Approach
Modular Biotech Research, adaptable Data Workflow, Bioinformatics Innovation, scalability, reproducibility, polyglot, scalable, reproducible
Intuitive Data Workflow Approach
Our approach to data workflow development, powered by the Viash Ecosystem, is built on years of experience in data workflow development and a deep understanding of our clients’ needs.
Beyond just developing 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 static and manually developed data workflow structures.
Ecosystem
Our Data Workflow Suite consists of the Viash Tool, the Viash Hub platform and an extensive repository of bioinformatics data workflows and modules: Viash Catalogue.
Viash Catalogue
The open-source Viash Catalogue offers a comprehensive collection of publicly available bioinformatics data workflows and modules. They are ready for stand-alone use or integration into larger data workflows.
Viash Hub
Viash Hub is a platform for managing, deploying, and sharing bioinformatics modules and workflows.
It allows users to publish, share, and maintain versioned modules, ensuring reusability and easy access following the FAIR principles.
Optimised for cloud and HPC environments, it simplifies launching data workflows.
Viash
Viash is the open-source tool developed by Data Intuitive to manage, deploy, and share 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 Nextflow pipelines, Viash minimizes manual boilerplate coding, significantly boosting maintainability and reducing errors.
Quality Framework
Through the quality framework, each data analysis building block is crafted to meet modularity, standardisation, and technically state-of-the-art best practices.
By generating the modular building blocks based on the predefined specifications, we can ensure a consistently high quality in built data analysis and workflow solutions.
Modularity
Our approach promotes modularity by building biotech data analysis workflows from independent, self-contained components. Each component serves a specific purpose and can operate stand-alone or integrate into larger pipelines.
This modular framework improves workflow flexibility, simplifies maintenance, and enables component reuse across different projects.
- Workflows consist of modular blocks, easily combined into workflows. Complete workflows can also be used as modular building blocks.
- Scientific research and IT operations are technically separated within each building block to optimise resource efficiency.
Standardisation
Standardisation ensures that each modular building block is built according to a predefined structure, promoting consistent quality, compatibility, and ease of use across workflows.
This framework provides a foundation that reduces the learning curve, making it easier for users to adopt and implement the workflows.
- Functional standardisation: script language independence, reproducibility, scalability, executability, and cross-platform compatibility.
- Development and usage standardisation: dependency and argument handling, documentation, code testing, maintenance and debugging.
Technical Excellence
Technical excellence ensures operational quality, reliability and optimal performance across all building blocks and technologies used , drawing on the company's years of bioinformatics data analysis and data workflow development expertise.
Each technique is thoroughly documented and tested to create robust, industry-ready data analysis.
- Core capabilities: polyglot (all common scripting languages), scalability frameworks (currently Nextflow), containerisation for reproducibility (currently Docker, Podman, Singularity).
- Enhanced development support: CLI options, tools and aids that streamline development, testing and maintenance processes.
Code Generation
The Viash tool takes care of boilerplate code generation to automate the creation of executable workflows based on a user's description and the predefined technical excellence.
This ensures modularity, standardisation, and consistent code quality, while reducing manual coding efforts and preventing development errors.
- Automated outputs: ready-to-use data analysis with command-line options, documentation, and optimised code for each predefined technical framework.
- Efficiency & quality: simplifies development and deployment, enabling robust data analysis without extensive manual coding or specialised technical skills.