Introduction

Drylab is a broad, comprehensive environment designed to support many types of biomedical analysis in one place. It includes a wide range of tools across genomics, proteomics, metabolomics, imaging, flow cytometry, machine learning, and workflow automation, and prioritizes flexibility and coverage.

Drylab in 4 minutes

A quick video tour of the Drylab platform and the Desktop App.

Platform overview

Desktop App: the best choice for large-scale data and security

Main elements

Drylab is organized around three main elements: the Chatbox, where you describe what you want; the Notebook, where the AI writes and runs code; and the Vault, where your files persist across sessions.

Core capabilities

• Multi-omics analysis: bulk and single-cell RNA-seq, genomics and variant analysis, epigenomics (ChIP-seq, methylation), proteomics and metabolomics, systems biology and pathway analysis.
• Imaging and pathology: microscopy image analysis, cell segmentation and tracking, histology and whole-slide imaging, feature extraction.
• Flow and mass cytometry: preprocessing, clustering and population discovery, integration with transcriptomic data.
• Drug discovery and chemistry: molecular descriptors and fingerprints, QSAR modeling, docking preparation and ADMET prediction.
• Machine learning and statistics: classical and modern ML models, AutoML and hyperparameter tuning, Bayesian modeling, model interpretation and explainability.
• Workflow automation: reproducible pipelines, scripted end-to-end analyses, scalable batch processing.

For example packages in the sandbox image, see Compute Environments.

Typical applications

• Multi-modal studies (e.g. RNA-seq + proteomics + imaging)
• Core facilities and platform labs
• Method development and benchmarking
• Projects with evolving or unclear analysis needs

Next steps