Interested in LLMs for genomic research but don't know where to start? looking for a review/survey to get started in this field? 👇👇😀 I am very excited to share that our review paper titled "To Transformers and Beyond: Large Language Models for the Genome" is now available as a preprint (arxiv.org/abs/2311.07621)! Our review unveils a revolution in genomics analysis with Genome LLMs. 🧬 🔍 What's Inside: ✅ The power & challenges of transformers in genomics. ✅ Cutting-edge models like HeynaDNA and scGPT & their impact. ✅ Deep dives into Enformer, DNABERT, and other Genome LLMs. 🌍 Why it Matters: 1. GPT-4's influence reshapes AI in genomics. Unmatched insights into transformers' role in genomics. 2. Critical analysis of new models, addressing interpretability, privacy, & computational needs. 3. Essential for computational biologists & computer scientists to navigate the future of genomic data analysis. This is a work led by the amazing PhD student, Mica Consens, in the lab! Also, a huge collaborative work with lots of field leaders @fabian_theis @genophoria @MKarimzade @michaelwainberg and Alan Moses! @UofT @VectorInst @UofTCompSci @UofT_LMP @UHN @pmcc_ai @UHNAIHUB