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The System Biology Format Converter 17
Gaël Jalowicki; Nicolas Rodriguez; Martina Kutmon; Jean-Baptiste Pettit; Lu Li; Arnaud Henry; Kedar Nath Natarajan; Camille Laibe; Chris T. Evelo; Nicolas Le Novère.
The System Biology Format Converter (SBFC) aims is to provide a generic framework that potentially allows any conversion between two formats. Interoperability between formats is a recurring issue in Systems Biology. Although there are various tools available to convert models from one format to another, most of them have been independently developed and cannot easily be combined, specially to provide support for more formats. The framework is written in Java and can be used as a standalone executable. This is a collaborative project and we hope that developers will provide support for more formats by creating new modules.SBFC allows anyone to easily add new converters and to integrate existing converters with a minimum of changes. We will also allow to...
Tipo: Poster Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6363/version/1
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JSBML: a flexible and entirely Java-based library for working with SBML 17
Andreas Dräger; Nicolas Rodriguez; Marine Dumousseau; Alexander Dörr; Clemens Wrzodek; Roland Keller; Sebastian Fröhlich; Nicolas Le Novère; Andreas Zell; Michael Hucka.
The specifications of the Systems Biology Markup Language (SBML) define standards for storing and exchanging computer models of biological processes in text files. In order to perform model simulations, graphical visualizations and other software manipulations, an in-memory representation of SBML is required. We developed JSBML for this purpose. In contrast to prior implementations of SBML APIs, JSBML has been designed from the ground up for the Java™ programming language, and can therefore be used on all platforms supported by a Java Runtime Environment. This offers important benefits for Java users, including the ability to distribute software as Java Web Start applications. JSBML supports all SBML Levels and Versions through Level 3 Version...
Tipo: Poster Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6372/version/1
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BioModels Database: curation and annotation 17
Michael Schubert; Ishan Ajmera; Vijayalakshmi Chelliah; Lukas Endler; Nicolas Rodriguez; Camille Laibe; Nicolas Le Novère.
The BioModels Database is a freely accessible online resource for storing, viewing, retrieving, and analyzing published, peer-reviewed quantitative models of biological processes.

In this poster we provide an overview of its capabilities, as well as the curation and annotation process with two use cases concerning blood coagulation and glucose homeostasis.
Tipo: Poster Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6361/version/1
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JSBML 17
Nicolas Rodriguez; Andreas Dräger.
The XML-based Systems Biology Markup Language (SBML) is the de facto standard file format for the storage and exchange of biochemical network models, and is supported by more than 180 software packages to date. Much of this success is due to SBML's clearly defined specifications and the availability of libSBML, a portable, robust and easy-to-use
library.
 
LibSBML provides many methods for manipulating and validating SBML files through its Application Programming Interface (API). Originally written in C and C++, libSBML also provides automatically-generated language bindings for Java, MATLAB, Perl, Python, and many more. However, the platform independence of Java is compromised in libSBML due to...
Tipo: Presentation Palavras-chave: Bioinformatics; Data Standards.
Ano: 2010 URL: http://precedings.nature.com/documents/4986/version/1
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JSBML update 17
Andreas Dräger; Nicolas Rodriguez.
This presentation gives an overview about the major changes in JSBML since the release of version 0.8-b1, which will become part of the first release candidate.
Tipo: Presentation Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6358/version/1
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JSBML: a flexible and entirely Java-based library for working with SBML 17
Nicolas Rodriguez; Marine Dumousseau; Andreas Dräger; Clemens Wrzodek; Alexander Dörr; Sarah M. Keating; Akiya Jouraku; Nicolas Le Novère; Andreas Zell; Michael Hucka.
The XML-based Systems Biology Markup Language (SBML) is the de facto standard file format for the storage and exchange of biochemical network models, and is supported by more than 180 software packages to date. Much of this success is due to its clearly defined specifications and the availability of libSBML, a portable, robust, and easy-to-use library.

LibSBML provides many methods for manipulating and validating SBML files through its Application Programming Interface (API). Originally written in C and C++, libSBML also provides automatically-generated language bindings for Java, MATLAB, Perl, and many more. However, the platform independence of Java is compromised in libSBML due to the fact that the language binding is...
Tipo: Poster Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6718/version/1
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SBFC - The Systems Biology Format Converter Framework 17
Martina Kutmon; Nicolas Rodriguez.
The System Biology Format Converter (SBFC) aims is to provide a generic framework that potentially allows any conversion between two formats. Interoperability between formats is a recurring issue in Systems Biology. Although there are various tools available to convert models from one format to another, most of them have been independently developed and cannot easily be combined, specially to provide support for more formats. The framework is written in Java and can be used as a standalone executable. Recently a prototype has been developed with OSGi to achieve a more modular framework structure. This is a collaborative project and we hope that developers will provide support for more formats by creating new modules. SBFC allows anyone to easily add new...
Tipo: Presentation Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/6370/version/1
Registros recuperados: 7
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