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  4. Engineering of Clostridium pasteurianum for formate uptake and application of unsupervised learning from fermantation analysis
 
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Engineering of Clostridium pasteurianum for formate uptake and application of unsupervised learning from fermantation analysis

Publikationstyp
Doctoral Thesis
Date Issued
2022
Sprache
English
Author(s)
Hong, Yaeseong  
Advisor
Zeng, An-Ping  orcid-logo
Referee
Grünberger, Alexander  
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2022-03-21
Institut
Bioprozess- und Biosystemtechnik V-1  
TORE-URI
http://hdl.handle.net/11420/12694
Citation
Dr. Hut 978-3-8439-5030-5: (2022)
Publisher
Dr. Hut
DDC Class
570: Biowissenschaften, Biologie
600: Technik
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