magyar

Inter-kingdom interactions and stability of methanogens revealed by machine-learning guided multi-omics analysis of industrial-scale biogas plants

Wirth Roland and Bagi Zoltán and Shetty Prateek and Szuhaj Márk and Cheung Teur Teur Sally and Kovács Kornél Lajos and Maróti Gergely: Inter-kingdom interactions and stability of methanogens revealed by machine-learning guided multi-omics analysis of industrial-scale biogas plants.
ISME JOURNAL, 17 (8). pp. 1326-1339. ISSN 1751-7362 (2023)

[thumbnail of 2023_The_ISME_JournalWirthR.pdf] Text
2023_The_ISME_JournalWirthR.pdf - Published Version
Download (6MB)
Creators:
Wirth Roland MTMT
Bagi Zoltán MTMT
Shetty Prateek MTMT
Szuhaj Márk MTMT
Cheung Teur Teur Sally
Kovács Kornél Lajos MTMT
Maróti Gergely MTMT
Item Type: Journal Article
Journal or Publication Title: ISME JOURNAL
Date: 2023
Volume: 17
Number: 8
Page Range: pp. 1326-1339
ISSN: 1751-7362
Faculty/Unit: Faculty of Science and Informatics
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 34011308
DOI azonosító: https://doi.org/10.1038/s41396-023-01448-3
Date Deposited: 2023. Aug. 08. 08:20
Last Modified: 2023. Aug. 08. 08:20
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/28045
Web of Science® Times Cited: 7 View citing articles in Web of Science®

Actions (login required)

View Item View Item
Download Statistics

Downloads

Downloads per month over past year

Technical information: publicatio AT ek.szte.hu
SZTE Repository of Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.