Synthetic biology: Learning the way toward high-precision biological design.

Kitano, Shohei; Lin, Ciai; Foo, Jee Loon; Chang, Matthew Wook

Kitano, Shohei; Lin, Ciai; Foo, Jee Loon; Chang, Matthew Wook.

Afiliação

Kitano S; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore.
Lin C; Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Foo JL; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Chang MW; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore.

PLoS Biol ; 21(4): e3002116, 2023 04.

Article em En | MEDLINE | ID: mdl-37099620

ABSTRACT

ABSTRACT

Since its inception, synthetic biology has overcome many technical barriers but is at a crossroads for high-precision biological design. Devising ways to fully utilize big biological data may be the key to achieving greater heights in synthetic biology.

Assuntos

Big Data; Biologia Sintética

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Sintética / Big Data Idioma: En Revista: PLoS Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Singapura

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