Give life to your data
We provide the end-to-end open platform to give life to your data going from data federation, analytics, to insight extraction
Unify and secure your multi-source data all along your R&D and production value chain by connecting your data repositories (LIMS, ELN, Datawarehouse, Databases) and devices to Constellab™
Preserve the whole memory of your R&D
Better manage your lab knowledge
Accelerate the querying and exploration of your data
Accelerate the integration and analysis of your data
Effortlessly make your data sustainably Findable, Accessible, Interoperable and Reusable
Integrate biological data and extract new insights using ready-to-use and customisable bioinformatics pipelines (omics, clinical, imaging, environmental data, …).
Prepare and process your raw data
Benefit from top reference bioinformatics and biostatistics algorithmes to analyse your data (Cell mechanisms of action, Target discovery, etc.)
Navigate through your data, results and create reports for fast decision making
Explore cell metabolism maps, assess hypotheses, and extract new insights from your omics data
Collaboratively navigate through interactive metabolic maps
Map your multi-omics data onto metabolic maps
Reconstruct whole-genome metabolic models for well-known or unknown organisms
Leverage a broad range of ready-to-use metabolic models collected from open and partner databases
Use digital twins of cellular metabolism to understand modes of action and host-pathogen metabolic interactions
Leverage ready-to-use models or reconstruct whole-genome metabolic models using our knowledge base
Contextualize and create your own digital twins using your data
Omics data,
Culture conditions,
KO hypotheses
Test thousands of biological hypotheses in silico to accelerate wet lab pipelines
Single-cell metabolism
Metabolic interactions during cell co-culture
Use digital twins of cell metabolism to
design and optimise your strains early in your R&D processes,
optimise, monitor and control your bioprocesses,
improve your production yields.
