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| Camille Laibe. |
| Quantitative models of biological systems provide an understanding of chemical and biological phenomena based on their underlying mechanisms. Moreover, they can be used for example, to predict the behaviour of a system under given conditions or direct future experiments. This has made quantitative models the perfect tools to answer a variety of questions in the biological sciences and has lead to a steady growth of the number of published models.

To maximise the benefits of this growing body of models, the field needs centralised model repositories that will encourage, facilitate and promote model dissemination and reuse. BioModels Database(http://www.ebi.ac.uk/biomodels/) has been developed to exactly fulfil those needs.... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics; Data Standards. |
| Ano: 2012 |
URL: http://precedings.nature.com/documents/7013/version/1 |
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| Camille Laibe. |
| The MIRIAM Registry 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 a unique 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. We present here the new Identifiers.org service which 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... |
| Tipo: Presentation |
Palavras-chave: Data Standards. |
| Ano: 2011 |
URL: http://precedings.nature.com/documents/6479/version/1 |
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| Camille Laibe. |
| This presentation gives a short introduction of MIRIAM Resources ("http://www.ebi.ac.uk/miriam/":http://www.ebi.ac.uk/miriam/), a robust annotation and cross referencing framework, based on URNs.

The presentation also explains some potential issues with the current system and presents a possible solution.

Finally, the presentation introduces some forthcoming and suggested updates and extensions to the current infrastructure. |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5130/version/1 |
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| Chelliah Vijayalakshmi; Lukas Endler; Camille Laibe; Chen Li; Nicolas Le Novère. |
| BioModels Database ("http://www.ebi.ac.uk/biomodels/":http://www.ebi.ac.uk/biomodels/) is a free resource for storing, viewing and retrieving published, peer-reviewed, quantitative models of biochemical and cellular systems. As a storage format, BioModels Database uses the Systems Biology Markup Language (SBML), but also allows submission and export of models in various other commonly used formats.

To offer scientists reliable information, models are curated to comply with the MIRIAM (Minimal Information Requested In the Annotation of biochemical Models) standard. This curation process involves verification of the model structure, the parameter and variable values and its mathematical relations.... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3124/version/1 |
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| Anna Zhukova; Dagmar Waltemath; Nick Juty; Camille Laibe; Nicolas Le Novère. |
| To enable the accurate and repeatable execution of a computational simulation task, it is important to identify both the algorithm used and the initial setup. These minimum information requirements are described by the MIASE guidelines. Since the details of some algorithms are not always publicly available, and many are implemented only in a limited number of simulation tools, it is crucial to identify alternative algorithms with similar characteristics that may be used to provide comparable results in an equivalent simulation experiment. The Kinetic Simulation Algorithm Ontology (KiSAO) was developed to address this issue by describing existing algorithms and their inter-relationships through their characteristics and parameters. The use of KiSAO in... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics; Data Standards. |
| Ano: 2011 |
URL: http://precedings.nature.com/documents/6330/version/1 |
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| Camille Laibe; Nick Juty; Nicolas Le Novère. |
| _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... |
| Tipo: Poster |
Palavras-chave: Bioinformatics; Data Standards. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5128/version/1 |
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| Registros recuperados: 12 | |
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