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Title:Metagenomics studies in aquaculture systems : big data analysis, bioinformatics, machine learning and quantum computing
Authors:ID Coskuner-Weber, Orkid (Author)
ID Alpsoy, Semih (Author)
ID Yolcu, Ozgur (Author)
ID Teber, Egehan (Author)
ID De Marco, Ario (Author)
ID Shumka, Spase (Author)
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Unknown
Typology:1.02 - Review Article
Organization:UNG - University of Nova Gorica
Keywords:marine biology, machine learning, diagnostics
Publication status:Published
Publication version:Version of Record
Publication date:01.10.2025
Year of publishing:2025
Number of pages:str. 1-13
Numbering:Vol. 118, [article no.] ǂ 108444
PID:20.500.12556/RUNG-9963 New window
COBISS.SI-ID:231560963 New window
UDC:577.2
ISSN on article:1476-9271
DOI:10.1016/j.compbiolchem.2025.108444 New window
NUK URN:URN:SI:UNG:REP:FWOV2WRV
Publication date in RUNG:07.04.2025
Views:234
Downloads:0
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COSKUNER-WEBER, Orkid, ALPSOY, Semih, YOLCU, Ozgur, TEBER, Egehan, DE MARCO, Ario and SHUMKA, Spase, 2025, Metagenomics studies in aquaculture systems : big data analysis, bioinformatics, machine learning and quantum computing. Computational biology and chemistry [online]. 2025. Vol. 118, no. 108444, p. 1–13. [Accessed 16 April 2025]. DOI 10.1016/j.compbiolchem.2025.108444. Retrieved from: https://repozitorij.ung.si/IzpisGradiva.php?lang=eng&id=9963
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Record is a part of a journal

Title:Computational biology and chemistry
Publisher:Elsevier
ISSN:1476-9271
COBISS.SI-ID:22808342 New window

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