
Computational biology @UCPH_Research/@IRBBarcelona: genetics & evolution of tumors & human populations. #ERC, #HorizonEU, #NNF, #DCS, #DFF funded. PI @FranSupek
Copenhagen & Barcelona
Joined June 2017
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Genome Data Science lab retweeted
Hot off the press – new study from the group:
🧬🤖 A DNA language model for predicting mutation risk trained on massive genomic data sets
A mutation seen again and again across cancer genomes looks like a causal change. But sometimes the DNA site is simply very easy to mutate and so generates a hotspot 🔥.
We built MutFormer AI model to separate these two possibilities: operating at single-nucleotide resolution, it separates “driver” from “passenger” hotspots.
(awesome work by Ivan Galvan 🔝, Marcell Veiner @MarcellVeiner et al. 👏)
🤖 Made with AI
Genome Data Science lab retweeted
My group is looking to recruit 2 postdocs👩💻👨🏫 on the "A-SOuRCCE" project:
1⃣ AI for Knowledge Graphs in Regulatory Genomics
2⃣ Agentic AI for Scientific Discovery in Genomics
Ideal positions for recent bioinformatics/genomics/compbiol PhDs looking to pivot towards AI 🖥️🧠 & to do impactful science. Also great for computer science people looking to get into genomics.
Apply via links below! 👇 Deadline in ~2 weeks (10.2.)
Delighted to share that our project on agentic AI for genomic science has been funded!🌟 We secured 1.7M € from @novonordiskfond in “Data Science Investigator: Distinguished”🙏
A-SOuRCCE stands for "AI for Single-cell Omics and Reproducible Cardiometabolic & Cancer Exploration"
Genome Data Science lab retweeted
Our new preprint! Inhibiting nonsense-mediated mRNA decay makes tumors more visible to the immune system. In a 🐭 tumours blocking NMD reduced tumor burden, and NMDi + anti–PD-1 worked even better.
A great team effort @FranSupek and @TheAnaJanic labs 👇🔗biorxiv.org/content/10.64898…
Genome Data Science lab retweeted
🚨 My PhD paper is officially published in @GenomeBiology! 📜🚀
We quantified the efficiency of a key cellular mRNA QC pathway (NMD) 🧬across thousands of human tumors & healthy tissues, revealing its activity is highly variable!
🧵1/8 👇
🔗genomebiology.biomedcentral.…
Genome Data Science lab retweeted
Fantastic to be in such great company!🤩
👏Congrats to 19 colleagues from my institutions (🇩🇰BRIC @UCPH_health and 🇪🇸@IRBBarcelona) in this year's Elsevier/Stanford top 2% most cited researchers list
Genome Data Science lab retweeted
🧵Ahmed’s @GenomeDataLab paper on evolution of chemotherapy resistance is out in @NatureComms!
We developed DiffInvex - a method tracking how #cancer driver genes change under therapy, applied to ~10k genomes. Key insight: resistance often emerges through existing pathways. 1/5
Genome Data Science lab retweeted
🚨 Big news!
I'm thrilled to share that our latest research has just been published in Nature Communications 🎉
🔍 Title: DiffInvex identifies evolutionary shifts in driver gene repertoires during tumorigenesis and chemotherapy
📎 doi.org/10.1038/s41467-025-5…
(1/4) ⬇️
Genome Data Science lab retweeted
Genome Data Science lab retweeted
Postdoc and PhD position in AI for cancer genomics at BRIC/UCPH. Only 5 days left to apply!
Replying to @FranSupek
➡️Postdoc in AI for Cancer Genomics at the Supek Group, BRIC
candidate.hr-manager.net/App…
➡️PhD fellowship in AI for Cancer Genomics at the Supek Group, BRIC
candidate.hr-manager.net/App…
Deadline 14/11.
For informal inquiries, drop me an email.
Genome Data Science lab retweeted
🔥PhD student & postdoc opportunity @GenomeDataLab!
Are you keen on:
- driving cutting-edge science @ interface of #AI and cancer #genomics?
- working in a dynamic & supportive environment of @UCPH_BRIC?
- joining the U of Copenhagen, top-3 ranked uni in EU?
Apply below👇
Genome Data Science lab retweeted
No less than 6⃣6⃣ PhD fellowships will be available to assorted groups at 🌆U of Copenhagen & to 🇩🇰DTU via the "INTERACT" call
🎓Applications open 20/12. Spread the word!
Apply + join us👇 Maybe there is a Nobel prize in physics awaiting you as well 😁
linkedin.com/posts/biotech-r…
Genome Data Science lab retweeted
New pre-print out! 👨🔬
🔗biorxiv.org/content/10.1101/…
Here, we studied the incidence and impact of allele-specific expression (ASE; imbalance between two alleles in mRNA levels ⚖️) in tumorigenesis.
1/6
Genome Data Science lab retweeted
🤖The @GenomeDataLab develops #ArtificialIntelligence (#AI) models to predict epigenetic disturbances that result from inherited mutations.
Their aim is to better predict how heritable and epigenetic changes jointly shape the risk of developing #LungCancer in every individual.
Genome Data Science lab retweeted

IRB Barcelona@IRBBarcelona4 Sep 2024
🇪🇸
SpainConnected via Spain Android AppAccount-level information, not a live location or per-post device.
🔢💊Un algoritmo desarrollado por expertos del #IRBBarcelona y del @CRGenomica puede predecir qué fármacos serán más efectivos para el tratamiento de enfermedades genéticas y del #cáncer.
📰@agenciaefe
➡️shorturl.at/7nmVO
@GenomeDataLab @BenLehner @IgnasiToledano
Genome Data Science lab retweeted
2. Early stop codons cause ~10–20% of genetic conditions
A promising approach is to force the ribosome to ignore the stop codon, using a drug, to produce full-length proteins
How effective this is depends on the drug, the gene, and the stop codon
nature.com/articles/s41588-0…
Genome Data Science lab retweeted
Very excited to have my first preprint published! 🥳
Thanks to @FranSupek and our lab @GenomeDataLab 🧬
❓Want to learn an easy trick to improve your mutational signatures?
‼️Extract them from SNV and indel mutations jointly!
A study by our Patricia F. @pferrert now online, focusing on HR deficiency signature SBS3🧬
Here is a TL;DR for you 👇 (1/3)
Genome Data Science lab retweeted
A much improved version of this, today out in @NatureGenet ! with @BenLehner and @FranSupek nature.com/articles/s41588-0…
Time to share my PhD work where we quantified the translational readthrough of thousands of pathogenic stop codons and trained predictive models to predict drug-induced readthrough of any stop codon. With the priceless guidance from @FranSupek +@BenLehner! biorxiv.org/content/10.1101/…
Genome Data Science lab retweeted
🚀 Just published on bioRxiv!
🔍DiffInvex evolutionary model for conditional somatic selection✅
🧬A genomic study of 10,000 cancer whole genomes identifying chemoresistant genes (putative therapeutic targets)✅
👨💻DiffInvex soon on GitHub⌛️
📄: biorxiv.org/content/10.1101/…
(1/7) ⬇️
Genome Data Science lab retweeted
Sequencing of human kidney cancers worldwide has revealed associations between geographical locations and specific mutation patterns, indicating exposure to known and unknown mutagens as Irene Franco & @FranSupek @GenomeDataLab discuss. go.nature.com/4bkuKDS






















