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Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity.
Long, Bin; Fischer, Bart; Zeng, Yining; Amerigian, Zoe; Li, Qiang; Bryant, Henry; Li, Man; Dai, Susie Y; Yuan, Joshua S.
Afiliação
  • Long B; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
  • Fischer B; Department of Agricultural Economics, Texas A&M University, College Station, TX, 77843, USA.
  • Zeng Y; Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
  • Amerigian Z; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
  • Li Q; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
  • Bryant H; Department of Agricultural Economics, Texas A&M University, College Station, TX, 77843, USA.
  • Li M; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
  • Dai SY; Synthetic and Systems Biology Innovation Hub (SSBiH), Texas A&M University, College Station, TX, 77843, USA.
  • Yuan JS; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
Nat Commun ; 13(1): 541, 2022 01 27.
Article em En | MEDLINE | ID: mdl-35087023
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biocombustíveis / Microalgas / Biologia Sintética / Aprendizado de Máquina Idioma: En Revista: Nat Commun Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biocombustíveis / Microalgas / Biologia Sintética / Aprendizado de Máquina Idioma: En Revista: Nat Commun Ano de publicação: 2022 Tipo de documento: Article