- by /u/Holodoxasubmitted by /u/Holodoxa [link] [comments]
- by /u/EchoOfOppenheimerA new report in Nature explores the rapidly approaching reality of AI creating completely synthetic life. Driven by advanced genomic language models like Evo2, scientists are now generating short genome sequences that have never existed in nature. submitted by /u/EchoOfOppenheimer [link] [comments]
- by /u/YeonnLennonFirst of all, not all mitochondria DNA mutations leads to increase in ROS production. Only some does. ROS production is caused by electrons reacting with oxygen when it should he reducing it to water. Mitochondria has around 93% coding DNA regions and 68% codes for proteins in the ETC. A mutation in one of these genes will impaired ETC, which cause electron leakage and then ROS production. But even though there is 68% ETC protein coding regions, it only represents 13genes out of the 37total genes in the mitochondria. And it represents around 35% total coding genes. Further more, not […]
- by /u/Round-Web5659submitted by /u/Round-Web5659 [link] [comments]
- by /u/PKT341We are thrilled to share our preprint on PantheonOS, the first evolvable, privacy-preserving multi-agent operating system for automatic genomics discovery. Preprint: www.biorxiv.org/content/10.6… Website(online platform free to everyone): pantheonos.stanford.edu https://preview.redd.it/d23on67girmg1.png?width=1080&format=png&auto=webp&s=54c9ac0e64c34aaa817ae0e1960314919e275323 PantheonOS unites LLM-powered agents, reinforcement learning, and agentic code evolution to push beyond routine analysis — evolving state-of-the-art algorithms to super-human performance. 🧬 Evolved batch correction (Harmony, Scanorama, BBKNN) and Reinforcement learning or RL agumented algorithms 🧠RL–augmented gene panel design 🧠Intelligent routing across 22+ virtual cell foundation models 🧫 Autonomous discovery from newly generated 3D early mouse embryo data ❤️ Integrated human fetal heart multi-omics with 3D whole-heart spatial […]
- by /u/YeonnLennonOrthologous genes are defined as species that share the same gene as their common ancestors. And it's identified by comparing if a gene from one species best match the other species' gene(comparison tools like blast, although there are more robust approach like phylogenetic tree reconstruction). I would say that there are actually more genes that are orthologous from different species, over millions of years, the same gene can change a lot, from indels, random mutations from radiation. And once differences is large enough, it is extremely difficult to trace back and claim it as "orthologous". submitted by /u/YeonnLennon [link] [comments]
- by /u/omprakash25dsubmitted by /u/omprakash25d [link] [comments]
- by /u/jjaechangIf you've tried using Claude Code for bioinformatics pipelines, you've probably noticed it's unreliable on anything beyond the most popular packages. The Problem: A Blind Test I ran a blind test to quantify this, asking Claude about each tool's API without providing documentation (scored 0–5). For genomics tools specifically: Tools: Scanpy, bcftools, pysam, deepTools, HOMER, gseapy Result: Claude scored 0/5 on most of them. Issues: It consistently generated wrong argument names or non-existent methods. The Solution: SciCraft To fix this, I built SciCraft—a Claude Code plugin covering 59 genomics and bioinformatics tools with validated, structured skill files. Genomics Coverage Includes: […]
- by /u/tech_1729Isomorphic Labs just released the technical report for IsoDDE (Drug Design Engine), and the performance gains over previous benchmarks are massive. 2x+ Accuracy: Doubled AlphaFold 3’s performance on protein-ligand benchmarks for novel targets. 2.3x Improvement: A massive leap in high-fidelity accuracy for antibody-antigen interface prediction. Physics-Level Precision: Binding affinity predictions now surpass gold-standard simulations (FEP+) without the massive compute overhead. 1.5x Pocket Detection: Finds "cryptic" binding sites invisible in unbound proteins significantly better than current top tools. Report: https://storage.googleapis.com/isomorphiclabs-website-public-artifacts/isodde_technical_report.pdf submitted by /u/tech_1729 [link] [comments]
- by /u/susannarayGenomeweb story: https://www.genomeweb.com/sequencing/complete-genomics-shed-chinese-ownership-through-acquisition-swiss-rockets Complete Genomics press release: https://www.completegenomics.com/complete-genomics-enters-definitive-agreement-to-be-acquired-by-swiss-rockets-ag/ Swiss Rockets post: https://swissrockets.com/news/a-defining-milestone-for-swiss-rockets-and-complete-genomics submitted by /u/susannaray [link] [comments]
- by /u/Farha_zein77I’m a cancer bioinformatics researcher working with RNA-seq and single-cell data. I want to integrate AI tools into my workflow to accelerate learning and hypothesis generation without becoming dependent on them. For those working at the intersection of ML and cancer genomics, what specific tools, workflows, or habits have helped you grow technically rather than outsource your thinking? I’m especially interested in how you use LLMs or ML frameworks responsibly in research submitted by /u/Farha_zein77 [link] [comments]
- by /u/TheSaaSJEDIHi everyone, I’m doing some market research into how Life Sciences and Biotech teams (specifically in the UK/EU) are managing their workflows. I see monday.com being used more and more in our industry, but I have a suspicion it’s mostly being used for high-level "marketing style" project management rather than the gritty, technical reality of a lab or a clinical trial. I’m trying to find out where the platform actually hits a wall for you. Where does it fail? If you use it, what is the one thing you still have to jump out of monday and into Excel or […]
Mass spectrometry websites, social media, journal feeds, and other links and items of interest to the mass spectrometry community.
