Categoría: FAIR

  • RNA-Seq: From FASTQ to Counts

    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.

    🔗 https://instats.org/seminar/rna-seq-from-fastq-to-counts-1

    📩 DM me for a personal discount on the seminar

    contact@estepi.com

  •  𝐅𝐀𝐈𝐑 𝐝𝐚𝐭𝐚 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐀𝐠𝐢𝐥𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬

    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!

    ✉️ 𝐜𝐨𝐧𝐭𝐚𝐜𝐭@𝐞𝐬𝐭𝐞𝐩𝐢.𝐜𝐨𝐦

    🔗 https://instats.org/seminar/fair-data-practices-with-r-git-and-agile-1