The further a scientist moves away from the topic of their previous work, the fewer citations their new work will receive, according to an analysis of millions of scientific papers and patents published in nature. go.nature.com/3HdyflX

📢 Introducing Biomni - the first general-purpose biomedical AI agent. Biomni is built on the first unified environment for biomedical agent with 150 tools, 59 databases, and 106 software packages and a generalist agent design with retrieval, planning, and code as action. This

Slides from my talk (with Kamil Jaron) on an history of k-mers in bioinformatics: rayan.chikhi.name/pdf/2025-kmers…

As a genomics person, I couldn't think of a better place in Asia to work than the Genome Institute of Singapore. We are recruiting for RNA, AI and Precision health. If interested Principal Investigator, GIS job with Agency for Science, Technology and Research (A*STAR) | 673811

1/4 Hash functions in genomic sequence analysis (tinyurl.com/4kk9ccmt) : a new survey written together with Mingfu Shao, Ke Chen, Xiang Li, and Qian Shi. Before submitting it, we are posting it online to get feedback from the community.

We observed that tRNA genes mutate like no tomorrow 👇

Preprint on "Improving spliced alignment by modeling splice sites with deep learning". It describes minisplice for modeling splice signals. Minimap2 and miniprot now optionally use the predicted scores to improve spliced alignment. arxiv.org/abs/2506.12986

🧵1/n Estimating mutation rates using k-mers is fast—but what happens when repeats dominate the genome? In a new preprint, Haonan Wu, Antonio Blanca, and myself propose a *repeat-aware* estimator that's accurate even in centromeres.

GW: ultra-fast chromosome-scale visualization of genomics data. #GenomeVisualization #Bioinformatics #Genomics Nature Methods nature.com/articles/s4159…

🎉Calling All Scientists, Clinicians and Innovators! 🎉 Join us as we celebrate 25 years of genomic excellence at the #GIS25: Genome Innovation & Precision Medicine Conference, happening 11–12 September 2025 at Matrix Auditorium, Biopolis, Singapore! 🔬 Dive into the future of

I am happy to introduce Campolina, a deep neural framework that replaces traditional algorithmic approaches for nanopore signal segmentation and improves segmentation quality for real-time analysis. Preprint and details in the thread👇 K. Friganovic, Bryan Hooi, Mile Sikic 1/7

Happy to present the first complete genome of an Indian individual biorxiv.org/content/10.110…. Joint effort by A*STAR Genome Institute of Singapore (A*STAR GIS) ,FER, and partners, with support from the Singapore NPM programme! Joint effort with JJ Liu Lab! Prasadms and Josipa Lipovac as co-first authors.

Are you worried about your DNA revealing too much about you? The The Washington Post says you should be very worried. I have a different take: stevensalzberg.substack.com/p/i-know-genom…

Singapore RNA Seminar Series🧬 Join us at our next seminar by Dr. Kate Chiappinelli, Associate Professor of Microbiology, Immunology, & Tropical Medicine, The George Washington University on 19 Aug 2025, 9:00AM (SGT, GMT+8). Host: Associate Professor Polly Chen, NUS Link:

Uh oh: deep learning models in genomics lose badly to very simple linear models. Could they have been over-hyped? (new paper by Simon Anders Constantin Ahlmann-Eltze (@const-ae.bsky.social) and Wolfgang Huber) nature.com/articles/s4159…

I have successfully defended my PhD thesis! Huge thanks to my supervisors Mile Sikic and Xavier Bresson . (It actually happened several weeks ago, but I took some time off after the defence and was avoiding social media - highly recommended!)

We often talk about pangenome reference but what does "reference" mean? If it means the whole graph, what is a variant? My collaborators Pouria and Luke give a clean answer: the reference is a spanning tree including GRCh38 and variants are leftover edges. See preprint for more.

🚀 AI + Genomics in Singapore! The AI Visiting Professorship at GIS invites world-class AI researchers (academia/industry, outside SG) to spend 20% of their time on AI–genomics projects. 💰 Up to 4M SGD (~3.1M USD) over 3 yrs. 📩 DM me if interested! #AI #Genomics #Research

We were able to reproduce the strong findings of the HRM paper on ARC-AGI-1. Further, we ran a series of ablation experiments to get to the bottom of what's behind it. Key findings: 1. The HRM model architecture itself (the centerpiece of the paper) is not an important factor.