Easily deploy and protect your data infrastructure in the cloud or on premises

The most advanced platform that digitizes all your R&D steps

Biological databases & storage

Benefit from ready-to-use biological knowledge bases collected and structured from reference open databases:
  • Leverage EMBL-EBI databases (Brenda, CheBI, Uniprot, Biomodels) and the NCBI taxonomy databases
  • Store, manage and secure your data in an interactive DataBox
  • Create and leverage your proprietary databases with little effort

Interoperable computing

Automate the deployment and maintenance of your digital labs in the cloud or on premises with little effort:

  • Configure your computing servers according to your needs (CPU, GPU, RAM, disk space)
  • Benefit from multi-region data replication for high a resiliency of your infrastructure in the cloud
  • Strengthen your security and reliability.
  • Access your data at anytime and from anywhere. Control your data access rights.

Bioinformatics Bricks

Leverage reference bioinformatics pipelines and create new ones in Genomics and Metagenomics, Transcriptomics, Metabolomics, and More.

You are a bio-expert:

  • Select and customise ready-to-use bricks, including popular omics tools with little effort
  • Visualise your data and results with ready-to use charts

You are a data-expert:

  • Code your own bricks from scratch without limits and with little effort (VS Code, Notebook, Conda, Bioconductor, Pandas, Scikit-Learn, Python, R, Perl, Bash, …)

AI and Machine Learning

Benefit from a broad range of ready-to-use and customisable tools for statistical analysis of biological data, machine learning and deep learning modeling:

  • Statistical tests, classification, regression, clustering algorithms, neural networks, …
  • Visualise your data and results with ready-to use charts
  • Code from scratch your own AI, ML, biostatistics algorithms (Scikit-Learn, R, Keras, TensorFlow, PyTorch …)

Digital Twins

Harness digital twins of cellular metabolism to decipher mechanisms of action and predict phenotypes.

Digital twins of cellular metabolism are whole-genome metabolic models designed to mimic the metabolic capabilities of living organisms.
With Constellab™:
  • Easily reconstruct and use whole-genome metabolic models
  • Predict single-cell metabolism and microbial interactions

Interactive Visualization

Collaboratively navigate through data, interactive reports, charts, biological maps to accelerate decision making
  • Dynamically create and share interactive reports
  • Interactively navigate through cell metabolic maps,
  • Leverage a broad range of data-science charts (Tabular, Line-plot, Bar-plots, Heatmap, Box-plot, etc …)
  • Customise existing charts to suite your needs.

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