{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T10:08:40Z","timestamp":1782727720281,"version":"3.54.5"},"reference-count":206,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T00:00:00Z","timestamp":1759708800000},"content-version":"vor","delay-in-days":36,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union's Horizon 2020 research and innovation programme","award":["952914"],"award-info":[{"award-number":["952914"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,31]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Recent developments in data generation have opened up unprecedented insights into living systems. It has been recognized that integrating and characterizing temporal variation simultaneously across multiple scales, from specific molecular interactions to entire ecosystems, is crucial for uncovering biological mechanisms and understanding the emergence of complex phenotypes. With the increasing number of studies incorporating multi-omics data sampled over time, it has become clear that integrated approaches are pivotal for these efforts. However, standard data analytical practices in longitudinal multi-omics are still shaping up and many of the available methods have not yet been widely evaluated and adopted. To address this gap, we performed the first systematic literature review that comprehensively categorizes, compares, and evaluates computational methods for longitudinal multi-omics integration, with a particular emphasis on four categories of the studies: (i) host and host-associated microbiome studies, (ii) microbiome-free host studies, (iii) host-free microbiome studies, and (iv) methodological framework studies. Our review highlights current methodological trends, identifies widely used and high-performing frameworks, and assesses each method across performance, interpretability, and ease of use. We further organize these methods into thematic groups\u2014such as statistical modeling, machine learning, dimensionality reduction, and latent factor approaches\u2014to provide a clear roadmap for future research and application. This work offers a critical foundation for advancing integrative longitudinal data science and supporting reproducible, scalable analysis in this rapidly evolving field.<\/jats:p>","DOI":"10.1093\/bib\/bbaf502","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:12:40Z","timestamp":1759770760000},"source":"Crossref","is-referenced-by-count":26,"title":["Multi-omics time-series analysis in microbiome research: a systematic review"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6061-6753","authenticated-orcid":false,"given":"Moiz Khan","family":"Sherwani","sequence":"first","affiliation":[{"name":"Center for Evolutionary Hologenomics , GLOBE Institute, University of Copenhagen, \u00d8ster Farimagsgade 5, 1353 Copenhagen K,","place":["Denmark"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matti O","family":"Ruuskanen","sequence":"additional","affiliation":[{"name":"Department of Computing , University of Turku, 20014, Turku,","place":["Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dylan","family":"Feldner-Busztin","sequence":"additional","affiliation":[{"name":"Champalimaud Research , Champalimaud Centre for the Unknown, Av. 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Bras\u00edlia, 1400-038 Lisbon,","place":["Portugal"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gergely","family":"Boza","sequence":"additional","affiliation":[{"name":"HUN-REN , Institute of Evolution, Centre for Ecological Research, H-1113 Budapest, Karolina Road 29,","place":["Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1gnes","family":"M\u00f3r\u00e9h","sequence":"additional","affiliation":[{"name":"HUN-REN , Institute of Evolution, Centre for Ecological Research, H-1113 Budapest, Karolina Road 29,","place":["Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuomas","family":"Borman","sequence":"additional","affiliation":[{"name":"Department of Computing , University of Turku, 20014, Turku,","place":["Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pande","family":"Putu Erawijantari","sequence":"additional","affiliation":[{"name":"Department of Computing , University of Turku, 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