Approach

Keywords

Modular Biotech Research, adaptable Data Workflow, Bioinformatics Innovation

Streamlined Data Analysis

Intuitive Data Workflow Approach

Our approach to data workflow development, powered by the Viash tool and Viash Hub platform, is built on years of experience in data workflow development and a deep understanding of our clients’ needs.

More than just developing a functional data workflows, the solution champions a flexible, long-term and future proof approach in data processing that is easily integratable into existing environments , moving away from traditional fixed and manually developed data workflow structures.

Continuous Improvement

The cycle is a clear step-by-step process
that transforms your data analysis workflow approach to an efficient and organised process.

Discover

Search the Viash Catalogue for ready-to-use analysis tools required for your workflow.

Develop

For any missing tools, we can either adapt a script you provide or develop a custom solution.

Build

Convert the newly developed scripts into a ready-to-run tool using Viash, enabling seamless integration with other tools.

Publish

Publish the new ready-to-run tools privately or in the Viash Catalogue, deciding whether it remains your intellectual property or becomes open source.

Compose

Combine the various tools into a cohesive biotech data workflow, ensuring seamless data flow between the elements.

Deploy

Deploy the data workflow on your scalable cloud provider or HPC, ensuring it is easily usable and operational.

Overcoming Key Industry Challenges

Our approach and technical implementations address key strategic and operational challenges in data workflow development.

Our Solutions to Key Strategic Challenges

Future Proofing

Focus on core development

Viash enables researchers to concentrate on the core functionality of their script, while Viash handles the future compatibility.

Stay up-to-date with the latest technologies

Viash enables easy rebuilding of modules with the latest versions and technologies, ensuring long-term compatibility.

Avoid vendor lock-in

Viash ensures seamless integration of new tools into existing workflows, enhancing flexibility and adaptation to evolving technologies.

Automate and Optimise

Automate boilerplate generation

Viash automatically generates standardised, executable modules from your scripts.

Reduce operational errors

Minimize errors by automated boilerplate code generation and expand operational possibilities.

Focus on research

Scientists can dedicate more time to research, while Viash handles the operational IT tasks.

Implement Modularity

Build workflows from stand-alone modules

Viash turns your scripts into self-contained executable modules. Each tool can easily be run as a stand-alone module or combined with other modules to build workflows.

Simplify updates and workflow maintenance

Viash modules are easy to update and maintain, and remove the need to rebuild workflows with evolving technologies.

Enable Collaboration

Facilitate interdisciplinary collaboration

Viash boosts collaboration across teams by creating standardised tools.

Secure teamwork

A Private Viash Hub^* ensures secure, organization-wide collaboration.

Bridge academia and industry

The Public Viash Hub^* fosters collaboration between academia and industry.

Manage Capabilities

Preserve computational knowledge^*

Viash ensures the longevity of in-house knowledge by promoting reusability and standardization of tools while safeguarding expertise.

Strategic management overview^*

The high level of standardization provides the management with a clear overview for planning and resource management.

Achieve Industry-Readiness

Make academic tools industry-ready

Viash transforms academic scripts into industry-ready tools and workflows.

Improve biotech operations

Streamline development, operations, and management^* in biotech data analysis.

^{* Available 2025}

Our Solutions to Key Operational Challenges

Operations

Promote Reproducability

Automate the creation of runtime containers from dependency specifications, seamlessly integrating them into standardised computational modules. This ensures data reproducability and enables efficient validation.

Ensure Scalability

Generate the (boilerplate) code to turn a code block into a Nextflow module, allowing scalable execution as a stand-alone module or as part of a computational workflow.

Provide Cross-Platform Functionality

Viash-generated modules are compatible with all Nextflow-supported platforms and ensure cross-platform functionality. Modules run on HPC systems, Amazon AWS and Google Cloud out of the box.

Make Data Analysis Ready-to-Run

Generate executables from source scripts in the programming language of your choice. The executable includes all dependencies required to run your script, enabling immediate execution from without further configuration or installation.

Enable Efficient Troubleshooting

Module and pipeline debugging facilities are built into every module that is generated.

Development

Create Self-Contained Executables

Your source script is packaged into an executable that manages all dependencies to run your script, ensuring compatibility and functionality.

