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The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc databases, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology.
For support, technical issues, bug reports etc., please . For other issues, please contact Eduard Kerkhoven.
If you are using RAVEN in any scientific work, please cite: H. Wang, S. Marcišauskas et. al, “RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor” PLoS Comput. Biol., vol. 14, no. 10, p. 1006541, Oct. 2018.
For more systems biology related software and recently published genome-scale models from the Systems and Synthetic Biology group at Chalmers University of Technology, please visit the GitHub page. For more information and publications by the Systems and Synthetic Biology please visit SysBio.
- Introduction
- Installation
- External Databases
- Getting Started
- Model Reconstruction from KEGG
- Option 1: Based on KEGG Organism Code
- Option 2: Based on Homology Search Against KEGG Orthology Specific HMMs
- Option 2-a: Use Pre-Trained HMMs
- Option 2-b: de novo Generate HMMs
- Development Policy
- Known Issues
- Developer Protocols