My inbox suggests that AI is seducing lots of young and mentally fragile academics-to-be into flights of fancy that lose all contact with reality.
Erik van Nimwegen
@erikvannimwegen.bsky.social
Gene regulatory networks and genome evolution. How do single cells make up their minds? @NimwegenLab@mstdn.science @NimwegenLab on twitter. Sorry X.
Quantum mechanics allows consciousness to persist after death. With experimental evidence!
Congratulations to Elsevier on this insanity my colleague found. Is anything in this clinical trial from Spain and UK real? www.cell.com/the-innovati...
Two announcements regarding AccuSNV, which calls high precision SNVs across microbial genomes: Version 1.1 is now incredibly easy to install, run, and perform downstream analyses with (see image of typical output!). The manuscript was also published this summer in Genome Research! Links next...
Very interesting indeed, and so many questions to follow up on. As the relative abundances of RNA species don't seem to change, do overall protein concentrations decrease? Rates of cellular processes? Is the number game why expression variability of individual genes seems to increase with age?
Very interesting. Unless I’m missing something, this also seems to imply protein production is mRNA limited.
Very interesting. Unless I’m missing something, this also seems to imply protein production is mRNA limited.
Did you know that the cells of old animals contain much less mRNA than the cells of young ones? Let me share with you some results from an ongoing project in the lab, where we are finding that a progressive depletion of total mRNA abundance is a crucial part of aging 1/22
Just preprinted my work on rapid evolution in fluctuating environments! When many linked mutations with different environmental tradeoffs compete, I found that mutations with stronger tradeoffs systematically outcompete beneficial “generalist” mutations. Read more here: doi.org/10.64898/202...
doi.org
1/ out in @science.org! We found a new asymmetry in large-scale chromosome structure: sister chromatids are shifted by hundreds of kb in the 5′→3′ direction of their inherited strands! A close collaboration w/ @gerlichlab.bsky.social , led by @flaviacorsi.bsky.social www.science.org/doi/10.1126/...
Want to explore and understand the structure of your single-cell omics or other high-dimensional data? Try Bonsai! www.nature.com/articles/s41... Check out our tutorial videos with 1. Highlights of the Bonsai-scout exploratory analysis tool: www.youtube.com/watch?v=TE7T...
Bonsai-scout: Highlights
YouTube video by ISMARA: inferring gene regulatory interactions
youtube.com
I've tried Bonsai in various datasets through the web server. It has always added some insights to my understanding of the data. Totally recommended, especially seeing the new additions 🤩
Remember this? bsky.app/profile/did:... Rigorous visualization of the structure in your high-dimensional data. Fantastic work by @dhdegroot.bsky.social With help of the reviewers of Nat Biotech it is now updated, extended an officially published here: www.nature.com/articles/s41... 1/n
Seeing the unseen: A new tool for exploring complex biological data #NBTintheNews via @biozentrum.unibas.ch www.biozentrum.unibas.ch/news/detail/...
Seeing the Unseen: A new tool for exploring complex biological data
Modern biology research can now generate valuable data on an unprecedented scale. But there is one major obstacle: making sense of these complex high-dimensional datasets. Prof. Erik van Nimwegen’s te...
biozentrum.unibas.ch
trees >> umaps
Remember this? bsky.app/profile/did:... Rigorous visualization of the structure in your high-dimensional data. Fantastic work by @dhdegroot.bsky.social With help of the reviewers of Nat Biotech it is now updated, extended an officially published here: www.nature.com/articles/s41... 1/n
TIL about Bonsai plots, a very cool replacement for UMAPs ⬇️
Remember this? bsky.app/profile/did:... Rigorous visualization of the structure in your high-dimensional data. Fantastic work by @dhdegroot.bsky.social With help of the reviewers of Nat Biotech it is now updated, extended an officially published here: www.nature.com/articles/s41... 1/n
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data - @erikvannimwegen.bsky.social @dhdegroot.bsky.social www.nature.com/articles/s41...
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data - Nature Biotechnology
High-dimensional data are visualized through representation on tree structures.
nature.com
Check out the wonderful Bonsai method by @erikvannimwegen.bsky.social and @dhdegroot.bsky.social now published in Nat Biotech! Congrats to all authors!
Remember this? bsky.app/profile/did:... Rigorous visualization of the structure in your high-dimensional data. Fantastic work by @dhdegroot.bsky.social With help of the reviewers of Nat Biotech it is now updated, extended an officially published here: www.nature.com/articles/s41... 1/n
Remember this? bsky.app/profile/did:... Rigorous visualization of the structure in your high-dimensional data. Fantastic work by @dhdegroot.bsky.social With help of the reviewers of Nat Biotech it is now updated, extended an officially published here: www.nature.com/articles/s41... 1/n
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data - Nature Biotechnology
High-dimensional data are visualized through representation on tree structures.
nature.com
Here it is! Bonsai. Now there is really no more excuse for using t-SNE/UMAP. Bonsai not only makes cool pictures of your data. It actually rigorously preserves its structure. No tunable parameters. Incredible work by @dhdegroot.bsky.social. I'm so excited about this! www.biorxiv.org/content/10.1...