Enable Straightforward Workflow Composition

The creation of data workflows is streamlined using either Viash Modules or other Viash-enabled workflows as building blocks. Each module can be executed as a stand-alone entity.

Integrate Module Unit Testing

Unit testing for modules and workflows ensures their correct functioning in the larger data workflow.

Setup workflow (CI/CD) ^*

Viash Hub automates continuous integration and deployment, including code merging, automated testing, version control, and deployment to Viash Hub environments, ensuring minimal manual effort during development.

Control Linked Versioning ^*

Viash Hub tracks the versions of individual modules within a pipeline as well as the the overall pipeline version. This creates a comprehensive overview of experiments, updates, and compatibility.

Usability and Accessibility

Make Data analysis management FAIR^*

Viash Hub adheres to FAIR principles by ensuring that ready-to-use Viash Modules are findable, accessible, interoperable, and reusable through advanced search, open access, DOI, support for multiple script languages, and comprehensive documentation.

Make Modules Easy-to-Run^*

Viash Hub offers an intuitive interface with one-click execution for data workflows, enabling users to perform complex analyses effortlessly.

Enhance User Experience^*

Viash Hub provides intuitive navigation, responsive performance, robust functionality, comprehensive support, and strong security measures, ensuring a satisfying user experience.

Benefit from Extensive Documentation

Viash Hub features a beginner-friendly learning curve with step-by-step guidance, extensive documentation for rapid learning and quick project initiation.

Leverage Community Contributions^*

The Public Viash Hub supports community contributions and user development by facilitating the creation of publicly available self-developed modules, enhancing collaborative biotech research.

Risk-Mitigation

Enable Vendor Neutrality

Viash and Viash Hub are developed with vendor neutrality in mind: our vision is to allow building for different open-source platforms. The resulting executable does not require Viash anymore and can be run using the respective workflow platform.

Benefit from Quality Overview^*

Viash Hub includes peer reviews, comments, and testing for data analysis components. This allows users to provide feedback and ratings, simplifying the selection process based on community insights and scores.

Mitigate Security Risks

Each Viash module contains the operational measures required for ISO 2700. Viash Hub employs robust security measures for containers, including access controls for both public and private platforms. Data Intuitive conducts regular security audits to protect sensitive data and intellectual property, striving for ISO 27001 compliance.

Ensure FDA 21 CFR Part 11 Compliance ^PRO

Achieving FDA 21 CFR Part 11 compliance in data workflow development is challenging, as it demands secure, traceable, and tamper-proof processes, along with proper audit trails and electronic signatures. While Viash natively generates some of these compliance features, Data Intuitive offers a comprehensive service to help organisations address the remaining challenges, ensuring workflows meet the stringent regulatory standards.

Validate Data Workflow Code ^PRO

Validating data workflow code is essential to guarantee accuracy, reproducibility, and regulatory compliance. Without proper validation, workflows can yield unreliable results, risking both operational integrity and compliance. Data Intuitive provides expert validation services, ensuring that your workflows are thoroughly tested, reliable, and meet industry standards for consistency and performance.

^{* Available 2025}

Download our whitepaper to see how our approach tackles your data analysis challenges!

Viash Ecosystem

Our Data Workflow Suite consists the Viash Tool, the Viash Hub platform and an extensive repository of biotech data workflows and tools: Viash Catalogue.

Viash Catalogue

The open-source catalogue on Viash Hub offers a comprehensive collection of publicly available biotech data workflows, modules, and useful tools , all ready for individual use or for composing into larger data workflows.

Viash Hub

Viash Hub Public is a platform for managing, developing, deploying, and sharing bioinformatics tools and workflows.

It allows users to publish, share, and maintain versioned modules, ensuring accessibility and reusability.

Optimised for cloud environments, it simplifies launching data workflows.

Available 2025

Viash

Viash is the tool developed by Data Intuitive to create, standardise, and manage data workflows. It automates the generation of modular, executable components, ensuring that workflows are reproducible, scalable, and easily integrated into various computational environments.

Engineered with deep expertise in pipelines and Nextflow, Viash minimizes manual coded boilerplate coding and development errors, significantly boosting efficiency.