#genomics

These are public posts tagged with #genomics. You can interact with them if you have an account anywhere in the fediverse.

flypapers

📰 "Higher resolution pooled genome-wide CRISPR knockout screening in Drosophila cells using integration and anti-CRISPR (IntAC)"
doi.org/doi:10.1038/s41467-025
pubmed.ncbi.nlm.nih.gov/406596
#DrosophilaMelanogaster
#Drosophila #Genomics

Jul 17, 2025, 15:57 · · 0 · 0
flypapers

📰 "CrebA regulation of secretory capacity: Genome-wide transcription profiling coupled with in vivo DNA binding studies"
doi.org/doi:10.1101/2025.06.12
pubmed.ncbi.nlm.nih.gov/406673
#Drosophila #Genomics #Embryo

Jul 17, 2025, 15:50 · · 0 · 0
Eli Roberson (he/him)

#Genomics
#Genetics
#Academia

Huh. #Ensembl is acting really weird.

I go to Biomart. I choose Mouse for current build. I enter a list of a few (4? 5?) genes to limit the list to. I go to results to see four defaults (gene ids and transcript ids I think).

Instead of results, the next only contains the URL of the requested pasted as text into the body of the page. Odd.

Edit: Ah something about the page rendering made the Results button temporarily disappear. All fine now.

Jul 15, 2025, 19:04 · · · 2 · 0
PuckerLab

Interested in learning about plant genomics? We're offering an opportunity for a few students to join our genomics team and gain hands-on experience in DNA extraction, ONT sequencing, and data analysis. Reach out if you're interested: pbb.uni-bonn.de
#Genomics #Bioinformatics #PlantScience #OpenScience
@boas_pucker

Loading a MinION. Details: https://www.pbb.uni-bonn.de
Jul 13, 2025, 07:11 · · 10 · 0
Dave Lunt

Whenever I see a DNA logo from a lab, bioinformatics/genomics centre, hackathon, or training course and it’s backwards I sigh a little. I don’t point them out anymore as I usually just receive passive aggression, but what does it say about you that you don’t care? Several big ones in my stream today. If an entomology training centre had a logo with an 8-legged fly it’d be weird right? #bioinformatics #genomics #DNA

Jul 12, 2025, 16:01 · · 5 · 0
Futurist Jim Carroll

**Megatrend #12** - Personalized, Precision Medicine: "Tomorrow's cure lies not in a universal pill, but within our own genetic code." - Futurist Jim Carroll

---

(Futurist Jim Carroll is writing a series on 30 Megatrends, which he first outlined in his book Dancing in the Rain: How Bold Leaders Grow Stronger in Stormy Times. The trends were shared in the book as a way of demonstrating that, despite any period of economic volatility, there is always long-term opportunity to be found. The book is now in print - learn more at dancing.jimcarroll.com)

---

The one-size-fits-all era in medicine is ending. Treatments, nutrition, and wellness approaches tailored to individual genetic profiles are becoming the standard, not the exception. As with every post in this series, there's a PDF here that goes into more depth on this trend.

There's a little bit of duplication with some of the material covered in previous megatrends with this one, but it's important ot note that this trend is powerful enough on its own to deserve its own post.

What's it all about? We are combining what we might call 'next-generation genomic sequencing', AI, and CRISPR gene editing, to come up with a new health paradigm that involves 'fixing people before they are sick rather than after.' Why these 3 trends? The cost for genomic sequencing is collapsing, AI is accelerating the ability to do so, and gene editing allows us to correct the genetic causes of disease at the source.

Before going further, it's important to define the revolution by understanding two key terms.

The first is Personalized Medicine, which uses an individual's unique genomic, environmental, and lifestyle information to guide decisions for prevention, diagnosis, and treatment of disease. It's based on the idea that because no two individuals are the same, they should not receive the same healthcare.

The second term is Precision Medicine. While often used interchangeably, it more accurately describes the strategy of stratifying individuals into small populations based on shared characteristics. It focuses on identifying which healthcare and pharmaceutical approaches will be most effective for those small, specific groups of people, rather than creating unique treatments for each individual.

While its potential is immense, the transition to personalized medicine is not merely a technological upgrade but a disruptive force that challenges the foundational structures of healthcare delivery, research, and regulation.

Even so, over the long term, it's one of the biggest megatrend opportunities of our time.

**#Personalized** **#Medicine** **#Genomics** **#CRISPR** **#AI** **#Precision** **#Healthcare** **#Genetics** **#Innovation** **#Future**

Original post: jimcarroll.com/2025/07/decodin

Jul 11, 2025, 10:04 · · 0 · 0

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