ISSN:
0138-4988
Keywords:
Life Sciences
;
Life Sciences (general)
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Process Engineering, Biotechnology, Nutrition Technology
Notes:
Computerized procedures for the classification and discrimination of yeasts are presented which base on feature data files and classification techniques involved in a data bank project (BD1). Microbiological (physiological and morphological) and analytical feature data classes (fatty acid patterns from gas chromatography, fourier coefficeints from FTIR spectra, fluorescence patterns) were used to show the possibilities of yeast classification, carried out by means of these features and statistical or non-statistical methods. Results obtained by a suitable combination of these methods are presented.
Additional Material:
1 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/abio.370100505
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