SBML level 3 package - flux balance constraints version 2
Constraint-based modeling is a well established modeling methodology used to analyze and study biological networks on both a medium and genome scale. Due to their large size and complexity such steady-state flux models are, typically, analyzed using constraint-based optimization techniques, for exam...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
[2018]
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| In: |
Journal of integrative bioinformatics
Year: 2018, Jahrgang: 15, Heft: 1, Pages: 1-39 |
| ISSN: | 1613-4516 |
| DOI: | 10.1515/jib-2017-0082 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1515/jib-2017-0082 Verlag, kostenfrei, Volltext: https://www.degruyterbrill.com/view/j/jib.2018.15.issue-1/jib-2017-0082/jib-2017-0082.xml 
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| Verfasserangaben: | Brett G. Olivier/Frank T. Bergmann |
| Zusammenfassung: | Constraint-based modeling is a well established modeling methodology used to analyze and study biological networks on both a medium and genome scale. Due to their large size and complexity such steady-state flux models are, typically, analyzed using constraint-based optimization techniques, for example, flux balance analysis (FBA). The Flux balance constraints (FBC) Package extends SBML Level 3 and provides a standardized format for the encoding, exchange and annotation of constraint-based models. It includes support for modeling concepts such as objective functions, flux bounds and model component annotation that facilitates reaction balancing. Version two expands on the original release by adding official support for encoding gene-protein associations and their associated elements. In addition to providing the elements necessary to unambiguously encode existing constraint-based models, the FBC Package provides an open platform facilitating the continued, cross-community development of an interoperable, constraint-based model encoding format. |
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| Beschreibung: | Online erschienen: 09.03.2018 Gesehen am 24.03.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 1613-4516 |
| DOI: | 10.1515/jib-2017-0082 |