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Dominguez, A., Ferminan, E. and Gaillardin, C. (2000) Yarrowia lipolytica: an organism amenable to genetic manipulation as a model for analyzing dimorphism in fungi. Contributions to Microbiology, 5, 151-172.

has been cited by the following article:

• TITLE: Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks

  AUTHORS: Sarat Babu Imandi, Sita Kumari Karanam, Surekha Darsipudi, Hanumantha Rao Garapati

  KEYWORDS: Yarrowia lipolytica; Logistic Equation; Artificial Neural Networks

  JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.1 No.1, April 22, 2010

  ABSTRACT: Growth rate of Yarrowia lipolytica NCIM 3589 was observed in a fermentation medium consisting of peptone, yeast extract, sodium chloride. Logistic equation was fitted to the growth data (time vs. biomass concentration) and compared with the prediction given by Artificial Neural Networks (ANN). ANN was found to be superior in describing growth characteristics. A single MATLAB programme is developed to fit the growth data by logistic equation and ANN.