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OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics

Researchers are increasingly seeking to interpret molecular data within a multi-omics context to gain a more comprehensive picture of their study system. OmicsNet (www.omicsnet.ca) is a web-based tool developed to allow users to easily build, visualize, and analyze multi-omics networks to study rich...

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Detalles Bibliográficos
Autores principales: Zhou, Guangyan, Pang, Zhiqiang, Lu, Yao, Ewald, Jessica, Xia, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252810/
https://www.ncbi.nlm.nih.gov/pubmed/35639733
http://dx.doi.org/10.1093/nar/gkac376
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author Zhou, Guangyan
Pang, Zhiqiang
Lu, Yao
Ewald, Jessica
Xia, Jianguo
author_facet Zhou, Guangyan
Pang, Zhiqiang
Lu, Yao
Ewald, Jessica
Xia, Jianguo
author_sort Zhou, Guangyan
collection PubMed
description Researchers are increasingly seeking to interpret molecular data within a multi-omics context to gain a more comprehensive picture of their study system. OmicsNet (www.omicsnet.ca) is a web-based tool developed to allow users to easily build, visualize, and analyze multi-omics networks to study rich relationships among lists of ‘omics features of interest. Three major improvements have been introduced in OmicsNet 2.0, which include: (i) enhanced network visual analytics with eleven 2D graph layout options and a novel 3D module layout; (ii) support for three new ‘omics types: single nucleotide polymorphism (SNP) list from genetic variation studies; taxon list from microbiome profiling studies, as well as liquid chromatography–mass spectrometry (LC–MS) peaks from untargeted metabolomics; and (iii) measures to improve research reproducibility by coupling R command history with the release of the companion OmicsNetR package, and generation of persistent links to share interactive network views. We performed a case study using the multi-omics data obtained from a recent large-scale investigation on inflammatory bowel disease (IBD) and demonstrated that OmicsNet was able to quickly create meaningful multi-omics context to facilitate hypothesis generation and mechanistic insights.
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spelling pubmed-92528102022-07-05 OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics Zhou, Guangyan Pang, Zhiqiang Lu, Yao Ewald, Jessica Xia, Jianguo Nucleic Acids Res Web Server Issue Researchers are increasingly seeking to interpret molecular data within a multi-omics context to gain a more comprehensive picture of their study system. OmicsNet (www.omicsnet.ca) is a web-based tool developed to allow users to easily build, visualize, and analyze multi-omics networks to study rich relationships among lists of ‘omics features of interest. Three major improvements have been introduced in OmicsNet 2.0, which include: (i) enhanced network visual analytics with eleven 2D graph layout options and a novel 3D module layout; (ii) support for three new ‘omics types: single nucleotide polymorphism (SNP) list from genetic variation studies; taxon list from microbiome profiling studies, as well as liquid chromatography–mass spectrometry (LC–MS) peaks from untargeted metabolomics; and (iii) measures to improve research reproducibility by coupling R command history with the release of the companion OmicsNetR package, and generation of persistent links to share interactive network views. We performed a case study using the multi-omics data obtained from a recent large-scale investigation on inflammatory bowel disease (IBD) and demonstrated that OmicsNet was able to quickly create meaningful multi-omics context to facilitate hypothesis generation and mechanistic insights. Oxford University Press 2022-05-26 /pmc/articles/PMC9252810/ /pubmed/35639733 http://dx.doi.org/10.1093/nar/gkac376 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Zhou, Guangyan
Pang, Zhiqiang
Lu, Yao
Ewald, Jessica
Xia, Jianguo
OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title_full OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title_fullStr OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title_full_unstemmed OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title_short OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
title_sort omicsnet 2.0: a web-based platform for multi-omics integration and network visual analytics
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252810/
https://www.ncbi.nlm.nih.gov/pubmed/35639733
http://dx.doi.org/10.1093/nar/gkac376
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