{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T13:01:55Z","timestamp":1785675715921,"version":"3.56.0"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"W1","license":[{"start":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T00:00:00Z","timestamp":1621555200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008762","name":"Genome Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008762","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Genome Quebec"},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001804","name":"Canada Research Chairs","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Data analysis and interpretation remain a critical bottleneck in current multi-omics studies. Here, we introduce OmicsAnalyst, a user-friendly, web-based platform that allows users to perform a wide range of well-established data-driven approaches for multi-omics integration, and visually explore their results in a clear and meaningful manner. To help navigate complex landscapes of multi-omics analysis, these approaches are organized into three visual analytics tracks: (i) the correlation network analysis track, where users choose among univariate and multivariate methods to identify important features and explore their relationships in 2D or 3D networks; (ii) the cluster heatmap analysis track, where users apply several cutting-edge multi-view clustering algorithms and explore their results via interactive heatmaps;\u00a0and (iii) the dimension reduction analysis track, where users choose among several recent multivariate techniques to reveal global data structures, and explore corresponding scores, loadings and biplots in interactive 3D scatter plots. The three visual analytics tracks are equipped with comprehensive options for parameter customization, view customization and targeted analysis. OmicsAnalyst lowers the access barriers to many well-established methods for multi-omics integration via novel visual analytics. It is freely available at https:\/\/www.omicsanalyst.ca.<\/jats:p>","DOI":"10.1093\/nar\/gkab394","type":"journal-article","created":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T03:24:57Z","timestamp":1619666697000},"page":"W476-W482","source":"Crossref","is-referenced-by-count":99,"title":["OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data"],"prefix":"10.1093","volume":"49","author":[{"given":"Guangyan","family":"Zhou","sequence":"first","affiliation":[{"name":"Institute of Parasitology, McGill University, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7555-736X","authenticated-orcid":false,"given":"Jessica","family":"Ewald","sequence":"additional","affiliation":[{"name":"Department of Natural Resource Sciences, McGill University, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2040-2624","authenticated-orcid":false,"given":"Jianguo","family":"Xia","sequence":"additional","affiliation":[{"name":"Institute of Parasitology, McGill University, Montreal, Quebec, Canada"},{"name":"Department of Animal Science, McGill University, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,5,21]]},"reference":[{"key":"2021070812083774400_B1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s13059-017-1215-1","article-title":"Multi-omics approaches to disease","volume":"18","author":"Hasin","year":"2017","journal-title":"Genome Biol."},{"key":"2021070812083774400_B2","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.chom.2014.08.014","article-title":"The integrative human microbiome project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease","volume":"16","author":"Integrative","year":"2014","journal-title":"Cell Host Microbe"},{"key":"2021070812083774400_B3","doi-asserted-by":"crossref","first-page":"62","DOI":"10.3390\/metabo7040062","article-title":"Computational approaches for integrative analysis of the metabolome and microbiome","volume":"7","author":"Chong","year":"2017","journal-title":"Metabolites"},{"key":"2021070812083774400_B4","doi-asserted-by":"crossref","first-page":"10546","DOI":"10.1093\/nar\/gky889","article-title":"Multi-omic and multi-view clustering algorithms: review and cancer benchmark","volume":"46","author":"Rappoport","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"2021070812083774400_B5","doi-asserted-by":"crossref","first-page":"2917","DOI":"10.1093\/bioinformatics\/btr499","article-title":"Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA","volume":"27","author":"Kamburov","year":"2011","journal-title":"Bioinformatics"},{"key":"2021070812083774400_B6","doi-asserted-by":"crossref","first-page":"W503","DOI":"10.1093\/nar\/gky466","article-title":"PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data","volume":"46","author":"Hernandez-de-Diego","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"2021070812083774400_B7","doi-asserted-by":"crossref","first-page":"W514","DOI":"10.1093\/nar\/gky510","article-title":"OmicsNet: a web-based tool for creation and visual analysis of biological networks in 3D space","volume":"46","author":"Zhou","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"2021070812083774400_B8","doi-asserted-by":"crossref","first-page":"84","DOI":"10.3389\/fgene.2017.00084","article-title":"More is better: recent progress in multi-omics data integration methods","volume":"8","author":"Huang","year":"2017","journal-title":"Front Genet"},{"key":"2021070812083774400_B9","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.cell.2010.11.013","article-title":"An integrated approach to uncover drivers of cancer","volume":"143","author":"Akavia","year":"2010","journal-title":"Cell"},{"key":"2021070812083774400_B10","first-page":"e1005752","article-title":"mixOmics: an R package for \u2018omics feature selection and multiple data integration","author":"Rohart","year":"2017"},{"key":"2021070812083774400_B11","first-page":"162","article-title":"A multivariate approach to the integration of multi-omics datasets","author":"Meng","year":"2014"},{"key":"2021070812083774400_B12","doi-asserted-by":"crossref","first-page":"e8124","DOI":"10.15252\/msb.20178124","article-title":"Multi-omics factor analysis - a framework for unsupervised integration of multi-omics data sets","volume":"14","author":"Argelaguet","year":"2018","journal-title":"Mol. 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