Scientists in drug discovery work with a lot of data. They're expected to translate this complexity into clear high-impact decisions that can shape entire drug programs.
BioBox simplifies this with our Graph Reasoning Models!
Learn more here 👇
BioBox
@BioBoxAnalytics
Reasoning engines to decode disease biology.
- "...the true value of a knowledge graph lies not in its complexity but in its utility." Check out our latest blog post by @biobox_chris where we share guidance on how to do useful things with multi-omic knowledge graphs. #KnowledgeGraph #multiomics
- Knowledge Infrastructure for the Modern Biopharma. Check out our latest post where we highlight how teams are using the BioBox platform to solve complex drug discovery challenges.
- 🚀 v5.5.0 is out with some highly requested updates! Object Views and Search. Find any object in your data graph quickly with smart lookups. Remove unused data packages from your graph. Read more about it here👇 docs.biobox.io/release-notes/…
- 🚀 BioBox v5.3.0 just landed! Data packages now have their data dependencies mapped, ensuring your graph is semantically sound. Exporting network graphs as .png and extracting nodes and edges into a .csv file Read the release notes here:
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