Leveraging knowledge engineering and machine learning for microbial bio-manufacturing-Reference-Cited by-同舟云学术

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Leveraging knowledge engineering and machine learning for microbial bio-manufacturing

Published:2018-07 Issue:4 Volume:36 Page:1308-1315
ISSN:0734-9750
Container-title:Biotechnology Advances
language:en
Short-container-title:Biotechnology Advances

Author:

Oyetunde Tolutola,Bao Forrest Sheng,Chen Jiung-Wen,Martin Hector Garcia,Tang Yinjie J.

Funder

Office of Energy Efficiency and Renewable Energy

National Science Foundation

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Biotechnology,Bioengineering,Applied Microbiology and Biotechnology

Reference89 articles.

1. Rhea—a manually curated resource of biochemical reactions;Alcántara;Nucleic Acids Res.,2011

2. OMERO: flexible, model-driven data management for experimental biology;Allan;Nat. Methods,2012

3. Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering;Alonso-Gutierrez;Metab. Eng.,2015

4. Cyclodextrin glycosyltransferase biosynthesis improvement by recombinant Lactococcus lactis NZ: NSP: CGT: medium formulation and culture condition optimization;Amiri;Biotechnol. Biotechnol. Equip.,2015

5. iSCHRUNK–in silico approach to characterization and reduction of uncertainty in the kinetic models of genome-scale metabolic networks;Andreozzi;Metab. Eng.,2016

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