https://github.com/biocentral/biocentral
Biomedical data, from lab to paper.
https://github.com/biocentral/biocentral
bayesian-optimization dart embeddings flutter models protein protein-protein-interaction
Last synced: 6 days ago
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Biomedical data, from lab to paper.
- Host: GitHub
- URL: https://github.com/biocentral/biocentral
- Owner: biocentral
- License: gpl-3.0
- Created: 2024-07-26T16:43:24.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-01-13T18:22:21.000Z (about 1 month ago)
- Last Synced: 2026-01-13T20:53:13.789Z (about 1 month ago)
- Topics: bayesian-optimization, dart, embeddings, flutter, models, protein, protein-protein-interaction
- Language: Dart
- Homepage: https://app.biocentral.cloud/
- Size: 16.3 MB
- Stars: 15
- Watchers: 1
- Forks: 2
- Open Issues: 42
-
Metadata Files:
- Readme: README.md
- Changelog: Changelog.md
- Contributing: Contributing.md
- License: LICENSE
- Dco: DCO
Awesome Lists containing this project
README
# Biocentral
Biomedical data, from lab to paper.
## 🧬 About
Biocentral is an open-source, innovative bioinformatics platform designed to bridge the gap between the
latest developments in bioinformatics and applications in molecular biology and diagnostic medicine.
Check out our **getting started** [guide](docs/getting_started.md) to learn how to use biocentral.
### Key Features
- **User-Friendly GUI**: Simplify complex protein data analysis, visualization, and modeling.
- **One-Click AI Model Training**: Train AI models on your data with just a few clicks.
- **Distributed Computing**: Run computational heavy operations on high-performance servers and
inspect the results on your personal machine.
- **Take Your Data Everywhere**: All major desktop platforms (Windows, macOS, Linux) and browsers are supported.
- **Open Source and FAIR**: Committed to open science and FAIR principles.
- **Customizable Plugins**: Work only with the functionality that is fitting your specific research.
## 🛠️ Installation
Download and install the latest version for your operating system
from [GitHub](https://github.com/biocentral/biocentral/releases), or use it directly in the
[browser](https://app.biocentral.cloud).
**Current platform compatibility**:
| Platform | Compatible |
|----------------|:----------:|
| Web | ✅ |
| Linux | ✅ |
| Windows | ✅ |
| MacOS | ✅ |
| Android Tablet | ❌ |
| Apple Tablet | ❌ |
## 🤝 Contributing
We heartily welcome contributions! Check out our [contributing guidelines](Contributing.md) for details.
If you are a researcher in any related field (biology, medicine, informatics, ...) and want to use biocentral
for your work, please do not hesitate to get in touch in case you encounter any issues or want to participate in the
development of *biocentral*: [info@biocentral.cloud](mailto:info@biocentral.cloud)
## 📚 Documentation
Comprehensive documentation, tutorials, and API references are
available at [biocentral.cloud](https://biocentral.cloud).
## 📄 License
Biocentral is open-source software licensed under the GNU General Public License v3.0. See the [LICENSE file](LICENSE)
for details.
## 📜 Citation
Please cite [our paper](https://doi.org/10.1016/j.jmb.2026.169673) if you are using *biocentral* in your work:
```text
@Article{Franz2026,
author = {Franz, Sebastian and Olenyi, Tobias and Schloetermann, Paula and Smaoui, Amine and Jimenez-Soto, Luisa F. and Rost, Burkhard},
journal = {Journal of Molecular Biology},
title = {biocentral: embedding-based protein predictions},
year = {2026},
issn = {0022-2836},
month = jan,
pages = {169673},
doi = {10.1016/j.jmb.2026.169673},
groups = {[JMB] biocentral: embedding-based protein predictions, swc_bo_engineering},
publisher = {Elsevier BV},
}
```