Workbench

Workbench, by DNAstack, is a standards-compliant solution for performing omics data analysis in your own environment. Designed for researchers and data scientists working across life sciences disciplines, it enables secure, flexible analysis of genomic and other omics data either on premises or in the cloud, while keeping data under the control of the user or the governing data steward at all times.

Workbench simplifies complex data analysis workflows by providing access to over a thousand community-developed pipelines, as well as the ability to create and run custom pipelines. It is built on open standards established by the Global Alliance for Genomics & Health (GA4GH) and other internationally recognized standards bodies, ensuring enterprise-grade interoperability and compliance.

Core Capabilities

• Run industry-standard workflows on omics data using a large library of community-developed pipelines or custom-built pipelines.
• Connect to compute engines in your own environment, whether on premises or in the cloud, ensuring data sovereignty at all times.
• Analyze data from large and growing global federated networks spanning neuroscience, viral disease, oncology, rare disease, and infectious disease.
• Process data from any sequencing instrument, with streamlined support for meticulously developed and tested pipelines across multiple instruments.
• Train AI and ML models across federated networks powered by DNAstack's Publisher and Explorer products, enabling federated learning without moving data.

Automation and Programmatic Tools

• Includes command line tools for programmatically submitting analysis runs.
• Supports event-driven automation, such as automatically triggering analysis when new samples come off a sequencer.
• Enables scalable, repeatable workflows suitable for high-throughput research environments.

Dashboard and Run Management

• Provides a visual dashboard for monitoring analyses, displaying critical metrics including success rates and run times.
• Supports searching, filtering, and managing large batches of runs using tags for efficient job tracking.
• Gives researchers clear visibility into the status and performance of large-scale computational jobs.

Federated Learning

• Enables training of AI and ML models across federated networks without requiring data to be moved or centralized.
• Unlocks insights from larger and more diverse datasets by leveraging distributed data sources through integration with Publisher and Explorer.

Pricing and Open Standards

• Workbench is free to use, with no margins or license fees — users pay cloud providers directly for storage, compute, and networking consumed.
• Built by global leaders in open science and interoperability, implementing GA4GH and other internationally recognized open standards.
• Designed with security and privacy by design to support compliance with international privacy standards and regulations.

Workbench integrates with leading cloud and sequencing platforms and is part of the broader DNAstack Omics AI ecosystem, which includes Publisher and Explorer for federated data sharing and discovery. Its architecture supports deployment flexibility and is suited for institutions requiring compliant, interoperable, and scalable genomic data analysis infrastructure.