Estepi

Etiqueta: teaching

  • Artificial Intelligence Is Not Artificial Wisdom

    Artificial Intelligence Is Not Artificial Wisdom

    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 “๐ซ๐ž๐ญ๐ก๐ข๐ง๐ค๐ข๐ง๐  ๐›๐ข๐จ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐œ๐ฌ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ญ๐ข๐ฌ๐ž ๐ข๐ง ๐ญ๐ก๐ž ๐ž๐ซ๐š ๐จ๐Ÿ ๐š๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐ข๐š๐ฅ ๐ข๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž” (inspired by a hugely popular article published this year)

    Thanks Genyxlcc for this gift

    There couldn’t have been a better way to come back from a tiny summer break โ˜€๏ธ

  • RNA-Seq: From FASTQ to Counts

    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 Iโ€™ve started on this path.

    Whether you’re working with private or public data, here’s the workflow I always recommend:

    โœ… Set up a clean project folder from day one

    โœ… Estimate your file sizes and check storage & compute capacity

    โœ… Retrieve your raw data (private or public sources)

    โœ… Run QC โ€” non-negotiable

    โœ… Launch your NGS pipeline of choice

    ๐Ÿ’ก 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.

    ๐Ÿ”— https://instats.org/seminar/rna-seq-from-fastq-to-counts-1

    ๐Ÿ“ฉ DM me for a personal discount on the seminar

    contact@estepi.com

  • ย ๐…๐€๐ˆ๐‘ ๐๐š๐ญ๐š ๐ฆ๐š๐ง๐š๐ ๐ž๐ฆ๐ž๐ง๐ญ ๐š๐ง๐ ๐€๐ ๐ข๐ฅ๐ž ๐ฉ๐ซ๐š๐œ๐ญ๐ข๐œ๐ž๐ฌ

    ย ๐…๐€๐ˆ๐‘ ๐๐š๐ญ๐š ๐ฆ๐š๐ง๐š๐ ๐ž๐ฆ๐ž๐ง๐ญ ๐š๐ง๐ ๐€๐ ๐ข๐ฅ๐ž ๐ฉ๐ซ๐š๐œ๐ญ๐ข๐œ๐ž๐ฌ

    As a bioinformatician, Iโ€™ve seen firsthand how integrating Open Science principles ๐’†๐’”๐’‘๐’†๐’„๐’Š๐’‚๐’๐’๐’š ๐‘ญ๐‘จ๐‘ฐ๐‘น ๐’…๐’‚๐’•๐’‚ ๐’‘๐’“๐’‚๐’„๐’•๐’Š๐’„๐’†๐’” can significantly boost quality and productivity in research projects.

    Itโ€™s true that at the beginning there is a significant initial investment of time and effort. But when you reach ๐ฉ๐ฎ๐›๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐ญ๐ข๐ฆ๐ž and resources, energy, and budget become limitedโ€”that early investment pays offโ€ฆ 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, Iโ€™d be happy to help. Letโ€™s schedule a free 30-minute call to design a clear plan and innovate together.

    ๐Ÿ’ก Bonus: DM me for an exclusive ๐๐ข๐ฌ๐œ๐จ๐ฎ๐ง๐ญ on the seminar!

    โœ‰๏ธ ๐œ๐จ๐ง๐ญ๐š๐œ๐ญ@๐ž๐ฌ๐ญ๐ž๐ฉ๐ข.๐œ๐จ๐ฆ

    ๐Ÿ”— https://instats.org/seminar/fair-data-practices-with-r-git-and-agile-1

  • Introduction to Bioinformatics for Genomics

    Introduction to Bioinformatics for Genomics

    ๐€๐ซ๐ž ๐ฐ๐ž ๐Ÿ๐š๐œ๐ข๐ง๐  ๐š 5๐ญ๐ก ๐ง๐š๐ซ๐œ๐ข๐ฌ๐ฌ๐ข๐ฌ๐ญ๐ข๐œ ๐ฐ๐จ๐ฎ๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐ญ๐ก๐ž ๐ซ๐ข๐ฌ๐ž ๐จ๐Ÿ ๐ ๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ?

    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.ย 

    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.