All Resources
Read all of the latest breakthroughs, insights, and news from Ginkgo.
BlogDecember 17, 2024
Releasing the GDPx2 Functional Genomics DatasetBlogNovember 19, 2024
How to Engineer Protein Sequences with AA-0 and the Ginkgo AI APIBlogNovember 4, 2024
Engineering Stable mRNA: Insights from ML-Driven Design of 3' UTRsBlogOctober 24, 2024
FT042 - Evolved vs. Engineered Proteins in the AA-0 ModelBlogOctober 23, 2024
High-Throughput Data at New Scales: How to get our industry over the hump of antibody developabilityBlogOctober 10, 2024
FT041 - Locks, Keys and the Limits of AI in BiologyBlogSeptember 18, 2024
Generating Open-Source AI-Ready Protein Expression Datasets with Align to InnovateBlogSeptember 18, 2024
Launching Ginkgo Datapoints: Transforming AI Model Training in BiologyBlogSeptember 17, 2024
Introducing Ginkgo’s Model API: A Programmable Interface for Ginkgo’s AI ResearchBlogSeptember 17, 2024
Request Free Inference Tokens for Ginkgo's Model APIBlogSeptember 17, 2024
AminoAcid-0 (AA-0): A Protein LLM Trained with 2 Billion Proprietary SequencesBlogAugust 15, 2024
FT035 - Enriching the Haystack for Better BiotechBlogMay 30, 2024
FT027 - Hard Biology: ToxicityBlogMay 1, 2024
FT024 - Creating and Understanding Biology in the AI EraBlogMarch 20, 2024
Humans of Ginkgo: Nádia Parachin Talks BioproductionBlogMarch 6, 2024
FT018 - Function Landscapes and the Limits of AI for BioBlogFebruary 28, 2024
Acquiring Reverie Labs Platform to Enhance AI-Driven Drug Discovery Capabilities for Customer ProgramsBlogFebruary 28, 2024
Introducing Ginkgo's Technology NetworkBlogDecember 19, 2023
FT011 - Hard, Bad, Bitter: Why I'm Hopeful about AI for BiologyBlogNovember 2, 2023
FT005 - Improving a Stubborn Enzyme with AI and DataBlogOctober 16, 2023
FT002 - Is Machine Learning the Language of Biology?BlogAugust 29, 2023
Google and Ginkgo: Foundry-Scale Data Meets AI