Sentence examples for biotechnology advances from inspiring English sources

Exact(14)

Embryogenic cultures have been used in cryopreservation, genetic transformation, propagation, virus elimination, induced mutagenesis and in many other biotechnological applications, providing excellent opportunities for biotechnology advances in grapevine.

Thiel has funded anti-ageing researchers the Sens Foundation, which believes biotechnology advances may soon banish death itself.

Private companies and universities are busy patenting plant genes and claiming intellectual property rights to biotechnology advances.

Dr. Skoog also studied the way that roots, stems and leaves could be controlled, and he demonstrated that whole plants could be grown from cultured cells, pointing the way to the production of transgenic plants and other biotechnology advances.

Nevertheless, the present study has been mainly focused on their recent developments in the preclinical studies, biotechnology advances and future directions of ascidian secondary metabolites.

This has become possible owing to recent biotechnology advances including induced pluripotent stem cells, organs-on-a-chip, and whole-genome sequencing.

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And with the advent of biotechnology, advanced research now requires tools that some public institutes cannot afford, like gene databases.

They are alternative energy, energy efficiency, environmental protection, biotechnology, advanced information technologies, high-end equipment manufacturing and so-called new energy vehicles, like hybrid and all-electric cars.

But there also are many start-ups outside the information technology realm, focusing on fields like biotechnology, advanced manufacturing and medical devices.

In addition, stem cells from individuals with various diseases can be utilized for biotechnology advance, for example, in drug screening.

Fuelled by the growing volume, diversity and complexity of genome-wide profiling data generated from high-throughput biotechnologies, advanced computational approaches such as machine learning have been used to analyze multi-dimensional experimental data and integrate results from many studies [ 4- 10].

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