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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9252810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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