A Challenge in Bioinformatics: Accessibility
One of the most overlooked challenges in bioinformatics is accessibility. Consider the effort required to install and run a new tool. The process often involves navigating a complex web of dependency conflicts, obtaining administrator privileges on compute clusters, and overcoming a range of technical obstacles. Even after addressing these challenges, there is no guarantee that the tool will work seamlessly. Poor documentation, outdated dependencies, and a lack of regular maintenance are just some of the frustrations researchers face when adopting new tools.
These barriers not only slow research progress but can also shorten the lifecycle of computational tools. Many are developed as part of a thesis or research project and are rarely maintained once that work concludes, eventually ending up in a digital graveyard. As a result, tools with significant potential may never reach their full impact or make the transition into production, where they could support broader scientific advancement and, in some cases, create commercial value.
Introducing BioDevOps
This blog explores the intersection of bioinformatics and DevOps—two disciplines that, when brought together, have the potential to improve how we approach scientific computing. Through this platform, I will share the problems I have encountered and the solutions I have designed as an engineer working in this space.
Beyond bioinformatics, I’ll also explore topics such as hardware tinkering, cloud computing, infrastructure, and software optimisation—areas I have found both fascinating and valuable while working in the field. The idea for this blog began during my PhD, when I developed my first R package. During that time, I came across numerous packages that had supported significant research but were no longer maintained or compatible with modern software environments.
That experience highlighted a broader challenge: scientific software should not only solve a problem today, but remain usable, maintainable, and reproducible tomorrow. It reinforced the need for bioinformatics solutions that are sustainable, scalable, and accessible to the people who depend on them.
Making Bioinformatics Tools Plug-and-Play
At its core, BioDevOps is about combining software engineering and DevOps principles with bioinformatics to create tools and workflows that are:
- Highly available
- Accessible
- Fault-tolerant
- Reliable
By adopting practices such as automated testing, containerisation, continuous integration and deployment (CI/CD), infrastructure automation, and cloud-native development, we can improve the way bioinformatics tools are built, deployed, and maintained. The goal is to make these tools not only reliable and scalable, but genuinely plug-and-play—allowing researchers to focus on their science rather than spend their time troubleshooting software environments.
If you’re curious about how engineering can elevate bioinformatics, this blog is for you. Whether you’re a researcher, developer, engineer, or simply someone interested in the future of scientific computing, I hope you’ll find useful ideas, experiments, and practical approaches here.
Welcome to BioDevOps—where bioinformatics meets engineering for a more scalable and accessible future.
Have thoughts, questions, or suggestions? I’d love to hear them.