OmicsDI XML format
Created in 2017
Scope and data types
How to cite this record FAIRsharing.org: OmicsDI XML format; OmicsDI XML format; DOI: https://doi.org/10.25504/FAIRsharing.2hqa97; Last edited: March 15, 2018, 11:54 a.m.; Last accessed: Nov 17 2018 1:01 a.m.
Record added: Oct. 5, 2017, 3:29 p.m.
Record updated: March 15, 2018, 10:18 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.2hqa97' by 'The FAIRsharing Team' at 10:18, 15 Mar 2018 (approved): 'miriam_url' has been modified: Before: None After:
|Contact||Dr Yasset Perez-Riverol|
|OmicsDI XML Validator||https://github.com/OmicsDI/xml-validator|
No XSD schemas defined
Conditions of Use
Discovering and linking public omics data sets using the Omics Discovery Index.
Perez-Riverol Y,Bai M,da Veiga Leprevost F,Squizzato S,Park YM,Haug K,Carroll AJ,Spalding D,Paschall J,Wang M,Del-Toro N,Ternent T,Zhang P,Buso N,Bandeira N,Deutsch EW,Campbell DS,Beavis RC,Salek RM,Sarkans U,Petryszak R,Keays M,Fahy E,Sud M,Subramaniam S,Barbera A,Jimenez RC,Nesvizhskii AI,Sansone SA,Steinbeck C,Lopez R,Vizcaino JA,Ping P,Hermjakob H
Nat Biotechnol 2017
No guidelines defined
No semantic standards defined
Models and Formats
No identifier schema standards defined
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MetaboLights is a database is a collection of metabolite structures. This resource provides information on the compound origins,the biological roles, locations and concentrations, as well as experimental data from metabolic experiments. The tools and capabilities of this database is firmly routed in collaborative working worldwie with the metabolomics community such as the Metabolomics Society and the associated Metabolomics Standards Initiative (MSI).
ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. It includes gene expression data from microarray and high throughput sequencing studies. Data is collected to MIAME and MINSEQE standards. Experiments are submitted directly to ArrayExpress or are imported from the NCBI GEO database.
A repository of mathematical models of biological and biomedical systems
BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.
PRoteomics IDEntifications database
The PRIDE PRoteomics IDEntifications database is a centralized, standards compliant, public data repository that provides protein and peptide identifications together with supporting evidence.
The European Genome-phenome Archive
The European Genome-phenome Archive (EGA) allows you to explore datasets from genomic studies, provided by a range of data providers. Access to datasets must be approved by the specified Data Access Committee (DAC).
The PeptideAtlas Project provides a publicly accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools.
The Global Proteome Machine Database
Rather than being a complete record of a proteomics experiment, this database holds the minimum amount of information necessary for certain bioinformatics-related tasks, such as sequence assignment validation. Most of the data is held in a set of XML files.
Experimental data generated by NIH Metabolomics Regional Comprehensive Metabolomics Resource Cores (RCMRC)s * and other NIH-sponsored projects is available for searching and analysis, via online interfaces. Users may also search the Metabolomics Workbench Metabolite Database, which now contains over 60,000 entries.
Library of Integrated Network-Based Cellular Signatures Data Portal
The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.
Japan Proteome Standard Repository
jPOSTrepo (Japan ProteOme STandard Repository) is a data repository of sharing MS raw/processed data.
Omics Discovery Index
The Omics Discovery Index (OmicsDI) provides dataset discovery across a heterogeneous, distributed group of Transcriptomics, Genomics, Proteomics and Metabolomics data resources spanning eight repositories in three continents and six organisations, including both open and controlled access data resources. The resource provides a short description of every dataset: accession, description, sample/data protocols biological evidences, publication, etc. Based on these metadata, OmicsDI provides extensive search capabilities, as well as identification of related datasets by metadata and data content where possible. In particular, OmicsDI identifies groups of related, multi-omics datasets across repositories by shared identifiers.
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National Center for Protein Sciences, Beijing, China (Research institute)