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Nature Precedings

DOI: 10.1038/npre.2010.5128.1

Nature Precedings

DOI: 10.1038/npre.2010.5128

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MIRIAM Resources: a robust annotation and cross referencing framework

Journal article published in 2010 by Nick Juty, Camille Laibe ORCID, Nicolas Le Novère
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

_Background_ More than ever, the era of data integration has highlighted the key requirement to reference specific data in an unambiguous and perennial way, in order to enable community-level sharing, development, exchange and reuse of information. In the field of Systems Biology, which is concerned with creating quantitative models of biological processes, these requirements have directly led to the creation of the Minimal Information Required In the Annotation of Models (MIRIAM, "http://biomodels.net/miriam/":http://biomodels.net/miriam/). MIRIAM provides a specific set of guidelines that can be implemented within any structured modelling format. _Objectives_ To support the implementation of MIRIAM guidelines, we have developed MIRIAM Resources ("http://www.ebi.ac.uk/miariam/":http://www.ebi.ac.uk/miariam/). This software infrastructure facilitates the use of controlled annotations in the identification of model components. The annotation procedures described in the MIRIAM standard entail the use of a Uniform Resource Identifier (URI), thereby uniquely identifying a component without reference to its physical location. _Results_ MIRIAM Resources are a set of on-line services centred around a catalogue of data types. Data types can be ontologies, such as Gene Ontology, or primary data resources available via the Web, such as UniProt and PubMed. Each of these is uniquely identified within the MIRIAM database, and information stored regarding the corresponding physical URLs (data resources) through which their associated data can be accessed. Conversion services, to generate a MIRIAM URI from a data type name and dataset identifier, and resolution services, to generate physical locations for a given MIRIAM URI, are provided through SOAP and REST Web Services. MIRIAM annotations have become widely accepted and now used and supported by various communities, such as BioModels.net, SBML, CellML and BioPAX. _Conclusion_ The utility of MIRIAM URIs is not restricted solely to the field of quantitative modelling; MIRIAM Resources are now used by the Proteomics Standards Initiative (PSI). MIRIAM Resources allow easy access to MIRIAM URIs, as well as associated information, and facilitate the identification, exchange, and integration of data in the Life Sciences. The source code for the entire project is available, under the GNU General Public License, at: "http://sourceforge.net/projects/miriam/":http://sourceforge.net/projects/miriam/.