Background: Computational simulation of complex biological networks lies at the heart of systems biology since it can confirm the conclusions drawn by experimental studies of biological networks and guide researchers to produce fresh hypotheses for further experimental validation. Since this iterative process helps in development of more realistic system models a variety of computational tools have been developed. In the absence of a common format for representation of models these tools were developed in different formats. As a result these tools became unable to exchange models amongst them, leading to development of SBML, a standard exchange format for computational models of biochemical networks. Here the formats of SBML and one of the ...
Computational models can help researchers to interpret data, understand biological function, and mak...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...
Background: Computational simulation of complex biological networks lies at the heart of systems bio...
Motivation: Analysis and simulation of pathway data is of high importance in bioinformatics. Standar...
Motivation: Analysis and simulation of pathway data is of high import-ance in bioinformatics. Standa...
The recent revolutionary developments concerning the high throughput (-omics) measuring techniques i...
Online databases store thousands of molecular interactions and pathways, and numerous modeling softw...
With the rise of Systems Biology as a new paradigm for understanding biological processes, the devel...
<p>Biological models are abstract representations of biological processes. Models can be diagrammati...
Reactions forming a pathway can be rewritten by making explicit the different molecular components i...
Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the...
Computational models can help researchers to interpret data, understand biological function, and mak...
Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the...
The Systems Biology Markup Language (SBML) is an XML-based format for representing mathematical mode...
Computational models can help researchers to interpret data, understand biological function, and mak...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...
Background: Computational simulation of complex biological networks lies at the heart of systems bio...
Motivation: Analysis and simulation of pathway data is of high importance in bioinformatics. Standar...
Motivation: Analysis and simulation of pathway data is of high import-ance in bioinformatics. Standa...
The recent revolutionary developments concerning the high throughput (-omics) measuring techniques i...
Online databases store thousands of molecular interactions and pathways, and numerous modeling softw...
With the rise of Systems Biology as a new paradigm for understanding biological processes, the devel...
<p>Biological models are abstract representations of biological processes. Models can be diagrammati...
Reactions forming a pathway can be rewritten by making explicit the different molecular components i...
Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the...
Computational models can help researchers to interpret data, understand biological function, and mak...
Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the...
The Systems Biology Markup Language (SBML) is an XML-based format for representing mathematical mode...
Computational models can help researchers to interpret data, understand biological function, and mak...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...
Systems biology has experienced dramatic growth in the number, size, and complexity of computational...