🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Please RT to help reach a diverse audience. Assistant Professor position UC Berkeley in metabolic biology (broadly defined). Looking for excellence in research AND diversity, equity, and inclusion efforts. Please apply and come join us! aprecruit.berkeley.edu/JPF02659

#Chemistry #NobelPrizeLaureate Emmanuelle Charpentier: “The fact that two women won this Prize will hopefully show to young girls & young female scientists...that nothing is impossible”. 😊 The full video of yesterday's press conference: youtu.be/zZG8PhmLadk Max Planck Society

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The glitter analogy remains relevant

Nilabh Shastri was an incredible mentor and teacher. I will never forget his invaluable advice, patience, and enthusiasm for teaching.

This is incredible, I actually learned something: nytimes.com/interactive/20…

On May 20, Alyssa Morrow shows us how to build RNA-Seq data apps in Python with Dash, IGV.js (IGV Team), and Pileup.js (B. Arman Aksoy) for use cases such as #COVID19 vaccine development🧬 Webinar 📺 go.plotly.com/bioinformatics Blog 📝 plotlygraphs.medium.com/dash-apps-that… #Bioinformatics #Genomics

Excited to share a more formal look at our work on scvi-tools, in which we describe an overview of the codebase and new features. We hope scvi-tools will set a community standard for the deployment of probabilistic models in single-cell omics biorxiv.org/content/10.110…

Epitome learns from multiple reference cell types simultaneously to predict epigenetic events such as transcription factor binding sites and histone modifications. Just add chromatin accessibility!

Less is more when using chromatin accessibility to predict epigenetic events in new cellular contexts. Pleased to share our new publication describing Epitome doi.org/10.1093/nar/gk…

Excited to share our recent work at Ginkgo Bioworks . TLDR: high quality mRNA stability data -> performant ML models -> design 3’UTRs that increase stability -> in vivo validated ML 3’UTRs beat benchmark. biorxiv.org/content/10.110…

Newly up, we have a blog post summarizing our 3' UTR design publication: ginkgobioworks.com/2024/11/04/eng…. And..... one of our models from the paper is now available at models.ginkgobioworks.ai!! Check it out and let us know if you have feedback.

Thanks Jake Wintermute 🧬/acc for this short video on our recent mRNA stability work youtu.be/S9F6zCrYdGU

At #NeurIPS2024? Stop by my poster today in the AI for Drug Discovery workshop to talk about AI drive mRNA design! #AIDD

Super excited about our new models and pipelines for antibody and promoter design. Try them out! (documentation here lnkd.in/dwRbx8Hv) Promoter-0: hubs.la/Q030bfgW0 Antibody diffusion: hubs.la/Q030bt3r0

Need more data? Releasing the GDPx2 Functional Genomics Dataset from Ginkgo Bioworks. DRUG-seq for 4 cell lines that underwent 15 different treatments. Get it here: ginkgo.bio/resources/blog…

Nice paper generating a large dataset of cell type specific UTRs: A generative framework for enhanced cell-type specificity in rationally designed mRNAs biorxiv.org/content/10.110…

Inspiring stories of the impact of gene therapy in patient's lives at The State of Cell and Gene Therapy 2025 genengnews.com/multimedia/the… via Genetic Engineering & Biotechnology News. A great motivator of what we are working towards.

Ginkgo's discrete diffusion model for designing full-length mRNA sequences. mDD-0 jointly learns from the coding sequence and the 3' and 5' UTRs, and is trained with genomic sequences spanning hundreds of species and proprietary synthetic mRNA sequences. ai.ginkgo.bio/resources/whit…

Excited to announce Ginkgo AI's newest release,mDD-0: our discrete diffusion model for designing full-length mRNA sequences. Trained using genomic sequences spanning hundreds of species and functional synthetic mRNA. Read more here: hubs.la/Q036BJ-W0