Better bioinformatics software means better outcomes for scientists, patients, and the planet.


Empower research teams to build better bioinformatics tools with ease


Accelerate scientific innovations with high quality scientific software


Improve research reproducibility through proper software development and testing


Enhancing quality and efficiency in scientific software development

Magna Labs' founding, by a former Illumina bioinformatician and engineer, was inspired by years of observation that the bioinformatics tool development field was struggling to adopt conventional software development processes and technologies that have proven to be efficient in driving massive growth, acceleration and quality improvement.​

Bioinformatics scientists in industry report spending 20-60% of their time on evaluation and quality-related tasks, including benchmarking, comparative analysis, sample re-analysis, parameter tuning, sourcing or generating data, and reproducing and troubleshooting issues.

These tasks can all be automated and streamlined into our integrated and collaborative system that enables synergistic tool improvements to the development workflow.


Best in-class software testing tools  for bioinformatics

Our tool suite includes automated an interactive benchmarking and testing, data curation and synthesis, and advanced data intelligence and collaborative reporting capabilities. ​Designed for the interdisciplinary omics field, our platform consists of flexible and highly customizable modules to accommodate the diverse sequencing and biological data types and analysis tools.

Using our technology, your research team can:


Build Better

Providing an accessible, collaborative, and flexible gateway to explore test results, input data, and the relationships between them allows for evidence-based bioinformatic software development.​

Build Faster

Bringing modern software development practices to the omics field & enables R&D teams to move with speed and confidence.​

Establish Trust

Enabling rigorous, systematic, and unbiased bioinformatic tool evaluation will drive the standards forward across the research industry and in regulatory assessments.