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

Frontiers in Genetics

Sheng He¹  Xinying Li²  Chengjian Jiang³  Shuming Mo³  Jianping Liao⁴  JinHui Li⁵  Guijiao Su⁵  Yimeng Sang⁵  Zufan Zhang⁵  Sen Zeng⁵ 

[1] Guangxi Birth Defects Prevention and Control Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China;Key Laboratory of Industrial Biotechnology, School of Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China;National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Key Laboratory of Bio-Refinery, Guangxi Research Center for Biological Science and Technology, Guangxi Academy of Sciences, Nanning, China;School of Computer and Information Engineering, Nanning Normal University, Nanning, China;State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Research Center for Microbial and Enzyme Engineering Technology, College of Life Science and Technology, Guangxi University, Nanning, China;

关键词: MicrobioSee;    metagenome;    integration analysis;    visualization toolkit;    stacked column chart;   

DOI  :  10.3389/fgene.2022.853612

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown