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<img src="./RAVEN2.png" width="200px">

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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.
## About RAVEN 2

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.


## Documentation
The information about downloading, installing and developing RAVEN is included in the [Wiki](https://github.com/SysBioChalmers/RAVEN/wiki). The source code documentation is also available
[online](http://sysbiochalmers.github.io/RAVEN/doc/).
The information about downloading, installing and developing RAVEN is included in the [Wiki](https://github.com/SysBioChalmers/RAVEN/wiki). The source code documentation is also available [online](http://sysbiochalmers.github.io/RAVEN/doc/).


## Cite Us
Expand All @@ -27,7 +26,8 @@ If you use ftINIT in your scientific work, please cite:
For crediting supporting work, please cite doi:[10.1002/msb.145122](http://msb.embopress.org/content/10/3/721) (`tInit`); doi:[10.1371/journal.pcbi.1000859](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000859) (`randomsampling`). For crediting RAVEN 1, cite doi:[10.1371/journal.pcbi.1002980](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002980). For more details, see [wiki#cite-us](https://github.com/SysBioChalmers/RAVEN/wiki#cite-us).

## Contact Us
For support, technical issues, bug reports etc., please [![Join the chat at https://gitter.im/SysBioChalmers/RAVEN](https://badges.gitter.im/SysBioChalmers/RAVEN.svg)](https://gitter.im/SysBioChalmers/RAVEN?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge). For other issues, please contact [Eduard Kerkhoven](https://www.chalmers.se/en/persons/eduardk/).
Use [GitHub Discussions](https://github.com/SysBioChalmers/RAVEN/discussions) for support, to ask questions or leave comments.

## Contributing

## More from SysBio Chalmers
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](https://github.com/SysBioChalmers). For more information and publications by the Systems and Synthetic Biology please visit [SysBio](https://www.sysbio.se/).
Contributions are always welcome! Please read the [contributing guidelines](https://github.com/SysBioChalmers/GECKO/blob/main/.github/CONTRIBUTING.md) to get started.

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