General Information
| Description | A COBRA toolbox extension for model-driven discovery and analysis |
| Homepage | https://sourceforge.net/projects/exorca/ |
Publications
ORCA: a COBRA toolbox extension for model-driven discovery and analysis
Summary
: Over past decades, constraint-based modelling has emerged as an important approach to obtain referential information about mechanisms behind biological phenotypes and identify physiological and perturbed metabolic states at genome-scale. However, application of this novel approach to systems biology in biotechnology is still hindered by the functionalities of the existing modelling software. To augment the usability of the constraint-based approach for various use scenarios, we present ORCA, a Matlab package, which extends the scope of established Constraint-Based Reconstruction and Analysis metabolic modelling and includes three unique functionalities: (i) a framework method integrating three analyses of multi-objective optimization, robustness analysis and fractional benefit analysis, (ii) metabolic pathways identification with futile loop elimination and (iii) a dynamic flux balance analysis framework incorporating kinetic constraints.
Availability and implementation:
ORCA is freely available to academic users and is downloadable from https://sourceforge.net/projects/exorca/; a mini-tutorial is supplied in the package for training purposes as well as a software manual.
Contact:
Longfei.mao@lincolnuni.ac.nz
Supplementary information:
Supplementary data are available at Bioinformatics online.
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