Auto-omics for climate and sustainability
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
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4 results for Hybrid Cloud HPC
Virtual Experiments — a Lab in the Cloud
Helping researchers build and run virtual versions of real-world experiments in the cloud.
Simplified and Performant Access to Data in the Cloud
Reducing friction for scientific and foundation model workflows in Kubernetes.
Host-pathogen interactions for healthcare and drug discovery
An automated explainable bioinformatics and deep learning workflow to elucidate microbiome-metabolite relationships during a host-pathogen interaction.
