All Resources

Read all of the latest breakthroughs, insights, and news from Ginkgo.

BlogDecember 17, 2024
Releasing the GDPx2 Functional Genomics Dataset
BlogNovember 19, 2024
How to Engineer Protein Sequences with AA-0 and the Ginkgo AI API
BlogNovember 4, 2024
Engineering Stable mRNA: Insights from ML-Driven Design of 3' UTRs
BlogOctober 24, 2024
FT042 - Evolved vs. Engineered Proteins in the AA-0 Model
BlogOctober 23, 2024
High-Throughput Data at New Scales: How to get our industry over the hump of antibody developability
BlogOctober 10, 2024
FT041 - Locks, Keys and the Limits of AI in Biology
BlogSeptember 18, 2024
Generating Open-Source AI-Ready Protein Expression Datasets with Align to Innovate
BlogSeptember 18, 2024
Launching Ginkgo Datapoints: Transforming AI Model Training in Biology
BlogSeptember 17, 2024
Introducing Ginkgo’s Model API: A Programmable Interface for Ginkgo’s AI Research
BlogSeptember 17, 2024
Request Free Inference Tokens for Ginkgo's Model API
BlogSeptember 17, 2024
AminoAcid-0 (AA-0): A Protein LLM Trained with 2 Billion Proprietary Sequences
BlogAugust 15, 2024
FT035 - Enriching the Haystack for Better Biotech
BlogMay 1, 2024
FT024 - Creating and Understanding Biology in the AI Era
BlogMarch 6, 2024
FT018 - Function Landscapes and the Limits of AI for Bio
BlogFebruary 28, 2024
Introducing Ginkgo's Technology Network
BlogDecember 19, 2023
FT011 - Hard, Bad, Bitter: Why I'm Hopeful about AI for Biology
BlogNovember 2, 2023
FT005 - Improving a Stubborn Enzyme with AI and Data
BlogOctober 16, 2023
FT002 - Is Machine Learning the Language of Biology?
BlogAugust 29, 2023
Google and Ginkgo: Foundry-Scale Data Meets AI