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The National Center for Biotechnology Information (NCBI), founded in 1988 as part of the National Library of Medicine (NLM), plays an important role in the ...
Adding enzymatic parameters to a metabolic network model helps to improve the accuracy of simulations, to understand underlying mechanisms of reactions and to predict dynamic responses of the system t...
Streamlit is a widely-used Python package that enables rapid development of data applications. It is renowned for its simplicity and efficiency, making it an ideal tool for creating interactive dashbo...
The Constellab Contest isn't just a competition; it's a movement towards open source innovation and collective knowledge in the life sciences. Are you passionate about pushing the boundaries of knowle...
GENA provides core features to create and use actionable digital twins of cell metabolism to understand and predict cell mechanisms of action.
Brick to generate dashboard form.
BIOTA is a unified and structured collection of omics data collected from official open European (EMBL-EBI) and NCBI taxonomy knowledge bases. More than 2 M organisms are referenced in BIOTA with their metabolic characteristics.