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Identifiers.org and MIRIAM Registry: community resources to provide persistent identification

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TLDR
This work describes here the new parallel identification scheme and the updated supporting software infrastructure, and introduces the new Identifiers.org service, which provides directly resolvable identifiers, in the form of Uniform Resource Locators (URLs).
Abstract
The Minimum Information Required in the Annotation of Models Registry (http://www.ebi.ac.uk/miriam) provides unique, perennial and location-independent identifiers for data used in the biomedical domain. At its core is a shared catalogue of data collections, for each of which an individual namespace is created, and extensive metadata recorded. This namespace allows the generation of Uniform Resource Identifiers (URIs) to uniquely identify any record in a collection. Moreover, various services are provided to facilitate the creation and resolution of the identifiers. Since its launch in 2005, the system has evolved in terms of the structure of the identifiers provided, the software infrastructure, the number of data collections recorded, as well as the scope of the Registry itself. We describe here the new parallel identification scheme and the updated supporting software infrastructure. We also introduce the new Identifiers.org service (http://identifiers.org) that is built upon the information stored in the Registry and which provides directly resolvable identifiers, in the form of Uniform Resource Locators (URLs). The flexibility of the identification scheme and resolving system allows its use in many different fields, where unambiguous and perennial identification of data entities are necessary.

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The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.

TL;DR: The Harmonizome is a comprehensive resource of knowledge about genes and proteins that enables researchers to discover novel relationships between biological entities, as well as form novel data-driven hypotheses for experimental validation.
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BiGG Models: A platform for integrating, standardizing and sharing genome-scale models.

TL;DR: BiGG Models is presented, a completely redesigned Biochemical, Genetic and Genomic knowledge base that contains more than 75 high-quality, manually-curated genome-scale metabolic models that will facilitate diverse systems biology studies and support knowledge-based analysis of diverse experimental data.
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BioModels: ten-year anniversary

TL;DR: BioModels as discussed by the authors is a repository of mathematical models of biological processes, which is used to verify both correspondence to the biological process that the model seeks to represent, and reproducibility of the simulation results as described in the corresponding peer-reviewed publication.
Journal ArticleDOI

The EBI RDF Platform: Linked Open Data for the Life Sciences

TL;DR: The EBI RDF platform has been developed to meet an increasing demand to coordinate RDF activities across the institute and provides a new entry point to querying and exploring integrated resources available at the EBI.
References
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Journal ArticleDOI

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

TL;DR: This work summarizes the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks, a software-independent language for describing models common to research in many areas of computational biology.
Book

Linked Data

TL;DR: This Synthesis lecture provides readers with a detailed technical introduction to Linked Data, including coverage of relevant aspects of Web architecture, and provides guidance and best practices on architectural approaches to publishing Linked data.
Journal ArticleDOI

Bio2RDF: Towards a mashup to build bioinformatics knowledge systems

TL;DR: The present article details this new approach to build mashups of bioinformatics data and illustrates the building of a mashup used to explore the implication of four transcription factor genes in Parkinson's disease.
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