Reproducible by Design

Latest — 06 Apr 2026

A Modern R Workstation

You have probably seen this workflow, or lived it. RStudio on one half of the screen, ChatGPT on the other. Write some code, run it, get an error, copy the error, paste it into the chat, wait, copy the suggestion back, find the right line in the script, paste, run

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Building High-Performing Research Teams: What Science Can Learn from Agile

Good research teams tend to share a few things: they coordinate well, learn fast, and adapt when things don't go as planned. People still own their individual projects, but they also build on each other's work, share methods, and catch problems before they compound. That kind

Data Security in Metagenomic and Genomic Research Pipelines

In high-throughput bioinformatics, reproducibility is usually framed as an engineering problem: containerized workflows, pinned references, and versioned dependencies. For teams working with human-derived metagenomic data, that framing is incomplete. The moment raw reads can contain host DNA, reproducibility collides with privacy and governance. Biological samples such as blood, stool, saliva,

SciOps: the missing operational layer for modern research teams

I came into research from industry, after years in software factories, telecoms and a global consultancy firm where DevOps/DevSecOps were daily tools. I lived the "works on my machine" failures and the whole-weekend deployments they triggered. Operational thinking mattered there because it made delivery reliable, handoffs safe,

Effective Timeboxing: stop debating, start shipping

When a team can’t move past “one more discussion,” timeboxing converts disagreement into progress—without sacrificing rigor.

Your first production-grade pipeline (with a Nextflow example)

A production-grade pipeline isn’t “it runs once”: it’s rerunnable, reproducible, portable (local/HPC), observable on failure, smoke-tested fast, and versioned for defensible results. This post defines “production-grade” minimally and shows the practical steps to build it—today, with a template.

Reproducible by Design: evidence-informed guidance for science that ships

Practical reproducibility for bioinformatics and research software—plus delivery practices that help teams ship trustworthy science.

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