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Data lakes are repositories of raw data from many sources. These data can be mined for insights or to develop predictive capabilities. In the context of alternative proteins, a data lake could contain anonymized data from processing runs across many manufacturers (for example, readings from sensors integrated throughout the production process). These data could inform processing improvements and process failure troubleshooting with far greater insight than any individual manufacturer would be able to obtain on their own.
Use our open-access databases to explore how scientific taxonomies and evolutionary relationships map onto culinary categories of seafood.
Use this crowdsourced directory to find species-specific information on research tools, reagents, protocols, and data for cultivated meat researchers.
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An open-access database could provide functional and characterization data using standardized methods to facilitate direct performance comparisons among proteins and to train predictive algorithms.
More frameworks for academic-industry collaboration could help build talent pipelines, create research commercialization pathways, and drive alignment on research priorities.
Development of humanely-sourced and thoroughly documented and characterized cell lines from a variety of common food species—together with a mechanism for licensing and distributing these lines to researchers and companies—will…
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Browse 300+ startup ideas, commercial opportunities, research projects, and investment priorities throughout the alternative protein supply chain.
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