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MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology

With the upgrade and development of the high-throughput sequencing technology, multi-omics data can be obtained at a low cost. However, mapping tools that existed for microbial multi-omics data analysis cannot satisfy the needs of data description and result in high learning costs, complex dependenc...

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Autores principales: Li, JinHui, Sang, Yimeng, Zeng, Sen, Mo, Shuming, Zhang, Zufan, He, Sheng, Li, Xinying, Su, Guijiao, Liao, Jianping, Jiang, Chengjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024144/
https://www.ncbi.nlm.nih.gov/pubmed/35464838
http://dx.doi.org/10.3389/fgene.2022.853612
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author Li, JinHui
Sang, Yimeng
Zeng, Sen
Mo, Shuming
Zhang, Zufan
He, Sheng
Li, Xinying
Su, Guijiao
Liao, Jianping
Jiang, Chengjian
author_facet Li, JinHui
Sang, Yimeng
Zeng, Sen
Mo, Shuming
Zhang, Zufan
He, Sheng
Li, Xinying
Su, Guijiao
Liao, Jianping
Jiang, Chengjian
author_sort Li, JinHui
collection PubMed
description With the upgrade and development of the high-throughput sequencing technology, multi-omics data can be obtained at a low cost. However, mapping tools that existed for microbial multi-omics data analysis cannot satisfy the needs of data description and result in high learning costs, complex dependencies, and high fees for researchers in experimental biology fields. Therefore, developing a toolkit for multi-omics data is essential for microbiologists to save effort. In this work, we developed MicrobioSee, a real-time interactive visualization tool based on web technologies, which could visualize microbial multi-omics data. It includes 17 modules surrounding the major omics data of microorganisms such as the transcriptome, metagenome, and proteome. With MicrobioSee, methods for plotting are simplified in multi-omics studies, such as visualization of diversity, ROC, and enrichment pathways for DEGs. Subsequently, three case studies were chosen to represent the functional application of MicrobioSee. Overall, we provided a concise toolkit along with user-friendly, time-saving, cross-platform, and source-opening for researchers, especially microbiologists without coding experience. MicrobioSee is freely available at https://microbiosee.gxu.edu.cn.
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spelling pubmed-90241442022-04-23 MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology Li, JinHui Sang, Yimeng Zeng, Sen Mo, Shuming Zhang, Zufan He, Sheng Li, Xinying Su, Guijiao Liao, Jianping Jiang, Chengjian Front Genet Genetics With the upgrade and development of the high-throughput sequencing technology, multi-omics data can be obtained at a low cost. However, mapping tools that existed for microbial multi-omics data analysis cannot satisfy the needs of data description and result in high learning costs, complex dependencies, and high fees for researchers in experimental biology fields. Therefore, developing a toolkit for multi-omics data is essential for microbiologists to save effort. In this work, we developed MicrobioSee, a real-time interactive visualization tool based on web technologies, which could visualize microbial multi-omics data. It includes 17 modules surrounding the major omics data of microorganisms such as the transcriptome, metagenome, and proteome. With MicrobioSee, methods for plotting are simplified in multi-omics studies, such as visualization of diversity, ROC, and enrichment pathways for DEGs. Subsequently, three case studies were chosen to represent the functional application of MicrobioSee. Overall, we provided a concise toolkit along with user-friendly, time-saving, cross-platform, and source-opening for researchers, especially microbiologists without coding experience. MicrobioSee is freely available at https://microbiosee.gxu.edu.cn. Frontiers Media S.A. 2022-04-08 /pmc/articles/PMC9024144/ /pubmed/35464838 http://dx.doi.org/10.3389/fgene.2022.853612 Text en Copyright © 2022 Li, Sang, Zeng, Mo, Zhang, He, Li, Su, Liao and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Li, JinHui
Sang, Yimeng
Zeng, Sen
Mo, Shuming
Zhang, Zufan
He, Sheng
Li, Xinying
Su, Guijiao
Liao, Jianping
Jiang, Chengjian
MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title_full MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title_fullStr MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title_full_unstemmed MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title_short MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology
title_sort microbiosee: a web-based visualization toolkit for multi-omics of microbiology
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024144/
https://www.ncbi.nlm.nih.gov/pubmed/35464838
http://dx.doi.org/10.3389/fgene.2022.853612
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