Data Science

Launch Jupyter or RStudio environments instantly with essential packages for biostatistics, bioinformatics, and machine learning pre-installed. Access Bioconductor, Seurat, pandas, NumPy, PyTorch, tidyverse, edgeR, and more—no setup required.

Access all your datasets and cohort snapshots directly within your environment—no data transfers or duplication. Your data is ready to analyze the moment you launch.

Select the exact memory, storage, CPUs, and GPUs required for your analysis. Run both simple statistical analyses and intensive tasks like QTL analysis or deep learning without infrastructure management.

Add and manage custom packages in Python and R as your analysis needs evolve. Start with pre-installed essentials and install additional libraries as required. Your environment adapts with your research, with all changes persisting across sessions.

Deploy custom environments using your own container images, E.g.,  CellDega for spatial transcriptomics. Manifold can centrally manage and distribute these applications across your team.

Sensitive datasets remain protected in their secure environment while researchers get full computational power.

Manifold automatically updates its compute environments to maintain security and compliance. Packages, operating systems, and containers receive background updates addressing vulnerabilities. Researchers access the latest, most secure software without manual intervention.

Standardize computing setups across your organization so that every analysis is reliable, repeatable, and audit-ready.

Monitor compute usage and costs transparently for grant compliance and resource allocation. Stay within budget with comprehensive monitoring tools and built-in cost controls.