How do you visualize highly complex data without losing important information? Prof. Erik van Nimwegen’s team developed a new tool, Bonsai, that provides a faithful picture of the structure in the data. @erikvannimwegen.bsky.social @unibas.ch @dhdegroot.bsky.social @imbavienna.bsky.social
Seeing the Unseen: A new tool for exploring complex biological data
Modern biology research can now generate valuable data on an unprecedented scale. But there is one major obstacle: making sense of these complex high-dimensional datasets. Prof. Erik van Nimwegen’s te...
biozentrum.unibas.ch
You know what? I f*ing hate this piece. No, not everything is fraud all the way down. Speak for yourself, you cynical pompous prick. Some of us are self-critical and work our asses off trying to do meaningful work that furthers our understanding of the world. samkriss.substack.com/p/the-carrio...
The carrion-eaters
What we did to Jason Arday
samkriss.substack.com
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🚀 New preprint 🥳 Fantastic work by our recent PhD graduate Daan ! How are mRNPs remodeled as they exit the nucleus? We identify PAIP1 as a factor that promotes exchange of the nuclear poly(A)-binding protein PABPN1 for cytoplasmic PABPC1, coupling mRNA export to cytoplasmic mRNP maturation.
PAIP1 couples mRNA export to cytoplasmic mRNP remodeling and poly(A) homeostasis https://www.biorxiv.org/content/10.64898/2026.07.31.742013v1
So what if your science uncovers facts that clash with your political preferences? Mother nature doesn't bend to politics. You can pick the questions you study and how, but you don't get to pick reality. And honestly reporting findings, even if you don't like them, that's also being a scientist.
What do single bacterial cells do when they run out of carbon source? If you missed the preprint, check out the official publication: doi.org/10.1038/s443... If the total bacterial population on earth stays roughly constant, then there must on average be as much death as replication. 1/n
E. coli prepares for starvation by dramatically remodeling its proteome in the first hours after loss of nutrients - Molecular Systems Biology
Although in the wild bacteria likely spend most of their time deprived of nutrients and slowly starving to death, very little is known about how bacteria adapt their phenotype to starvation. Here we combine microfluidics with quantitative fluorescence microscopy of transcriptional reporters to comprehensively quantify growth and gene expression at the single-cell level in E. coli during carbon starvation. We find that all cells immediately stop growing upon loss of carbon source and that almost all remain alive for over 30 hours. Furthermore, entry into starvation triggers a dynamic expression program that is remarkably homogeneous across single cells, but highly variable across genes, causing dramatic remodeling of the proteome early in starvation. We further show that, as protein production and the rate of protein degradation both decay approximately exponentially, protein concentrations become essentially ‘frozen’ after the first 5 to 10 hours, setting phenotypes for several days of starvation. Finally, using experiments in which gene expression is inhibited for different periods, we show that protein production in the first 5 hours is crucial for protecting cells from stresses late in starvation.
doi.org
20 to 35 minutes. Holy fuck. And here we are thinking WW1 was insane.
The average life expectancy of a new Russian recruit—from arrival at a training ground to death in a combat zone—lies somewhere between 10 days and three weeks. Once sent onto the battlefield, they survive an average of 20 to 35 minutes. @peterfrankopan.bsky.social foreignpolicy.com/2026/06/25/r...
Gloves are off. Seriously? Pretty much tells you everything you need to know, doesn't it? This is not about providing useful information to the scientific community. It is an act offert act of aggression aimed at establishing power and control. I think this is actually a watershed moment. 1/n
Gloves are off! TODAY WE RELEASE THE 1% A list of the year’s very best papers 👇 (see thread)
I think this says: our lawyers say we have nothing to worry about. We can legally do anything we please with these images.
Thermo Fisher has now made public the company line, which is ?!??!?!??!?!?! you really gotta read it. cen.acs.org/research-int...
Cool. In random data, it claims to see a signal for what is in fact merely its prior. Just like humans do all the time. Is it perhaps that all it does is regurgitate human behavior from its training data?
I assigned random gender/ethnicity labels to scientific abstracts from the literature and then asked Claude to do a thematic analysis. Claude identified a clinical versus computational split for female/male authors and a DEI focus for Black/URM authors. All in completely random data.
I was planning to write a similar thread. I fear these tools are going to be used mainly for effectively hiding weaknesses in proposals. And reviewers will be using the SAME tools for their review. The endgame of this is that it will become close to impossible to assess the merits of a grant prop. /
If this is true (I doubt, but possible) it is a catastrophe for science funding process. Last nail in the coffin level. Why? Because funding will remain at 10%. Nobody's going to pull a load of new cash out of the hat. So. At first - grants that use an online tool will have an advantage over ../
We're also doing this now? What's next? Don LaFontaine voice overs?
Big paper coming out soon. Using AI, we mapped embryos of mice, alligators, turtles, rhesus macaques, and chickens in 3D and single-cell resolution. We discovered something truly remarkable...stay tuned!
Interested in a *staff computational scientist* position? We are looking for an experienced computational biologist (ideally with microbiology experience) to support published packages while also driving new research. Pay range $73k-$111k w excellent benefits. careers.peopleclick.com/careerscp/cl...
Computational Biology Program Scientist
MIT - Computational Biology Program Scientist - Cambridge MA 02139
careers.peopleclick.com