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INDONESIA
International Journal of Intelligent Systems and Applications in Engineering
Published by Ismail SARITAS
ISSN : 21476799     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
International Journal of Intelligent Systems and Applications in Engineering (IJISAE) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range of papers covering theory and practice in order to facilitate future efforts of individuals and groups involved in the field. IJISAE, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems in engineering. Its coverage also includes papers on intelligent systems applications in areas such as nanotechnology, renewable energy, medicine engineering, Aeronautics and Astronautics, mechatronics, industrial manufacturing, bioengineering, agriculture, services, intelligence based automation and appliances, medical robots and robotic rehabilitations, space exploration and etc.
Arjuna Subject : -
Articles 1 Documents
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Search results for , issue " Vol 1, No 3 (2013)" : 1 Documents clear
Store data from experiments with microorganisms used in food industry Bosakova-Ardenska, Atanaska
International Journal of Intelligent Systems and Applications in Engineering Vol 1, No 3 (2013)
Publisher : Advanced Technology and Science (ATScience)

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Abstract

The aim of this paper is to present results from collaboration of computer engineers and experimenters in microbiology working with molecular-genetic methods. The experimenters in microbiological laboratory at the University of Food Technologies use ARDRA (Amplified Ribosomal DNA Restriction Analysis) analyses and DNA sequencing processed with BLAST (Basic Local Alignment Search Tool) algorithm to identify some microorganisms. Their results have been accumulated in designed database. This will improve the effectiveness and productivity of the molecular-genetic analyses in department of microbiology.

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