We're thrilled to announce SeqHub, an AI-enabled platform for biological sequence analysis. SeqHub brings together sequence search, genome annotation, and data sharing in one place.

It’s official! 🎉 I’m thrilled to announce that I will be joining MIT as an assistant professor in a shared appointment between Biology, EECS and Schwarzman College of Computing this fall.

Like a human biologist, Gaia Agent considers sequence, structure and genomic context to *think* about functions of novel genes, drastically accelerating our ability to predict functions of billions of unannotated proteins across the tree of life.

Can LLM agents discover novel protein functions? Introducing Gaia Agent 🌎 🤖: an AI biologist capable of reasoning across genomic contexts to predict functions of proteins! Gaia Agent is now integrated with Gaia Search at gaia.tatta.bio

If you are at #NeurIPS2024 don't miss @ancornman1.bsky.social's talk on OMG/gLM2 at 9AM! @workshopmlsb.bsky.social East meeting room 11,12

Check out our preprint www.tatta.bio/gaia-paper for benchmarking results. In our manuscript, we showcase how Gaia can be used for annotating uncharacterized #phage proteins and discovering putative biosynthetic gene clusters!

Gaia searches the protein universe comprising 85M clusters across hundreds of thousands of microbial genomes. Embedding-based search takes ~0.2s per sequence, which is at least two orders of magnitude faster than BLASTp, allowing for real-time search.

Gaia (Genomic AI Annotator) is an embedding-based search tool that leverages gLM2_embed model to generate context-aware, structure-aligned embeddings.

Hello 🦋 #protein / #microbio / #BioML community! We are excited to release Gaia🌎, a context-aware protein search tool, extending protein search and discovery capabilities beyond sequence and structure, to include *genomic context*. Search your favorite protein sequences with on gaia.tatta.bio