工作流程
可追溯性
可扩展性
仪表板
可视化
计算机科学
用户友好型
数据可视化
功能(生物学)
数据科学
万维网
数据库
数据挖掘
软件工程
生物
操作系统
进化生物学
作者
Yunyun Gao,Guo‐Xing Zhang,Shunyao Jiang,Yongxin Liu
出处
期刊:iMeta
[Wiley]
日期:2024-02-01
卷期号:3 (1): e175-e175
被引量:165
摘要
Abstract The increasing application of meta‐omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for existing bioinformatics tools. In response, we introduce Wekemo Bioincloud—a specialized platform for ‐omics studies. This platform offers a comprehensive analysis solution, specifically designed to alleviate the challenges of tool selection for users in the face of expanding data sets. As of now, Wekemo Bioincloud has been regularly equipped with 22 workflows and 65 visualization tools, establishing itself as a user‐friendly and widely embraced platform for studying diverse data sets. Additionally, the platform enables the online modification of vector outputs, and the registration‐independent personalized dashboard system ensures privacy and traceability. Wekemo Bioincloud is freely available at https://www.bioincloud.tech/ .
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