Multi-omics time-series analysis in microbiome research: a systematic review.

Saved in:
Bibliographic Details
Title: Multi-omics time-series analysis in microbiome research: a systematic review.
Authors: Sherwani MK; Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen K, Denmark., Ruuskanen MO; Department of Computing, University of Turku, 20014, Turku, Finland., Feldner-Busztin D; Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038 Lisbon, Portugal., Nisantzis Firbas P; Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038 Lisbon, Portugal., Boza G; HUN-REN, Institute of Evolution, Centre for Ecological Research, H-1113 Budapest, Karolina Road 29, Hungary., Móréh Á; HUN-REN, Institute of Evolution, Centre for Ecological Research, H-1113 Budapest, Karolina Road 29, Hungary., Borman T; Department of Computing, University of Turku, 20014, Turku, Finland., Putu Erawijantari P; Department of Computing, University of Turku, 20014, Turku, Finland., Scheuring I; HUN-REN, Institute of Evolution, Centre for Ecological Research, H-1113 Budapest, Karolina Road 29, Hungary., Gopalakrishnan S; Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen K, Denmark., Lahti L; Department of Computing, University of Turku, 20014, Turku, Finland.
Source: Briefings in bioinformatics [Brief Bioinform] 2025 Aug 31; Vol. 26 (5).
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first