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TeselaGen Biotechnology renews partnership with JBEL

TeselaGen Biotechnology renews partnership with JBEL
TeselaGen Biotechnology (TeselaGen) is building a scalable biotech R&D software platform for biotechnology. The cloud-based solution bridges the gaps between biologists who are designing valuable products – like biofuels, biologic medicines, and sustainably sourced chemicals – lab technicians who are running and optimizing experimental workflows, and bioinformaticians who analyze experimental data and have to recommend new experiments (image courtesy TeselaGen).

In the United States (US), biotechnology research platform provider TeselaGen Biotechnology, Inc. has announced that it is extending its relationship with the Joint BioEnergy Institute (JBEI) through 2027 via a new multi-year contract.

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TeselaGen and the Joint BioEnergy Institute (JBEI) have signed a new 5-year contract to add expanded workflow capabilities, extending their relationship through 2027.

JBEI, led by Lawrence Berkeley National Laboratory (Berkeley Lab) in California (CA), is one of four US Department of Energy (DOE) Bioenergy Research Centers (BRC) that conduct innovative research on biofuels and bioproducts.

TeselaGen and JBEI have been collaborating since 2017 on informatics tools for synthetic biology workflows. Over that time, JBEI has continued to deliver novel scientific advancements and breakthroughs needed to produce renewable, carbon-neutral biofuels from non-food plant fiber.

Biomanufacturing has become a vital component of the US strategy, which has been recently ratified by the US National Biotechnology and Biomanufacturing Initiative, to provide a Sustainable, Safe, and Secure American Bioeconomy. We are honored to continue to work with JBEI with their on-going efforts to enable the cost-effective biological production of fuels, products, and other components that are traditionally made through chemical processes, said Dr Eduardo Abeliuk, CEO and Co-founder of TeselaGen.

TeselaGen’s biotech R&D software platform allows biologists, lab technicians, and bioinformaticians to run scalable experiments, seamlessly connecting data, tools, and protocols for high-throughput workflows, allowing them to collaboratively design, build, test, and continually learn.

A modern approach coupled with AI modeling, opens the door for radical transformation of biology and biochemistry and enables rapid expansion of potential applications across biological R&D, agritech, protein engineering, antibody optimization, gene & cell therapy, and more.

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