes of a repository that can be used for multi-faceted searches. Repository operators can suggest their infrastructures to be listed via a simple application form. A repository is indexed when the minimum requirements are met, i.e. mode of access to the data and repository, as well as the terms of use.

Proper citation: re3data.org (RRID:SCR_006782) Copy   

•   Source: SciCrunch Registry