That was the best summary of our last meeting recording the podcast “Artificial Intelligence Is Not Artificial Wisdom.”
Marjorie Mccubbins Muhammad Izhar Ul Haq and I talked about “𝐫𝐞𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐛𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐞𝐫𝐚 𝐨𝐟 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞” (inspired by a hugely popular article published this year)
As a bioinformatician, the most common request I receive is to analyze sequencing data. I prepared this seminar focused on the recommendations I would love to have when I’ve started on this path.
Whether you’re working with private or public data, here’s the workflow I always recommend:
✅ Set up a clean project folder from day one
✅ Estimate your file sizes and check storage & compute capacity
✅ Retrieve your raw data (private or public sources)
✅ Run QC — non-negotiable
✅ Launch your NGS pipeline of choice
💡 Pro tip: always run the full pipeline on a single sample first to benchmark time and resources.
If you’re not sure where to begin, let’s talk. Book a free 30-minute call and we’ll design a plan tailored to your data and goals.
As a bioinformatician, I’ve seen firsthand how integrating Open Science principles 𝒆𝒔𝒑𝒆𝒄𝒊𝒂𝒍𝒍𝒚 𝑭𝑨𝑰𝑹 𝒅𝒂𝒕𝒂 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒆𝒔 can significantly boost quality and productivity in research projects.
It’s true that at the beginning there is a significant initial investment of time and effort. But when you reach 𝐩𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐢𝐦𝐞 and resources, energy, and budget become limited—that early investment pays off… exactly the opposite of traditional approaches.
If your team feels stuck and you want to implement FAIR principles with Agile methodologies in your bioinformatics workflows, I’d be happy to help. Let’s schedule a free 30-minute call to design a clear plan and innovate together.
💡 Bonus: DM me for an exclusive 𝐝𝐢𝐬𝐜𝐨𝐮𝐧𝐭 on the seminar!
I couldn’t resist bringing this question into my first seminar on the instats platform, where I introduced key bioinformatics methods for analyzing sequencing and genomics data, celebrating 25 years since the first publication of the human genome sequence.
instats is a mission-driven organization devoted to improving multidisciplinary research practices globally and I’m proud to be part of their community.
For those who missed it, the seminar is free and available online
And as always say: the more you share what you know, the more you realize how much more there is to learn.